Ramtin Keramati
Visiting Lecturer at Two Sigma
Palo Alto, California, United States
Summary
👤
Senior🎓
Top SchoolRamtin Keramati is an AI research scientist at Two Sigma Investments, applying reinforcement learning, deep learning, and safe AI to quantitative investing challenges. He earned a Ph.D. in Mathematical and Computational Engineering from Stanford and served as the Head Teaching Assistant for CS230 Deep Learning with Prof. Andrew Ng. His industry experience includes Apple’s Health Strategic Initiative as a research scientist, with prior data science internships at Uber and Stitch Fix. He holds a Bachelor's degree in Mechanical Engineering from Sharif University of Technology, reflecting a cross-disciplinary approach to AI. Based in Palo Alto, California, he brings eight years of experience across academia, tech, and finance, and a track record of translating rigorous research into production-ready systems.
8 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy (Ph.D.), Mathematical and Computational Engineering, Doctor of Philosophy (Ph.D.), Mathematical and Computational Engineering at Stanford UniversityBachelor’s Degree, Mechanical Engineering, Bachelor’s Degree, Mechanical Engineering at Sharif University of Technology
English, German, Persian
Github Skills (2)
sequential2
evaluation2
Programming languages (1)
Github contributions (5)
Rkeramati/rkeramati.github.io
Jul 2017 - Jun 2021
Contributions:105 pushes, 1 branch in 3 years 10 months
Rkeramati/crl
Dec 2018 - Mar 2019
Contributions:41 pushes in 3 months
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