Sahil Sindhi is a Quantitative Research Engineer at Citadel since November 2025, focusing on Global Quantitative Strategies. Previously, Sahil served as a Quantitative Researcher at Monoceros from September 2023 to August 2025. Prior experience includes a Robotics and Autonomous Systems Research Internship at A*STAR, where Sahil contributed to a path planning robotics project employing computer vision and reinforcement learning. Additionally, during a brief tenure at MBDA, Sahil worked as a Guidance Navigation and Control Engineer, modeling missile subsystems in Matlab and Simulink. Early roles include tutoring at MathSci Education and an internship at Leonardo in electrical and mechanical engineering. Sahil holds an MEng in Information and Computer Engineering and a BA in Information and Computer Engineering from the University of Cambridge, completed between 2019 and 2023, along with A levels from Merchant Taylors' School.
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