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Sanit Gupta is a quantitative researcher at AlphaGrep since December 2021, specializing in the design of strategies for trading volatility products. Prior experience includes a role as a statistician and modeller at Goracle, where Sanit contributed to designing economic systems for a decentralized oracle network on the Algorand blockchain. At Optiver, time was spent trading Euro Stoxx Index options and developing automated trading strategies. While at the Indian Institute of Technology, Bombay, Sanit worked as a research assistant on various theoretical reinforcement learning projects and developed fast algorithms for solving the Laplacian for three-dimensional meshes. Internships at the Max Planck Institutes and Lymbyc equipped Sanit with experience in meta-cognitive reinforcement learning and building machine learning pipelines, respectively. Sanit holds a Bachelor of Technology in Mechanical Engineering with a minor in Computer Science from the Indian Institute of Technology, Bombay.