Michael Lyskawinski
Machine Learning Engineer at Stripe
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolMichael Lyskawinski is a Machine Learning Engineer with a decade of experience building production ML systems and leading AI initiatives across finance, startups, and product teams. Currently on the ML team at Stripe, he previously led ML at Rosetta Analytics where he applied deep reinforcement learning to liquid investment strategies and co-founded AI consultancies and health-tech ventures that turned research into deployed features. He blends a mechanical engineering foundation with an MS in computer science and hands-on expertise in productizing models, advising founders, and making technical hiring and architecture decisions. Known for moving early AI ideas into scalable products, he has a track record across asset management, social media SaaS, real estate tech, and mental health applications. Notably, his background spans both algorithmic trading research and startup operational leadership, giving him a rare combination of quantitative rigor and product-first engineering.
9 years of coding experience
7 years of employment as a software developer
Bachelor of Engineering (B.E.) Mechanical Engineering, Bachelor of Engineering (B.E.) Mechanical Engineering at Stevens Institute of Technology
English, Polish, Japanese
Github Skills (66)
parallel10
python10
hyperparameter-optimization10
etl10
automation10
mlops10
deep-learning10
automl10
ray10
orchestration10
optimization10
scheduler10
llm-inference10
monitor10
data-science10
Programming languages (4)
Github contributions (5)
Michalos88/second-improved
Oct 2019 - Dec 2019
Contributions:76 commits, 1 push in 2 months
Michalos88/dotfiles
Aug 2019 - Dec 2024
Contributions:43 pushes, 2 branches in 5 years 4 months
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