28.05.2026 aktualisiert

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Artificial Intelligence Engineer

Munich, Deutschland
Weltweit
M.Sc. Applied Computer Science, Heidelberg
Munich, Deutschland
Weltweit
M.Sc. Applied Computer Science, Heidelberg

Profilanlagen

Cloud_Deck_Germany_BD.pdf
BST_Goldie_Sehgal.pdf

Skills

AI AgentsRAGGenAILLMOpenAILangChainJavaAPIsAgile MethodologieKünstliche IntelligenzApache TomcatAutonome SystemeMicrosoft AzureEntscheidungsbaum LernenCloud-EngineeringCode-ReviewDatenbank-SuchmaschineDebuggingDevOpsEnterprise Architecture FrameworkSEOIBM CloudInformationsarchitekturInformationsbeschaffungInformation RetrievalPythonPostgreSQLMachine LearningApache MavenAzure SQLMongoDBNode.jsOpenShiftRohrleitungsplanungPredictive AnalyticsRedisTensorFlowAzure Machine LearningSAP CRMSoapuiSolution ArchitectureAutonome FahrzeugePostmanPyTorchReact.jsFlaskSpring BootGenerative AIFilenet P8KerasGitpandasAngularJSScikit-learnKubernetesAWS Data AnalyticsApache KafkaSuchmaschinenMachine Learning OperationsKontinuierliche OptimierungRestful ApisTerraformAzure Data AnalyticsArtificial Intelligence Markup Language (AIML)DockerJenkins
Enterprise Architecture & Digital Transformation
Enterprise Architecture, Solution Architecture, Cloud Modernization, Digital Transformation, Distributed Systems, Greenfield & Brownfield Modernization, FinOps
Cloud, DevOps & Infrastructure
AWS, Azure, Kubernetes, Docker, Terraform, OpenShift, CI/CD, Infrastructure Automation, Observability
Programming & Enterprise Development
Java, Python, Node.js, Spring Boot, Microservices, REST APIs, Enterprise Integration
GenAI & AI Engineering
GenAI, LLMOps, RAG, AI Governance, AI Agents, Conversational AI
Data, Messaging & Integration
PostgreSQL, MongoDB, Redis, Kafka, Event-Driven Architecture, API Security
Enterprise Platforms & Banking Technologies
AEM, IBM BPM, Open Banking APIs, Trading Systems, Order Management Systems
Cloud & Infrastructure
AWS (EKS, ECS, Lambda, API Gateway, RDS, CloudWatch, IAM, VPC), Azure, Kubernetes, Docker, OpenShift, Terraform
Development Frameworks
Spring Boot, Spring Framework, Flask, React, AngularJS
GenAI & AI Platforms
OpenAI, Amazon Bedrock, LangChain, DialogFlow, AWS Lex
API & Integration
IBM API Connect, IBM DataPower, IBM ESB, Consul, Kafka
Databases & Caching
PostgreSQL, Oracle, MongoDB, Redis
DevOps & Observability
Jenkins, Maven, Git, SonarQube, Splunk, ELK Stack, AppDynamics
Enterprise Platforms
Adobe Experience Manager (AEM), Salesforce CRM, Microsoft Dynamics CRM, IBM BPM, FileNet
Testing & Quality
JUnit, Postman, SoapUI, JMeter, BrowserStack
Application Servers & Middleware
Apache Tomcat, WebSphere, WebLogic, JBoss

Sprachen

Englischverhandlungssicher

Projekthistorie

Enterprise GenAI & FinOps Platform

Banken und Finanzdienstleistungen

Architected an enterprise-grade GenAI governance and FinOps platform focused on AI observability, compliance, scalability, and optimization for large organizations. The platform integrates RAG pipelines, AI agents, vector databases, and enterprise security guardrails to enable secure and scalable AI adoption.

