Summary
Gökhan Şimşek is a Lead Engineer and Data Scientist with a decade of experience building production ML systems and developer tools, currently leading data science efforts at bol in the Netherlands. He blends deep software engineering (C++, Qt, Rust, Python, JS) with applied ML research, pursuing an MSc in Data Science in Engineering at TU/e and holding a strong academic record from Bilkent. His background spans end-to-end model development, explainability research (novel DGANN2 work on efficient Shapley value computation), cloud deployment on Azure and AWS, and low-level systems work from his earlier Robomongo/Robo 3T contributions. Comfortable shifting between research, engineering and technical writing, he has a track record of turning complex algorithms into production services and clear technical content. Notably, he pairs hands-on language diversity (including Solidity and Move) with practical deployment experience, making him effective at shipping secure, performant ML/engineered products.
10 years of coding experience