(Hands-On) Senior/Lead Architect, Golang, LLM/GenAI, VR/AR/MR, Embedded, WebRTC, AI Workshops

Implementing the strategic mobile app for a healthcare solution, which is targetting professional personel, helping caregivers and family caregivers. The app shall enable customers to customize the (complex) behavior of a dedicated hardware system as easy as possible. The solution is based on current Angular 19 and Ionic 8 to be able to use the latest Angular features in specific. The UI is designed/optimized especially for the specific needs of the customer base.

The app connects with an custom embedded system using REST API. The related server has been implemented by me prior to this UI/UX project.

Angular 19, Ionic 8, Capacitor, NgRX, Signals, Barcode Scanner, Internalization, zeroconf, Typescript, Android, iOS

Leading the development and successful deployment initially of a Proof of Concept (PoC), followed by the launch of the final production-ready solution. The product is consisting of the backend business logic, and is running on an custom embedded device. The second part is the mobile frontend based on Ionic (Android, iOS), targeting a market entry in Q1, 202.

Defined and implemented a mobile application for iOS and Android using Ionic and Angular, integrating the mobile client with the embedded Golang server. Implementing specific system services for IR, BLE and 433 MHz subsystems. Implementing the backend with IoT and edge computing capabilities for real-time data processing. Starting to analyze different user behavior to provide even better user experience.

Implemented a automatic credentials (serial number, wlan details, ansible related details etc.) product generation flow based on n8n and Pocketbase. Implemented the completely automatic Ubuntu image and configuration system based on Pocketbase (Golang) business logic and Ansible for system setup and configuration.

Implemented a diverse range of sensor and radar technologies to enhance device interactivity and data accuracy to improve healthcare monitoring and diagnostics use cases.
Defined three LLM-based use cases and implemented the initial FTI pipeline based on MLOps scenarios and current tooling. The first use case uses the customer and internal documentation and uses a local model, Ollama, RAG, a vector database and a dedicated UI to allow users to chat with the AI Agent. Various fine-tuning sessions were part of this task. The second use case will analyze log data to improve our products. The third use case is based on radar technology to analyze user/patient health state etc. with a visual transformer model.

Planning closely with the startup team to ensure a seamless handover of the current solution, including detailed documentation and user guides created with Figma and wireframing tools.
Post-launch, continuing to provide strategic support and enhancements, currently dedicating approximately weekend 10 hours per month to oversee the application's performance and user feedback integration. Working on the preparation and implementation of the needed measures to support mandatory and some optional processes related to the BSI KRITIS rules.

Setting up team/company related tools (mailcow, n8n, nextcloud).Leading the development and successful deployment initially of a Proof of Concept (PoC), followed by the launch of the final production-ready solution. The product is consisting of the backend business logic, and is running on an custom embedded device. The second part is the mobile frontend based on Ionic (Android, iOS), targeting a market entry in Q1, 202.

Defined and implemented a mobile application for iOS and Android using Ionic and Angular, integrating the mobile client with the embedded Golang server. Implementing specific system services for IR, BLE and 433 MHz subsystems. Implementing the backend with IoT and edge computing capabilities for real-time data processing. Starting to analyze different user behavior to provide even better user experience.

Implemented a automatic credentials (serial number, wlan details, ansible related details etc.) product generation flow based on n8n and Pocketbase. Implemented the completely automatic Ubuntu image and configuration system based on Pocketbase (Golang) business logic and Ansible for system setup and configuration.

Implemented a diverse range of sensor and radar technologies to enhance device interactivity and data accuracy to improve healthcare monitoring and diagnostics use cases.

Defined three LLM-based use cases and implemented the initial FTI pipeline based on MLOps scenarios and current tooling. The first use case uses the customer and internal documentation and uses a local model, Ollama, RAG, a vector database and a dedicated UI to allow users to chat with the AI Agent. Various fine-tuning sessions were part of this task. The second use case will analyze log data to improve our products. The third use case is based on radar technology to analyze user/patient health state etc. with a visual transformer model.

Planning closely with the startup team to ensure a seamless handover of the current solution, including detailed documentation and user guides created with Figma and wireframing tools.

Post-launch, continuing to provide strategic support and enhancements, currently dedicating approximately weekend 10 hours per month to oversee the application's performance and user feedback integration. Working on the preparation and implementation of the needed measures to support mandatory and some optional processes related to the BSI KRITIS rules.

