Rhein-Neckar Metropolitan Region
With a Master of Science in Computer Science and a strong foundation in business informatics, I combine technical depth with strategic vision to drive digital transformation and cloud-based automation. My experience spans AI architecture, generative models and multi-agent systems, solution engineering, robotics, and applied research, making me exceptionally well-suited for roles such as AI Engineer, Solution Architect, or AI Tech Lead. I have led cross-functional teams in structuring and executing Al projects, from requirements gathering and architectural design to development, deployment, and commercialization, consistently translating complex technology into scalable, enterprise-grade products.
Responsible for GenAI solutions in Azure
- Strategic decisions for agentic and generative AI methods and technologies - Consulting and architectural design for AI platform development - Development Generative AI workflows and connectors with Langchain/Langgraph realizing various use cases with model contect protocol - Automated analysis of documents with LLMs and RAG in Azure infrastructure - Development of automated topic modeling and sentiment analysis for customer experiences with LLM to identify reasons for purchase - Development of market intelligence webtools for automated analysis of customer data with pandas, pydantic and AWS
- Responsible as pre-sales engineer and AI architect in structuring customer projects and leading development with smaller teams of engineers - Development of data streaming and MLOps pipeline for production data in on-premise Apache environment with PySpark - Research and development as well as commercialization of smart textiles in medical and recreational industries with Edge AI - Development of ROS modules in C++ for surgical endoscope procedures with a robotic arm (franka emika panda) - Deep learning algorithms for segmentation and detection of organs and medical devices during surgical procedures
- Development of analytics platform with ELK stack and a flutter application for automated analysis of medical documentation with NLP pipeline in python/spaCy - Development of ROS modules in C++ for communication and movement of multiple robotic arms in medical environments - Development of NLP pipeline for automated analysis tool for technical documentation in automotive - Development of sports activity tracking on mobile devices and smartwatches in flutter for analysis of movements in e.g. badminton
Mitarbeit im DFG Schwerpunktprogramm "Kooperativ interagierende Automobile" Dozent für Maschinelles Lernen
Shader Programmierung von Fahrzeugmaterialien sowie Lackierungen unter verschiedenen Wetterbedingungen mit WebGL und Javascript