Patrick Stiller is an AI Lead and seasoned computer scientist with 11 years of experience building production-ready Python systems and applying ML to real-world problems, currently shaping tracetronic’s AI roadmap for automotive software testing. He combines deep research expertise—from physics-informed neural networks and large-scale HPC runs (180 GPUs) at HZDR—to hands-on product delivery, prototyping features with customers and translating concepts into scalable engineering. Patrick has led data-driven services like anomaly detection and steered the ecu.test agent product to improve testing efficiency through pragmatic AI. A regular speaker and mentor, he actively shares knowledge via paper-reading groups and JugendHackt, bringing a rare blend of academic rigor and developer empathy. Based in Dresden, he pairs strong software architecture instincts with a tester’s focus on usability and measurable impact. Beyond the resume, he’s equally likely to be found running a long-distance route or presenting ML work at conferences.
11 years of coding experience
3 years of employment as a software developer
Diplom Informatik, Diplom Informatik at Technische Universität Dresden
Neural network based solvers for partial differential equations and inverse problems :milky_way:. Implementation of physics-informed neural networks in pytorch.
Contributions:2 releases, 16 reviews, 268 commits in 2 years 4 months
Contributions:41 pushes, 1 branch, 2 comments in 3 years 11 months
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