Aleksandr Samarin is a Senior ML Engineer based in Amsterdam with 11 years of experience bridging academic research and industrial AI productization. He has led and shipped large-scale LLM alignment and RLHF work at Huawei—distilling models by an order of magnitude while keeping 90–95% teacher performance—and has hands-on experience deploying ML into embedded devices (voice cloning, audio biometrics) across millions of endpoints. Previously he led data science efforts building automated product categorization, dynamic pricing, OCR and data unification services for international teams, and earlier honed numerical and low-latency C++ systems in quantitative engineering roles. Trained in mathematical finance and applied mathematics, he combines rigorous modeling skills with production engineering and mentoring experience, making him adept at turning cutting-edge research into scalable, deployable solutions. An intriguing throughline: he repeatedly compresses complexity—both models and systems—while preserving practical performance.
11 years of coding experience
8 years of employment as a software developer
Master of Science (M.Sc.), Mathematical Finance, Master of Science (M.Sc.), Mathematical Finance at The University of Kiel
Bachelor of Applied Science (B.A.Sc.), Applied Mathematics and Computer Science, Bachelor of Applied Science (B.A.Sc.), Applied Mathematics and Computer Science at Peter the Great St.Petersburg Polytechnic University
High School, High School at Saint Petersburg Lyceum 239
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