Tijmen Blankevoort

Deep Learning Researcher at NVIDIA

San Francisco, California, United States
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Summary

👤
Senior
🎓
Top School
Tijmen Blankevoort is a deep learning researcher and engineering leader with 13 years of experience building efficient, production-ready AI systems across startups and major silicon companies. He co-founded and served as CTO of Scyfer, a University of Amsterdam spin-off later acquired by Qualcomm, and has since led deep learning engineering teams focused on quantization, compression and conditional computing. At Qualcomm he rose to Director of Engineering, then continued research roles at Meta and NVIDIA working on numerics, LLM training and model efficiency. Tijmen combines academic rigor (MA in Artificial Intelligence, BSc in Mathematics) with hands-on system optimization for edge and cloud deployments. He’s driven by making AI accessible everywhere and is equally comfortable shaping product strategy as he is tuning low-level numerical performance. A multilingual thinker who has bridged research, startup growth and chip-focused engineering, he brings rare depth in both algorithms and deployment constraints.
code13 years of coding experience
job14 years of employment as a software developer
bookBSc Mathematics, BSc Mathematics at Leiden University
bookMA Artificial Intelligence, MA Artificial Intelligence at University of Amsterdam
bookMathematics Japanese, Mathematics Japanese at Keio University
languagesJapanese, English, Dutch
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Github Skills (51)

python10
expressions10
acceleration10
machine-learning10
optimizer10
numpy10
deep-learning10
gpu10
tensorflow10
autograd10
neural-network10
offloading10
tensor10
gpu-acceleration10
pytorch9

Programming languages (3)

C++JavaScriptPython

Github contributions (5)

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TiRune/pytorch

Apr 2024 - Jul 2024

Tensors and Dynamic neural networks in Python with strong GPU acceleration
Contributions:16 pushes, 2 branches in 2 months
Contributions:7 commits in 3 months
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