Sidharth Mundhra is an engineer blending quantitative finance and robotics expertise, currently driving interest rate derivatives strategy at Morgan Stanley after two summers and a multi-year quant strat role. A Mechanical Engineering undergrad with a CSE minor from IIT Bombay, he leads complex, multidisciplinary engineering projects—most notably heading India’s top underwater robotics team where he designed LQR controllers, low-level drivers, and 3D hull reconstruction pipelines. He’s an active open-source contributor and GSoC alumnus/mentor for SymPy, where his backend work produced a 40% speed-up in limit calculations and improved distribution handling in a widely used Python CAS. Equally comfortable writing C++/ROS drivers for sensors or developing precision option-pricing techniques in a trading desk environment, he brings 6 years of hands-on systems, control, and software experience. Not obvious at first glance: he pairs deep low-level hardware interfacing with production-grade numerical improvements, bridging naval robotics and financial engineering.
Contributions:142 reviews, 110 commits, 42 PRs in 9 months
Contributions summary:Sidharth primarily contributed to the SymPy library by fixing bugs related to the simplification of stochastic processes and pretty printing. They also introduced new features such as an abstract class for Distributions and tests for the same. Their work involved modifying existing code to address issues and improve the functionality of the library.
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