Aekus Bhathal
Incoming Quantitative Trader
Berkeley, California, United States
Summary
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Senior🎓
Top SchoolAekus Bhathal is an incoming quantitative trader at Citadel Securities and a UC Berkeley student double-majoring in Computer Science and Mathematics with nine years of hands-on experience in software and research. He blends applied NLP research—working on goal-oriented language correction at Berkeley AI Research and prior FrameNet semantic projects—with practical trading experience from a Citadel Securities internship. As an EECS teaching assistant and long-time mentor, he regularly designs coursework and problem sets that demystify topics from convex optimization to probability theory. Comfortable moving between production engineering (Allganize internship) and research code, he has a track record of optimizing NLP pipelines and building pedagogical materials that scale. Based in Berkeley, he brings a rare combination of rigorous theoretical training and polished industry exposure suited for algorithmic trading and applied ML.
9 years of coding experience
1 year of employment as a software developer
Bachelor's degree, Computer Science and Mathematics, Bachelor's degree, Computer Science and Mathematics at University of California, BerkeleyUniversity of Toronto Schools
English, French, Spanish, Hindi, PunjabiGithub contributions (5)
Aekus/aekus.github.io
May 2020 - Apr 2023
Contributions:35 pushes, 1 branch in 2 years 11 months
Aekus/Handwriting_GAN
Jul 2020 - Jul 2020
Contributions:3 commits, 2 pushes, 1 branch in 1 day
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