Key Features:
  1. Enterprise AI Governance & Observability: Designed governance frameworks for AI compliance, observability, usage tracking, and enterprise-wide monitoring to ensure responsible AI adoption and operational transparency.
  2. Multi-Tenant SaaS Architecture: Built scalable cloud-native multi-tenant architecture supporting RAG pipelines, AI agents, vector databases, and enterprise automation workflows for large-scale deployments.
  3. AI Security & Compliance Guardrails: Implemented enterprise AI security controls, governance policies, and compliance frameworks to support secure AI operations and risk mitigation.
  4. Optimization & FinOps Enablement: Developed AI optimization and FinOps capabilities to improve infrastructure utilization, workload efficiency, and cloud cost visibility.
  5. Technology Stack: AWS, Kubernetes, Python, LangChain, OpenAI, Amazon Bedrock, PostgreSQL, Redis, Vector Databases, Docker, Terraform.

Enterprise Cloud Modernization Programs

Internet und Informationstechnologie

Led enterprise cloud transformation and modernization initiatives for Fortune 500 organizations across BFSI and industrial sectors. Defined cloud governance strategies, modernization roadmaps, and resilient cloud-native architectures to accelerate digital transformation.
Key Features:
  1. Cloud Transformation Strategy: Defined enterprise modernization roadmaps covering migration planning, resiliency, governance, scalability, and operational transformation.
  2. Cloud-Native Platform Architecture: Architected scalable microservices-based platforms leveraging AWS, ECS/EKS, Lambda, API Gateway, and event-driven systems.
  3. Enterprise Governance & Observability: Established cloud governance frameworks, observability models, monitoring strategies, and operational best practices for enterprise workloads.
  4. Modern DevOps Enablement: Implemented CI/CD pipelines, infrastructure automation, and cloud operational tooling to improve deployment velocity and reliability.
  5. Technology Stack: AWS, Kubernetes, ECS/EKS, Lambda, API Gateway, Terraform, Spring Boot, Kafka, Jenkins, SonarQube.

AI Pipeline Development - Historical Price Comparison

Developed an app for historical price comparison that analyzes and ranks offers to find the most similar ones. The app shortlists and ranks these offers, providing a comprehensive comparison with price justification based on both prices and the quality of services, helping users make a better-informed choice.

Key Features:
 
  • Historical Document Comparison: Compares documents stored in Azure Cloud Storage using RAG (Retrieval-Augmented Generation) to identify the most similar ones based on content.
  • AI-Powered Ranking: Ranks documents based on qualitative values (e.g., certifications, services offered) and quantitative values (e.g., ranges, prices), factoring in external elements like labor rates and inflation.
  • External Factors Integration: Prices are justified using dynamic data like labor rates and inflation to ensure accurate comparisons.
  • AI-Prompting Pipeline: Utilizes LangChain and AI prompting in LangFlow to create an intelligent document analysis pipeline that can be used across multiple platforms.
  • Scalable Cloud Integration: Leveraging Azure Function App for serverless, scalable document processing and real-time comparisons.

Industrial Manufacturing & Mobility Programs

Industrie und Maschinenbau

Designed and delivered cloud-native enterprise platforms for large industrial manufacturing and mobility organizations across Europe. Led IoT-enabled modernization initiatives focused on logistics, mobility, industrial automation, and scalable digital ecosystems.
Key Features:
  1. Cloud-Native Enterprise Platforms: Designed scalable distributed systems and enterprise platforms using microservices and container orchestration technologies.
  2. IoT & Mobility Transformation: Delivered IoT-driven modernization programs integrating mobility, logistics, telemetry, and industrial operational systems.
  3. Enterprise Integration & Automation: Enabled seamless integration across enterprise systems using event-driven architectures and real-time data processing pipelines.
  4. Scalable Infrastructure & Monitoring: Implemented Kubernetes and OpenShift-based infrastructure with centralized monitoring, observability, and operational governance.
Technology Stack: AWS, Kubernetes, OpenShift, Python

Enterprise Digital Insurance Platform

Internet und Informationstechnologie

Managed enterprise digital architecture for customer-facing B2C insurance platforms. Led chatbot modernization and enterprise integration initiatives to enhance customer engagement, servicing, and digital onboarding experiences.
Key Features:
  1. Digital Customer Engagement: Implemented chatbot and conversational AI solutions using DialogFlow and AWS Lex for customer interaction and self-service journeys.
  2. Enterprise System Integration: Architected integrations across CRM, underwriting, payment systems, and customer servicing platforms to streamline operations.
  3. Scalable Digital Architecture: Designed resilient and scalable digital platform architecture supporting enterprise customer journeys and operational efficiency.
  4. API & Event-Driven Enablement: Leveraged APIs, messaging systems, and distributed services to improve interoperability and platform responsiveness.
  5. Technology Stack: AWS, AEM 6.2, DialogFlow, AWS Lex, MongoDB, ElasticSearch, Kafka, IBM API Connect, DataPower.


