Frithjof Winkelmann is a data scientist with 11 years of software engineering experience, currently building predictive models at Neko Health after a focused stint on prediction under uncertainty for autonomous driving at Argo AI and CARIAD. With a Master's from TUM, he blends deep learning research (point clouds, radar SLAM, explainability) with practical production engineering across Python/TensorFlow, Java/Spring, and cloud-native tooling. He has a proven track record moving models from research into products—extending AutoML and explainability in ZEISS and integrating prediction stacks at automotive scale. Comfortable across the full stack, he pairs front-end and backend experience from earlier full‑stack roles with recent specialization in safety‑critical ML systems. An understated strength is his ability to navigate both research-driven prototyping and robust software delivery in regulated industries.
11 years of coding experience
8 years of employment as a software developer
Master's degree Computer Science, Master's degree Computer Science at Technical University of Munich
High School, High School at Humboldt Gymnasium Radeberg
Contributions:542 commits, 20 PRs, 100 pushes in 3 months
deep-learningkerasmachine-learningtensorflow
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