Tomas Ye is a founder and former Amazon machine learning engineer with eight years of experience applying theoretical math and AI to large-scale logistics and supply chain problems. At Amazon he built optimization and big-data platforms that delivered multi-million dollar savings and a 65% uplift in analytics efficiency, and he now leads Perseuss to gamify warehouse work while delivering near-instant ROI for enterprise e-commerce clients. Trained as a pure mathematician, Tomas blends rigorous theoretical thinking with hands-on ML engineering to turn complex optimization into practical, low-risk products. Bilingual in Czech and English and based in the NYC metro area, he brings a rare mix of athletic discipline (gymnastics) and analytical depth to founding AI startups for real-world operations.
8 years of coding experience
5 years of employment as a software developer
Master's degree Pure Mathematics, Master's degree Pure Mathematics at Charles University
Contributions:27 commits, 28 pushes, 1 branch in 4 months
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