Pradipta Bora is a quantitative developer at Jane Street Capital, building low-latency trading algorithms for derivatives across global markets. An IIT Bombay Computer Science graduate with a 9.93 GPA (top 3 in his batch), he combines deep academic rigor with production-grade software engineering. His core interests include distributed systems, formal methods, applied machine learning, and quantitative trading, with a strong passion for functional programming (Haskell and OCaml) in industry. He is fluent in C++ and is exploring Rust, reflecting a practical, polyglot approach to high-performance systems. Previously, he interned at Tower Research Capital on ML-driven asset models and at a proprietary trading firm for compiler preprocessors and surveillance software, with research stints in formal methods and graph neural networks. Based in Hong Kong, Pradipta brings a proven ability to translate complex theory into reliable, scalable trading infrastructure.
A Pythonic Implementation of lyrics.wikia.com for getting lyrics of songs
Contributions:2 PRs, 10 pushes, 1 branch in 3 years
pythonsongslyricswikiamusic
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