Open Banking APIs – Royal Bank of Scotland

Banken und Finanzdienstleistungen

Led architecture and solution design initiatives for Open Banking APIs aligned with UK Open Banking standards. Defined enterprise API strategies, security frameworks, and integration patterns for scalable banking services.
Key Features:
  1. Open Banking API Architecture: Designed enterprise-grade API ecosystems aligned with UK Open Banking compliance and interoperability standards.
  2. Security & IAM Integration: Defined secure authentication, authorization, and identity management strategies integrating Ping IAM and enterprise security controls.
  3. Enterprise Integration & Gateway Strategy: Architected API gateway and middleware strategies enabling scalable and secure enterprise integrations.
  4. Operational Monitoring & Reliability: Established observability, monitoring, and operational governance frameworks for enterprise banking APIs.
  5. Technology Stack: Java, Spring Boot, REST APIs, IBM ESB, Ping IAM, AWS, DB2, AppDynamics, Splunk.

Website Consolidation & Digital Banking Platform – RBS

Internet und Informationstechnologie

Led modernization and consolidation of enterprise digital banking platforms and Single Page Applications to improve customer experience, scalability, and infrastructure efficiency.
Key Features:
  1. Digital Platform Modernization: Defined modernization strategies for enterprise banking applications and customer-facing digital channels.
  2. Single Page Application Enablement: Supported migration and optimization of SPA-based digital experiences for improved responsiveness and usability.
  3. Infrastructure Optimization: Led cloud migration planning, infrastructure optimization, and performance improvement initiatives.
  4. Enterprise Content & Delivery Strategy: Implemented AEM modernization and optimized enterprise content delivery using CDN and API integrations.
  5. Technology Stack: AWS, AEM 6.1, AngularJS, REST APIs, Akamai CDN, DataPower, Oracle, Splunk.

Mortgage Platforms & Enterprise Banking Systems – RBS

Internet und Informationstechnologie

Delivered architecture and modernization initiatives for enterprise mortgage lending and banking systems focused on scalability, operational efficiency, and enterprise process modernization.
Key Features:
  1. Enterprise Banking Modernization: Led modernization of mortgage lending and banking platforms to improve scalability and operational performance.
  2. Workflow & BPM Transformation: Implemented enterprise BPM and workflow orchestration solutions for streamlined banking operations.
  3. Integration & Middleware Enablement: Designed integration frameworks connecting enterprise banking applications, middleware, and backend systems.
  4. Operational Stability & Governance: Improved system governance, resilience, and maintainability across enterprise banking environments.
  5. Technology Stack: Sopra GMS, IBM BPM, WebSphere, DB2, Oracle, DataPower, Java.

Fidelity Investments – Trading Systems & Order Management Platforms

Internet und Informationstechnologie

Worked on enterprise trading systems and Order State Management platforms supporting fixed income markets and high-performance financial transaction processing.
Key Features:
  1. Trading Platform Engineering: Contributed to enterprise-grade trading and order management systems for fixed income market operations.
  2. High-Performance Distributed Systems: Supported scalable transaction processing and low-latency distributed architectures.
  3. Financial Systems Integration: Integrated trading workflows with enterprise messaging systems and market protocols.
  4. Operational Monitoring & Reliability: Assisted in ensuring stability, monitoring, and operational efficiency for mission-critical financial applications.
  5. Technology Stack: Java, JRules, KDB, TIBCO, FIX Protocol, IBM Object Grid.

Zertifikate

Enterprise Architecture

TOGAF 9.1

2024

AWS Certified Security

Amazon Web Services

2023

AWS Certified Advanced Networking

Amazon Web Services

2021

Sun Certified Java Programmer

SCJP 1.4

2020

AWS Certified Solutions Architect

Amazon Webservices

2019

Portfolio

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