Summary
Jonas Kopka is a data scientist in Germany with a decade of professional experience and 14 years of programming background, specializing in NLP, LLMs, semantic search and transformer models. He has applied NLP to high-impact domains—ESG analysis for large funds, insurance-claims and clinical text processing—bridging research-grade models with production data engineering and full-stack delivery. Jonas has built transformer-based detectors for German medical texts and real-time C++ neural solutions for mobile QR detection, demonstrating fluency across Python ML stacks and performance-optimized systems. Trained at Hasso Plattner Institute and Freie Universität Berlin, he pairs rigorous academic grounding with hands-on product work and interview/mentoring experience. A practical problem-solver, he often translates complex regulatory or clinical requirements into deployable ML workflows that meet real-world constraints.
9 years of coding experience
5 years of employment as a software developer
Bachelor, Computer Science, 1.7, Bachelor, Computer Science, 1.7 at Freie Universität Berlin
Master, IT-Sytems-Engineering, 1.6, Master, IT-Sytems-Engineering, 1.6 at Hasso Plattner Institute