07
AI agentsLinkedIn Jobs MCP Server
Give AI assistants real-time job search, location-aware queries, and intelligent filtering through the Model Context Protocol.
View repositoryAI/ML Engineer & ResearcherNuremberg, Germany
Engineering intelligence.
From idea to real-world impact.
Deploying intelligent agents. Optimizing AI models. Building systems that work in the real world.
Scroll
01Selected work
All 19 projectsIdeas, built into systems.
08
ML systemsDeepSeek OCR Docker
A containerized DeepSeek-OCR setup for extracting text from images and documents, with GPU acceleration and a Flask API.
View repository10
AI agentsWeb Search MCP
A modular research stack for web search, content extraction, vector storage, and retrieval-augmented generation.
View repository02The engineer
Curiosity in. Intelligence out.
I’m the sole AI/ML engineer at Rx Systems, owning client projects from architecture to delivery across embedded software testing for medical devices, generative AI, and industrial robotics. I also lecture on applied AI, NLP, and data management at SRH University. Behind that sits over five years of engineering and applied research.
Day to day that means end-to-end blackbox testing frameworks for safety-critical embedded medical systems, RAG architectures and agentic workflows that write code and run test suites, MCP connectors for Claude Code, GitHub Copilot, and Azure, and predictive maintenance models for industrial cobots. I’m also the creator of RICHES, a multimodal, cross-lingual RAG system.
Let’s connect19Open-source projects
08Interactive demos
05+Years of experience
Based inNuremberg, Germany
Focus areas
Agents. Models. Real-world systems.
03Experimental spaces
Explore all spacesLess theory. More tinkering.
Draw, adjust, run, repeat. Get a feel for the algorithms behind intelligent systems.
Experiment 01
Unsupervised learning
K-Means
Move from scattered points to structure. Watch centroids and cluster assignments converge, one iteration at a time.
Launch playgroundExperiment 04
Deep learning
Neural networks
Draw a digit, inspect a prediction, and teach the network. See activations, weights, and gradients change through backpropagation.
Launch playgroundExperiment 07
Language models
Attention
Follow tokens through a query, key, and value pipeline. Compare attention patterns and inspect a token-to-token matrix.
Launch playground04Field notes