Setting up team/company related tools (mailcow, n8n, nextcloud).

Tech stack: Golang, Angular 19, Ionic 8, Capacitor, Typescript, Android, iOS, Debian, Linux, Ansible, Quarkus, PostgreSQL, Docker, embedded, C, Python, OpenAI API, Langchain, Langraph, RAG, LoRa, Agents, LlamaIndex, Weaviate, Chroma, Ollama, LM Studio, mlx-lm, 433 MHz, Bluetooth Stack, Bluetooth, BLE, IR, nRF52840, ARM, Authelia, Authentik, Traefik, Nordic, n8n, Mailcow, Nextcloud, Pocketbase

Defining and implementing an efficient, scalable backend microservices infrastructure for a AR/VR solution. Enable AR/VR clients to connect to the backend infrastructure including 3rd party APIs. Analyzing/driving requirements and implementing the respective backend features. Preparing the setup for a planned Kubernetes-based deployment.

Integrating a complex WebRTC microservice to provide real-time audio, video and data connectivity for a significant number of users. Connecting Unity clients with the WebRTC system. Defining and implementing additional microservices to manage users, VR related content, system notifications. Implementing various data translation/marshalling logic. Setting up a complete observability platform managing logs, traces and KPIs/metrics.

Exploring options for a variety of use cases including the usage of AI Agents, LLM models and NLP solutions. Pushing things forward with the small and young team and providing know-how transfer.

Main tech gear: Golang, WebRTC, Livekit, Pion, PostgreSQL, Docker, docker-compose, Kubernetes, Rancher, Azure, Grafana, Prometheus, Jaeger, OpenTelemetry, Unity, Meta Quest (Pro), NATS, Typescript, Angular

Defining and building up a live streaming platform for concerts, conferences, group chat sessions with a self-contained ticketing system (backend, microservices and frontend).
Integrating a file/chat/collaboration system and payment backbone.
Realtime data analysis for trending topics. Setting up a scalable infrastructure. Defining and managing the UX/UI Implementation generating wireframes, user stories. Steering an offshore developer team in India for the implementation of the defined UX (Angular) and implementing parts of the backend. Connecting microservices via secure communication channels. Defining/implementing the DevOps related setup.
Implementing a WebRTC-based video/audio/data system for 1:1, 1:many, many:many. Scalable Proxy-Frontend with Traefik and Keycloak to secure API endpoints, provide necessary certificates and implement forward-authentication/authorization. Multiple ways of connectivity between frontend, other clients and the backend via REST, gRPC and GraphQL. Integrating external services for video streaming, collaboration, file sharing Implementing a video streaming pipeline with machine learning for additional services.

Working with spatial databases

Using Quarkus for the backend (migrating from nest.js
Ionic 7 for mobile apps
Angular 17 for general UI



Key Technologies:
Microservices, REST APIs, node.js, NestJS, Docker, Kubernetes, Nextcloud, Jitsi, Ovenmediaengine, Wowza, Kurento, OpenCV, BigBlueButton, Machine Learning tools like Keras, Tensorflow2, Traefik, Keycloak, Prometheus, Grafana, MongoDB, AWS, S3, EC2, Root Server, Ubuntu, Scripting, Python, nginx, Adyen Payment API, RabbitMQ, ONVIF, rtsp, rtp, Deepstream, gstreamer, gRPC, GraphQL, REST, rtsp, rtp, Video Streaming, WebRTC, SIP, SDP, TURN, NAT, SignalWire, Asterisk, WASM. Sketch, Figma, OmniGraffle, Axure RP. Postgis, Postgres, Quarkus

Lead the design and development of an industrial real-time video analysis infrastructure for a Gigafactory/Battery project with the main target advanced and flexible manufacturing video analytics.
Pushed the implementation of Proof of Concepts (PoCs) for core software components, serving as foundational blueprints for the development team and ensuring alignment with project specifications. Implementing many PoCs/Modules as "hands-on" Architect myself and then handed over to the team.
Directed a global remote development team, driving collaboration and knowledge sharing across borders to drive the project towards success.
Engaged with a wide array of internal stakeholders to gather requirements, refine project objectives, and develop a comprehensive system architecture that addressed key business needs.
Produced extensive documentation, including system designs, Jira epics, and task outlines, facilitating clear communication and efficient workflow within the development team. Led the deployment phases with a focus on end-to-end (E2E) testing, ensuring the system’s reliability and performance met high standards.
"Hands-On" developed and demonstrated versatile use case implementations in Golang and Java (Quarkus), focusing on monitoring, data storage (S3, MinIO, SeaweedFS), and event streaming (Kafka) to guide the team’s development efforts.
Conducted in-depth analysis of cutting-edge machine learning technologies, including convolutional neural networks (CNNs), visual transformers, and localized natural language processing (LLMs), to explore potential enhancements for the video analysis capabilities.
Defining and implementing the "Observability" platform using Prometheus, AlertManager, CAdvisor, Grafana, Jaeger, OpenTelemetry, fluent-bit.

