Summary
Martin Hanzel is an AI/ML architect and researcher with 11 years of experience spanning high-performance model engineering, cloud systems, and prior wet-lab genetic engineering. Trained at EPFL and the University of Ottawa, he combines deep academic rigor with practical product delivery—designing microservice IoT platforms, building multilingual educational NLP systems, and pushing the limits of LLM internals in PyTorch and C++/CUDA. At Tachyum he researched quantization and compression methods including effective 2-bit weights and demonstrated FP4 training approaches for order-of-magnitude speedups, while advising custom AI microprocessor design. Equally comfortable in DevOps and frontend roles, he has a track record of improving developer ergonomics and scaling systems to hundreds of thousands of messages per second. He’s looking for senior engineering, tech lead, or architecture roles where he can own product direction, mentor teams, and translate cross-disciplinary curiosity—biology to silicon—into production impact.
12 years of coding experience
9 years of employment as a software developer
Honours, B.Sc., Computer Science, 9.95/10, Honours, B.Sc., Computer Science, 9.95/10 at University of Ottawa
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at EPFL (École polytechnique fédérale de Lausanne)
English, French, Slovak, Czech, Spanish