Naman Gupta is a quantitative strategist and IIT Kanpur Computer Science undergraduate with 8 years of hands-on experience building ML and systems solutions, currently working on mid/high-frequency options at Quadeye. He blends computer vision and reinforcement learning expertise with practical deployment skills—ONNX, TensorRT, OpenVINO and cloud deployments—from internships and R&D roles that delivered auto-grading and NLP/CV pilots. A semester at TUM and multiple program- and research-focused roles show his aptitude for bridging research and production, while his long-standing Free and Open Source Software advocacy signals a strong engineering culture. Outside core work he explores penetration testing and economics, and is as likely to discuss model architectures as he is Formula 1 and football.
7 years of coding experience
Indian Institute of Technology Kanpur
Semester Exchange Informatics, Semester Exchange Informatics at Technical University of Munich
Contributions:11 commits, 13 PRs, 48 comments in 3 months
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