Tech Stack: Kafka, Jaeger, Open Telemetry (OTel) ,Prometheus, Grafana, PostgreSQL, MinIO, SeaweedFS, Quarkus, sFTPgo, Java, Python, Golang, Docker, AWS, Machine Learning, OpenCV

Worked with a Language Model (LLM) infrastructure, initially created in 2023, transitioning from proprietary OpenAI APIs to a variety of open-source LLM frameworks with the goal to interpret and analyze a large number of scanned and PDF documents for a specific domain.

Defining the architecture, implemented and integrated some document reader modules and autonomous agents, leveraging the capabilities of the LangChain framework to enhance functionality.

Implemented and refined relevance and generative adversarial network (RAG) schemes, improving the system's interpretative and responsive capabilities.

Conducted a assessment of multiple vector databases, identifying optimal solutions for efficient data indexing and retrieval to support sophisticated language models.

Defined and implemented the end-to-end architecture for real-time video and data streaming. The solution was optimized for an autonomous robotic system in the consumer market, enabling advanced automation in smart home environments.
Helping to integrate the resulting solution within BSH's existing HomeConnect cloud ecosystem, leveraging the platform to extend the system's capabilities.

Implemented multiple Proof of Concepts (PoCs), each targeting distinct real-time video and data streaming scenarios, setting the stage for a flexible, multi-use architecture. Working on the full-stack development of a WebRTC-based communication layer, enabling real-time interaction between the robotic system and the end-user interface.

Defined the scope and architecture for and implemented a TypeScript-based WebRTC client for automatic system testing, alongside a Golang/gstreamer powered edge device client for streamlined operations. Added a real-time remote control data channel, coupled with a highly flexible command and control structure, ensuring precise and safe manipulation of the robotic unit.

Defined and applied a comprehensive suite of metrics and key performance indicators (KPIs), providing a framework for continuous system evaluation and improvement. Developed a suite of flexible diagnostic tools aimed at analyzing video quality, ensuring the highest standards were met for user experience.

Delivered a strategic approach to incorporating potential machine learning techniques, defining requirements to advance the system's decision-making and predictive capabilities. Leading the development team based in India, managing project deliverables, timelines, and ensuring the adherence to quality and technical standards.

MQTT/Kafka, Docker, Quarkus, Prometheus, Grafana, PostgreSQL, Cassandra, WebRTC, Nvidia CUDA, Tensorflow, Angular 12+ UI, Ionic mobile apps, Test Tools, Jira, Confluence, RPi, Jetson Nano, Qualcomm CPUs, Pion, Livekit, embedded hardware, Sensors&Actuators, ROS2, AWS DeepRacer, Go/Golang, Typescript, Shell Scripts. OpenTelemetry (OTel), Grafana, Prometheus

Tech Stack:

• MQTT/Kafka
• Docker
• Quarkus
• Prometheus
• Grafana
• PostgreSQL
• WebRTC
• Nvidia CUDA
• Tensorflow
• Angular 12+ UI
• Ionic mobile apps
• Test Tools
• Jira
• Confluence
• RPi
• Jetson Nano
• Qualcomm CPUs
• WebRTC
• Pion
• Livekit
• embedded hardware
• Sensors&Actuators
• ROS2
• AWS DeepRacer
• Go/Golang
• Typescript
• Shell Scripts
• OpenTelemetry

Worked on proposals and creating Proof of Concepts (PoCs) for a comprehensive system monitoring and alerting mechanism for SmartMeter Gateway (SmGW) applications. Served as the main technical point of contact for multiple development teams, guiding system analysis, outlining future steps, and transitioning systems to updated technologies.
Analyzed the processing and management of IoT-related data, including measurements and events, to enhance data handling efficiencies within the electrical grid marketplace.

