Dushyant Sahoo is an Applied AI/ML Lead with 11 years of experience building probabilistic and production-ready machine learning systems, currently leading applied AI work at JPMorgan Chase in Palo Alto. He combines a PhD in Electrical and Systems Engineering with deep statistical training from Wharton to deliver models for derivatives pricing, mortgage prepayment, credit bond alpha generation, and EPS forecasting. His background spans neuroscience and imaging research—where he developed adversarially robust factor models and CUDA-accelerated causal estimators—bringing rigorous experimental methods and scalable engineering to finance. Known for translating complex probabilistic models into deployable solutions, he also has a history of squeezing large speedups from nonconvex optimizations and applying domain-generalization techniques across problems.
11 years of coding experience
8 years of employment as a software developer
Master of Arts - MA Statistics, Master of Arts - MA Statistics at The Wharton School
Indian Institute of Technology Delhi (IIT Delhi)
Doctor of Philosophy - PhD Electrical and Systems Engineering , Doctor of Philosophy - PhD Electrical and Systems Engineering at University of Pennsylvania
Contributions:6 commits, 4 pushes in 1 year 3 months
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Dushyant Sahoo - Applied AI ML Lead at JPMorganChase