Khush Jammu is a versatile full-stack and machine learning developer with 11 years of experience building production systems and research-grade ML, fluent in Python, Swift, and JavaScript. He has delivered high-impact research engineeringâaccelerating an equilibrium counterfactual solver from 8 hours to 15 minutes using JAX at the University of Chicago and producing state-of-the-art RL results at MIT Media Lab. As a founder of Questo AI and organizer of large youth hackathons, he blends product instincts with pragmatic infrastructure skills (Docker, Kubernetes, GCP) and a track record of grants and public recognition. Currently joining IMC Trading as a quantitative trading intern, he brings experience across economic modeling, distributed systems, and sample-efficient RL to quantitative and engineering problems. A disciplined former Corporal in the Singapore Armed Forces, he pairs technical depth with leadership under pressure and a knack for squeezing performance from complex simulations.
10 years of coding experience
4 years of employment as a software developer
High School, Computer Science, High School, Computer Science at UWC South East Asia
Bachelor of Science - BS, Mathematics and Computer Science, Bachelor of Science - BS, Mathematics and Computer Science at University of Chicago
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