Evaluated standard data flow scenarios within the electrical grid to optimize the performance and reliability of SmGW use cases. Implemented a complete Monitoring/Observability solution including connecting data feeds, Elasticsearch databases, followed by data normalisation and local database support for better Dashboard performance.

• Java, Spring Boot, Actuator, Custom Metrics, Micrometer
• Prometheus, Grafana, Dashboard/Panel Programming, Telegraf
• OpenTelemetry
• TICK Stack
• Cucumber, Cypress, TDD
• Kafka, InfluxDB, Postgres, TimescaleDB, Data Streaming
• Data Warehouse, Data Spaces, Big Data
• Kubernetes, Istio, Docker, docker-compose
• Testing, Logging, Monitoring,
• JSON, Edifact Data Objects
• Angular, Micro-Frontends
• Quarkus
• Graylog, Instana
• Sonarcube, Fortify
• Whitesource
• fluentd, fluentd bit
• OpenTelemetry
• Loki
• IoT
• MSCONs
• TAF (Tarifanwendungsfälle)

Worked on the design and implementation of one of the world’s first intelligent Wallbox systems for electric vehicles (EVs), focusing on an intelligent scheme for bi-directional energy distribution. Covering end-to-end project tasks, from concept to implementation, creating a scalable environment for Wallbox pooling systems. Built proof of concept (PoC) models and evolved them into a fully functional demo, enabling the team to conduct initial test deployments.

Orchestrated stakeholder meetings, aligning multiple companies and development teams to ensure project cohesiveness and goal alignment. Analyzed and mapped data flow scenarios within the electrical grid marketplace to optimize the energy distribution logic for battery electric vehicles (BEVs).

Finalized the project with the delivery of a Minimum Viable Product (MVP), seamlessly transitioning the system for partner integration and field deployment. Demonstrated expertise in system architecture, delivering a robust solution capable of supporting future expansions and integrations.

• Kafka
• Docker
• Kubernetes
• MQTT
• Spring Boot
• Quarkus
• Prometheus
• Grafana
• Azure
• InfluxDB
• IEC 101/104
• NestJS
• Test Tools

Project Description:
Connecting the API Endpoint for mobile clients with a range of backend APIs of various Services.
Key Technologies: REST APIs, node.js, KOA, Typescript, Docker, Kubernetes

Leading the development of a comprehensive technical infrastructure for a global music marketing portal, facilitating both digital and physical distribution. Managed the entire IT framework, enhancing the portal's aesthetics, functionality, and security, while ensuring robust cloud computing and ecommerce capabilities.
Implemented RESTful interfaces, JSON, open APIs, and XML for seamless interactions with music labels and online stores.
Automated the ecommerce processes, streamlining operations and improving user experience. Defining and implementing content management strategies, including cloud storage solutions and backup systems, to handle vast content volumes efficiently.  Working and various legal intricacies, including international tax strategies, and compiling investor documentation to secure and maintain project funding.
Directed comprehensive project management activities for a diverse international team, consisting of developers and designers, ensuring coherent collaboration and timely delivery of project milestones. Driving the transition from the initial monolithic architecture to a more modern microservices approach, increasing the system's scalability and maintainability.
Designed and implemented mobile applications for Android and an Ionic-based media player for enhanced mobile access, catering to the platform's expanding mobile user base.

Key Technologies:
Grails, Groovy, XML, JSON, REST, Java, Spring, Hibernate, MySQL, MongoDB, Linux, Tomcat, JavaScript,
Angular, node.js, RabbitMQ, Kafka, Spark, CSS, HTML5, Touch Interfaces, mobile and online payment
systems, mass data cloud computing, data security, vendor API programming, WordPress API, Android,
iOS, Tablet Systems, Media Converters, Music Fingerprinting, Apache POI, WAV, FLAC, MP3, pub, micro
formats, Red Book, Microservices.
Cloud services (Amazon S3, Google, IBM etc.), implementation of a custom media distribution
infrastructure for fast and secure media transcoding (FLAC, WAV, MP3, encryption) and distribution
based on a universal cloud storage layer. Open Source Cloud Storage Solutions. Legal aspects of
media distribution. Intellij Idea/Android Studio/WebStorm.
This project is in working mode - I am CTO/Co-Founder of this running entity without a significant
workload.
A spin-off company is currently in the buildup-phase

Working as a Senior Technical Architect overseeing numerous projects focused on the integration and analysis of systems in Smart Cities, Smart Sensors, IoT, and traffic signaling/prediction. Developed software architectures to facilitate the connectivity of external systems with Siemens Concert/Sitraffic systems, ensuring smooth data interchange and system functionality.

