Nicolas Remerscheid
Machine Learning Engineer at TUM.ai
San Francisco, California, United States
Summary
🤩
Rockstar🎓
Top SchoolNicolas Remerscheid is a Machine Learning Engineer based in San Francisco with eight years of hands-on experience building AI systems that bridge research and production. Currently on the Customer Success team at Weights & Biases, he focuses on applying ML tooling to real-world workflows while advocating for safe, collaborative AI. His background spans academic research (TUM, Imperial College), industry collaborations (BMW), and startup initiatives, plus a unique stint as an AI specialist in the Swiss military. A co-founder of TUM.ai, he has scaled interdisciplinary student engagement to hundreds of participants and forged industry partnerships that drive AI adoption. Nicolas combines deep technical skills in sequence modeling and robotics with a passion for education and inclusive AI initiatives, aiming to make ML accessible across diverse domains.
8 years of coding experience
1 year of employment as a software developer
Exchange for Master's Thesis, Computing, Exchange for Master's Thesis, Computing at Imperial College LondonNanodegree, Deep Learning, Nanodegree, Deep Learning at UdacityBachelor of Science - BS, Elektrotechnik, Eletronik und Kommunikationstechnik, 2.0, Bachelor of Science - BS, Elektrotechnik, Eletronik und Kommunikationstechnik, 2.0 at Technische Universität MünchenCenter for Digital Technology and Management (CDTM)
French, English, German, Spanish
Github Skills (51)
secure-computation10
pytorch10
python10
reinforcement-learning10
keras10
privacy10
data-versioning10
deep-learning10
federated-learning10
cryptography10
hyperparameter-tuning10
science10
privacy-enhancing-technologies10
data-science9
pandas9
Programming languages (5)
Github contributions (5)
NiWaRe/DPBenchmark
Jun 2021 - Dec 2022
Contributions:158 commits, 73 pushes, 3 branches in 1 year 6 months
TUM-AIMED/PrivateSegmentation
Oct 2020 - Feb 2021
PriMIA: Privacy-preserving Medical Image Analysis
Contributions:7 reviews, 103 commits, 2 PRs in 3 months
image-analysismedical-imageprivacymedicalmedical-image-analysis
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