Jeet Das is an engineer with a decade of experience building scalable software and applied AI systems, currently focused on teaching AI to reason through roles at GenLift and as an ML consultant for TeraCrunch. He blends hands-on platform engineering—previously driving new lending products and core platform scalability at C2FO—with research leadership in deep learning and generative models across partnerships with Microsoft Research, The University of Tokyo, and FIU. His work spans applied research in language models, human-computer collaboration, and mobility and disaster-impact modeling, highlighting an ability to move ideas between academic labs and production contexts. Based in Kansas City, he pairs a strong data-science academic background with practical consulting experience across healthcare, logistics, and finance, and is known for being both a builder and a helper who enjoys turning complex problems into usable systems.
10 years of coding experience
8 years of employment as a software developer
Masters Computer Science - Data Science and Analytics, Masters Computer Science - Data Science and Analytics at University of Missouri-Kansas City
Book recommendation program using hash tables in C++
Contributions:6 PRs, 13 pushes, 7 branches in 5 years 9 months
cpphash-tablesrecommendationhash
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