Defined the architecturee of a scalable Data Space environment based on microservices for a new IoT infrastructure, enhancing the big data analysis capabilities. Defined ontologies for data objects and strategies for metadata enrichment during the data ingestion process, contributing to more refined data analytics.

Created a secure, data-driven flow system to ensure data integrity and privacy across all channels. Designed and deployed Kafka Stream/Connect components to handle high-throughput data processing, providing robustness and reliability.
Executed several proof of concept (PoC) variations for the Data Broker component.

Defined communication protocols for Center-to-Center interactions, playing a crucial role in international traffic management initiatives. Transitioned Hadoop-based PoCs to a more agile and efficient Presto SQL solution concept, optimizing for real-time data processing. Maintained a regular schedule of code reviews and daily discussions with the development teams, addressing a wide spectrum of technical challenges and ensuring best practices.

Managed two offshore development teams based in Pune, India, overseeing system architecture decisions, framework selection, and code review processes, supplemented by face-to-face workshops to enhance team collaboration.

Key Technologies:
REST APIs, Spring Boot, Spring Security, SOAP, ActiveMQ, Kafka, Spark, Pulsar, OpenWhisk, Juno,
Micronaut, GIS Technologies, Data Spaces, Ontologies, DevOps topics, ELK, Monitoring, node.js,
JavaScript, Typescript, Java, Prometheus, Kibana, Traefik, Wireshark, SNMP, OCIT, Docker,
Kubernetes, AWS, Cloud, protobuf/gRPC, Cassandra, MongoDB, Aerospike, Min.IO, Presto, Hive, IoT,
international traffic control standards like TMDD or NTCIP, Interface-Technologies, AimSun,
Vaisalla, various related technologies. IoT and Sensors. ONVIF connectivity

Worked on the architectural design and implementation of the backend infrastructure for an advanced security camera system.

Developed a robust backend server to handle data management and ensure high levels of system security, with seamless cloud connectivity for storage and accessibility.
Leveraged deep learning technologies to empower the system with sophisticated video analysis capabilities, enabling the detection and analysis of security footage with greater accuracy and efficiency.

Defined multiple use cases and implemented them, utilizing deep learning models to process and interpret video data from ONVIF-compatible cameras, thereby enhancing the surveillance system's intelligence and responsiveness.


Key Technologies:
REST APIs, protobuf, gRPC, node.js, Nest.JS, AWS, MongoDB, Tensorflow, Keras, Python, Typescript,
Docker, Kubernetes, System Monitoring, Prometheus, RPi, Nvidia Jetson Nano, ESP32, embedded Linux, IoT, 
IoT, Linux. ONVIF.

Managed the evaluation and planning for a novel software platform leveraging embedded Linux, focused on delivering a seamless, multimodal user experience (UX).

Worked on the initial concept and actual integration of multiple Angular applications within a unified Document Object Model (DOM) tree, simplifying the application architecture while maintaining functionality and performance. Implemented the platform's proof of concept (PoC), validating the smooth operation of integrated applications and setting a precedent for future development stages.
Working on a preliminary analysis of natural language processing (NLP) applications, assessing their potential to enhance user interaction within the platform.
Pushing research and development (R&D) initiatives, probing into emergent technologies to forecast their applicability and benefit to the product line.
Investigated the utilization of the Ionic framework for micro-frontend solutions, aiming to optimize front-end scalability and modularity across diverse devices and platform.


Key Technologies:
REST APIs, Angular 7, angular-cli, node.js, reactive, single-spa, Service Registry/Discovery,
Javascript, RxJS, NgRX, Akita, Maven, CI, Webpack, UI, UX, WebRTC, Machine Learning/Deep
Learning/KI, embedded Linux, Yocto, node.js, Grails/Groovy, NLP, Tensorflow, Keras, Tensorboard,
GANs, Tensorflow.js, Python, Jupyter Notebooks, Blockchain based security.

Defining the migration process and all needed UI/UX components for an existing "in train" portal to
current technologies (frontend). Implementing the migration tools, setting up the new system.
Implementing the new ICE portal based on the defined structure and Angular 6/7 from scratch based on
the rules of Atomic Design. Defining UE atoms, molecules, organisms. Implementing business logic in
TypeScript.

