Schlagwörter
Skills
1) Team Leadership
2) Cloud Solutions
3) Data Science Products
4) DevOps Development
5) SCRUM
Key Areas as Solution Architect
1) Data Platforms / Enterprise Knowledge Graphs
2) Cloud-Based Data Products
3) Cloud-based Solutions
Key Areas as DevOps Engineer
1) CI CD pipelines with ArgoCD
2) Firebase, GCP, AWS
3) Python FastAPI
4) Kubernetes
Key areas as Innovation Manager:
1) Innovation Portfolio Management
3) Incubation Projects
List of Skills
- Agile Project Management
- Algorithm Development
- AI Services
- ArgoCD
- AWS Neptune
- Collaborative Leadership
- CI/CD
- Confluence
- Data Analytics Services
- Data Products
- DevOps
- Digital Business Development
- Digital Industrial Services
- Docker
- FastAPI
- Firebase
- GCP
- GitLab
- Innovation Management
- Industrial IoT Services
- JIRA
- Knowledge Graph
- Kubernetes
- Machine Learning Products
- NLP Natural Language Processing
- Ontology
- Product Management
- Product Owner (PSPO I Certified)
- Product Incubation
- Product Portfolio Management
- Predictive Maintenance Services
- Predictive Analytics
- Python
- SCRUM
- Semantic Search
- Semantic Recommendations
- Software Development
- Team Leadership
- Team Development
- Terraform
Projekthistorie
- In this project I am responsible for two Squads which build an Infrastructure-as-Code solution for the automatic and self-service driven provisioning of cloud accounts, IAM, and the appropriate network settings.
- Furthermore, we are responsible for the operations of the accounts, incident- and escalation management for customers
- PI Planning, Monitoring, Delivery, and Stakeholder Management
- Backlog Priorization and Operation Support
- Implementing Agile Leadership
- Managing a major refactoring of the underlying product into a new cloud platform model
- Two Squads consisting of Teach Leads, Architects, DevOps Engineers, Customer Engineers
- Embedded in a Tribe with multiple neighboring Squads
Skills: Team Leadership · Terraform · Collaborative Leadership · Agile Leadership · Infrastructure as code (IaC) · Stakeholder Management · SAFE · DevOps · Amazon Web Services (AWS) · Microsoft Azure · Operations Management · Customer Engineering · Leadership · Scrum · SCRUM Product Owner · Networking Infrastructure · Virtual Private Cloud (VPC) · Crossplane · Operations · Customer Engineering
Description:
- The product is a data platform as knowledge graph and a content exploration app.
- The core of this data platform is to centrally provide a semantic data layer of high quality for recommender systems and smart search algorithms.
- The full-stack web app development is done with Angular and FastAPI.
- The solution consists of numerous machine learning microservices, an ETL pipeline on GCP, BigQuery as DWH, and AWS Neptune as knowledge graph.
- The multi-cloud setup consists of Kubernetes, Pub/Sub, BigQuery, GitLab CI/CD, ArgoCD, Terraform, AWS Neptune, and Azure OpenAI Services
Contribution:
- Project started, and Knowledge Graph released under my leadership.
- As Data & DevOps Engineer developed CI/CD pipelines, micro-services, and Kubernetes deployments.
Key Words: SCRUM, Data Science, Data Engineering, Machine Learning, Knowledge Graph, Graph Embeddings, Natural Language Processing, GPT-3, Ontology, Google Cloud, Kubernetes, Pub/Sub, Streaming, DataFlow, DevOps, Argo CD, GitLab CI/CD, Solution Architecture, ETL Architecture, Terraform, Infrastructure-as-Code, Firebase Authentication, AWS Neptune, AWS IAM, AWS STS, Python, Jupyter
Description:
- Service to detect and predict machine failures and required maintenance for stagger cranes in logistic centers
- Technically the solution was based on anomaly detection algorithms.
- The software architecture was a hybrid cloud- and edge computing solution.
- Project started, and first product release prepared under my leadership.
Key Words: SCRUM, Jira, Confluence, Machine Learning, Anomaly Detection, Edge Computing, Cloud Computing, IIoT, Kubernetes, Docker, Grafana, NATS, DevOps, StartUp, Python, C++, Jupyter, GitLab
Description:
- Internal tool for forecasting product demands over the next five years at the end of the product lifecycle (Phase-Out-Planning).
- Target users are the responsible spare part managers.
Contribution:
- Project started, and first product released under my leadership.
Key Words: SCRUM, JIRA, Confluence, Data Analytics, Machine Learning, SAP HANA, Tableau, AWS, Python, Jupyter, GitLab
- Built an end-to-end innovation process for a fast evaluation of innovation ideas.
- Developed a validated innovation project portfolio which systematically covered horizon 2.
- Digital strategy development
- Created innovation culture, e.g., by coaching of all innovation project teams
Description:
- Plugin in SimCenter for reducing the size of large FEM models.
- The goal was to enable real-time computations for physics-based Digital Twins, which run in parallel to operations of electric motors.
- Based on these Digital Twins live-monitoring and predictive maintenance solutions were built.
Contribution:
- Project started, and first product released under my project leadership.
- Algorithm and Plugin developer in C++ and Python
- Algorithms: Krylov-based model order reduction, Proper-orthogonal decomposition (POD), Auto-Encoders
Key Words: SCRUM, Digital Twins, Simulation Tools, Algorithms, Finite-Element Methods, and Web Apps, C/C++, Python, Java, JavaScript, Bash, SimCenter
Description:
- New Filters and Algorithms for Topology Optimization
- The goal was to add new features to the SimCenter Topology Optimizer.
Contribution:
- Project started, and new algorithms developed under my leadership.
- Algorithm developer in C++ and Fortran
- Development of non-linear thermodynamical mathematical model
- Development of algorithms for ionic fluids
Kez Words: Software Development, Algorithms, Data Science, Agile Methoden, Mathematical Modeling, Research and Development (R&D), Mentoring, Teaching, Ionic fluids, Nonlinear Thermodynamics
Reisebereitschaft
- Remote: preferred way of working
- On-Site: I can travel within D-A-CH regularly for one night per week
- On-Site: Scheduled on-site weeks are possible, too.