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Physicist & Coder: Turning complex ideas into clean code.
Selected work
Neo4j vector search (taglines + posters/CLIP), hybrid retrieval, and text-to-Cypher recommendations. Flask API + React demo.
Browser editor for OCR pages with chunking, embeddings, and document Q&A. Custom Python HTTP server + PHP bridge.
BigQuery + Cloud Functions ETL with monitoring, retries, and cost-aware scheduling. Deployed via Docker + CI/CD.
Core strengths
Strong fundamentals in statistics, algorithms, and systems; hands-on with ML pipelines and graph databases.
FastAPI/Flask, SQL, testing, auth, async, packaging.
Embeddings, vector search, CLIP image search, hybrid retrieval.
ETL, BigQuery, containers, observability, cost control.
GEANT4, simulations, numerical methods, visualization.
I’m a physicist turned engineer based in Tübingen. I build data-intensive products, with a focus on retrieval systems, graph databases, and production ML usability. I care about readable code, observability, and shipping value.
Email is best. I’m open to roles in Data Engineering, AI/ML, and Backend.
Design creates culture. Culture shapes values. Values determine the future.