Key Technologies: REST APIs, Angular6/7, angular-cli, node.js, reactive JavaScript, RxJS, NgRX, Akita, Maven, CI,
Webpack, UI, UX, Atomic Design.

Conducted a comprehensive market analysis to assess emerging trends and technologies in the Home Appliance and SmartHome sectors, informing BSH's strategic direction in IoT and connectivity. As a result driving the integration of internal projects between BSH and Bosch, fostering enhanced collaboration and exchange of technology insights.

Defining and implementing of proof of concept (PoC) solutions employing machine learning, deep learning, and natural language processing (NLP) to advance home automation.
Collaborated with BOSCH Corporate Research teams in Renningen and Sunnyvale (USA) to refine NLP tools and establish an abstraction layer for intelligent device communication.

Worked on a concept and guidelines for content format creation within the company, geared towards nurturing a community-driven approach to content engagement.
As a result conceptualized a potential content management system (CMS) tailored for connected device ecosystems, ensuring seamless content delivery and interaction.

Explored and integrated additional functionalities such as gesture recognition into SmartHome products, enhancing the user experience. Demonstrated and architected advanced browser-based applications and novel UX methodologies for embedded systems, leveraging Angular and Qt 5.

Abstracted natural language input/output processes, integrating cutting-edge machine learning and NLP techniques to refine user-device interactions. Formulated a robust CMS architecture and an end-to-end ecosystem, capable of supporting the diverse needs of SmartHome solutions.

Organized and led workshops to disseminate knowledge, establish common ground for various technical topics, and encourage the practical application of machine learning and NLP in product development.

Key Technologies:
Embedded Linux, IoT, Build systems, Market Research, Zephyr, Node.red, Node.js, HomeConnect,
AllSeen/AllJoyn, OpenHab, Iotivity, HomeKit, Android, iOS, NLP Technologies, (Chat)Bot Technologies,
Connected Devices, Cloud Environments, Security, Arduino, Raspberry Pi, IFTTT, SmartThings, KNX,
HomeKit, OCF, Lora, Yocto, RiOT, FreeRTOS, OSTRO, Linaro, Soletta, Hybrid Apps, Embedded Chromium
(cef), embedded Linux, AngularJS, node.js, Tizen, AGL (Automotive Grade Linux), IoT, Sensors, Genivi, Yocto,
UX/UE, Amazon Alexa, Google Assistant, Dialogflow, MyCroft, RASA. Crank Software, embedded Wizard,
touchGFX, QT. Machine/Deep Learning, Movidius, TensorFlow, Keras, Anaconda, CUDA, Movidius.
Switched from fulltime to half-time from 1.7.18.

Project Description: Implementing a new native Android app for an industrial customer. Optimizing the UE flow.
Key Technologies: REST API, native Android, UI, UX, Room/SQlite database, RxJava, DB sync., Google Maps.

Performed a wide, holistic analysis of existing platforms to craft strategic roadmaps, delineating the progression path for next-generation connected devices.

Formulated and validated various proof-of-concept (PoC) models, which served as the cornerstone for the design and architecture of connected devices, steering the project toward innovative solutions.
Defined and implemented the system design and architecture for connected devices, ensuring seamless integration within SmartHome ecosystems and advanced language processing frameworks.

Assessed various embedded Linux environments, including Tizen, AGL, Genivi, and MEL, to identify optimal platforms for device operations. Defined a suite of content formats tailored for internal and community engagement, enhancing the collaborative content creation process.

Designed a versatile content management system (CMS) suitable for a connected device setting, facilitating content dissemination and user interaction. Analyzed and integrated NLP and speech control add-ons, enriching the device's interactive capabilities.

Showcased and structured browser-based application technologies using AngularJS and Qt 5, tailored for embedded solutions, thereby optimizing user interface efficiency. Specified upcoming use cases, drawing a clear roadmap for future application development and user engagement strategies.

Abstracted natural language input/output to streamline device communication, deploying machine learning and NLP methods to simplify user-device interactions.

Conducted evaluations of GUI frameworks suitable for entry-level embedded systems, aiming to enhance the user experience while maintaining system simplicity.
Proposed comprehensive system architectures for app ecosystems and frameworks, ensuring their cohesion with the integrated SmartHome environment.

Managed workshops, encouraged hands-on PoC development, and fostered a community of sharing and collaboration among stakeholders and technical teams.


Key Technologies:
Embedded Linux, IoT, Build systems, Market Research, Zephyr, Node.red, Node.js, HomeConnect,
AllSeen/AllJoyn, OpenHab, Iotivity, HomeKit, Android, iOS, NLP Technologies, (Chat)Bot Technologies,
Connected Devices, Cloud Environments, Security, Arduino, Raspberry Pi, IFTTT, SmartThings, KNX,
HomeKit, OCF, Lora, Yocto, RiOT, FreeRTOS, OSTRO, Linaro, Soletta, Hybrid Apps, Embedded Chromium
(cef), embedded Linux, AngularJS, node.js, Tizen, AGL (Automotive Grade Linux), Genivi, Yocto,
UX/UE, Amazon Alexa, Google Home. Crank Software, embedded Wizard, touchGFX, Qt

Project Description:
Architecting and implementing a use case for connected cars.
As the result the car brand will receive a mobile app (iOS, Android), a complete Amazon Alexa app, a
node.js driven backend and a big data analytic engine.
The project has ended and is sold.

Key Technologies: Amazon Alexa, PSA API, Node.js, AngularJS, Ionic, Strongloop, Kafka, Spark, MongoDB

As Co-Founder and CTO played a pivotal role in outlining the scope, defining use cases, and architecting the foundational structure for a startup specializing in location and context-based services for targeted mobile advertising. Directed the development of client-side and all server-side components, including a dynamic dashboard for real-time data monitoring and management.

Deployed in-house location-based and sensor services optimized for energy efficiency, ensuring robust performance for mobile applications. Established a robust big data analysis system designed to manage key performance indicators (KPIs) and intelligent ad targeting scenarios, enhancing the effectiveness of marketing efforts.

Created and launched a custom, scalable, cloud-based push notification service as a major enabler alongside a comprehensive big data analytics infrastructure, to allow for timely and relevant user engagement. Developed the database architecture for both client and server environments, ensuring data integrity and seamless flow between systems.
Implemented the Android Software Development Kit (SDK) and developed Android applications, complemented by an AngularJS-based dashboard and a Grails-based RESTful API, providing a full-stack solution.

Assessed various browser runtime solutions, such as Cordova and Ionic, for their capability to handle background processing tasks effectively. Led and coordinated efforts of a geographically dispersed development team, overseeing multiple sites and ensuring a cohesive development strategy across on-site and offshore units.

Key Technologies:
Android, iOS, Javascript, HTML5, AngularJS, gulp, node.js, grunt, bower, Yeoman, Cordova/Ionic,
Java/Groovy, Grails Backend, Mysql/MongoDB, Hadoop, Cassandra, Aerospike, Apache Spark, Apache
Kafka, RESTful API, Wireframes, User Stories, CSS, Touch Interfaces, Touch UE Design, iBeacon, BLE,
WLAN, Bluetooth, Sensors, NFC, ARM, embedded Linux. RxJava on Android, Google Play Services, native
Android, statistics. Various Cloud environments and Push services, Intellij Idea. WebStorm and
Android Studio. Jira, Confluence, Stash, BitBucket. IoT and Sensors.

Extending/finalizing an Android app for an in-car Entertainment solution.

Key Technologies:
Android, Media streaming, Background Services, XML, Notifications, Power Management.
Tablet/Smartphone layout rewrites, adaptations and optimizations. Device specific fixes. Custom
Theming. Wireframes. IntelliJ Idea, git, embedded.

Project Description:
Developing and implementing the touch UE for an industrial system based on GWT and browser based
technologies. Defining and building up the general System Architecture for the Client, Documentation
based an message events, custom UI Widgets and WebSocket communications.
Managing the UI definition process (System analysis, defining Requirements, producing the
Wireframes, briefing visual design teams, refining wireframes and visuals, implementing final visual
design).

Key Technologies:
Javascript, jQuery, jQuery Mobile, HTML5, GWT, Java, Wireframes, CSS, less (CSS), Twitter Bootstrap,
Touch Interfaces, Touch UE Design, Webfonts, Webkit, Node.js, Web Sockets. IntelliJ Idea, WebStorm.
Demo can be seen here: http://pmxdemo.hbm.com

Developing the future architecture for a platform-independent mobile application suite. Taking over
the further development of an existing Android system analysis application. Customizing this
application. Extending a market research application, which gathers all the available information
about activities on the phone of Market research Panel users for market research analysis.

Key Technologies:

Android, Android framework, Client/Server, Javascript, jQuery, jQuery Mobile, HTML5, Python, GWT,
Java, Wireframes, CSS, Touch Interfaces. Intellij Idea/Android Studio.

Project Description:
Technical consultancy and workshops regarding Android, general mobile platforms, appstores and
browser based applications. Discussing and developing solutions with the Scrum team.
VoIP feasibility study based on native applications and browser based frameworks.

Key Technologies: WebKit, Javascript, Android, GWT, jQuery, CSS, HTML4, HTML5

Project Description:
Designing a new VoIP-based communication suite for Android handsets based on LTE (transport) and IMS
(media session management) as the lead system design architect (technical project management).
Defining the system design for the application CPU (not the transport layer) including RIL and the
general app design (wireframes, technical architecture etc.) for VoIP and Video calls.
Integrating into Android address book and other native apps. Android, Java, C, LTE, IMS, Radio, RIL,
Android telephony, UX (User Experience). Working in an international and mixed Agile/Scrum vs.
classic Waterfall environment.
This project has migrated to VoLTE on IMS.

Key Technologies: Android, RIL, Linux, Codecs, LTE, IMS, Wireframes, GWT, Modem, Scrum. Intellij Idea/Android Studio.

Project Description:
Driving the OMTP BONDI standard for browser based applications. Defining new requirements and
specifications for BONDI APIs. Driving native ports. Implementing selected APIs. Defining technical
architectures for potential ports. Face2 Face meetings, phone conferences.

Key Technologies: WebKit, Javascript, Android, Windows Mobile, Symbian, Javascript, C, C++, Java, BONDI, JIL, WAC,
HTML 4/5, W3C

Developing a completely new browser based application framework including the UE concept for
platform independent browser based applications. Definition of a mobile platform, all interfaces to
a real mobile platform (LTE, EMP), inter application communication, fundamental Widgets and User
Experience. Definition of important use cases for proof-of-concept work. WebKit work.
Implementation under various platforms including Android.

Key Technologies: WebKit, GWT, jQuery, EMP, Java, Javascript, Prototype, Android, OpenMoko, OMAP, mobile Linux etc.
Intellij Idea

Ericsson Prototype Unit (Nuremberg)

Project Description:
Developing and improving of a prototype design for multimedia services as part of the Ericsson
Mobile Platform (EMP). Integration of the prototype description and design into existing platforms.
Developing new services based on SIP/IMS-Frameworks and EMP (Audio, Video, Text Messaging, File
Transfer, Whiteboarding). Testing. Integration of the new services into the platform as well as
other applications. System design, System architecture, International standard requirements.
Defining the complete UE (GUI/User Experience) of the new application suite including wireframes,
screens (managing external graphics department) and defining the system requirements along the way.
Concepts for future applications based on LTE/WiMax/HSPAe
Concepts for new UE based on browser based applications, mobile Linux

Key Technologies:
Eclipse, C. C++, Lauterbach Trace, diverse Platform-Tools, Visio, MS Office, MS Project, diverse
Emulatoren. Standards: SIP, RTP, IMS, RSVP, SAP, SDP, MSRP, Asterisk, MobileTV,
Mobile Linux, Android, Webkit

Developing, adapting and optimizing of UI flows for a "Streaming Music"-application for mobile
devices and desktop PCs. Improving the existing infrastructure based on the user experience view.
Useability Tests, Analyzing the UE.

Developing a new solution for Podcasts, Download-Manager etc. Analyzing potential AJAX
implementations.

Key Technologies:
Visio, Symbian Tools, MS Office, MS Project, Photoshop, Emulators, Storage and general content
delivery network (CDN) solutions from Akamei etc.

Vodafone Global, Duesseldorf

User Experience Manager for a large international mobile operator.
Organisation/Management/Optimisation/Implementing of menu structures, the Look&Feel etc. based on
the operator specifications for mobile devices. Managing devices from different vendors.
Practical solutions and implementation of new services. Organisation and managing/running of device
tests, fault reports/calls.
Application Flows, Adaption, Project management, Industrial Design. GUI Design and Optimisation.
GUI/HMI/CHI Interface Design, Implementing, Consulting, Mockups.
This project includes services like MobileTV, streaming Music, PTT, IM.
Additional activities like technical presentations covering mobile system platforms or explaining
upcoming trends in the mobile industry.

Key Technologies: Office Tools, MS Project, Visio, div. Tools for mobile Applications