Kapil K is a Jr Quant Researcher with nine years of experience blending data, systems, and software to solve optimization and modeling problems. Currently at Glencore and a PhD candidate in Systems (Optimization) at Cornell, he brings hands-on expertise in multidisciplinary design optimization, differentiable hydrodynamics in Julia, and high-performance computing. His background spans sports analytics at CMU and Winona State to data analysis in industry, giving him a rare mix of academic rigor and practical impact. He completed intensive HPC training at Argonne and has interned at national labs, demonstrating comfort with leadership-class compute and production research code. Colleagues can expect a practitioner who moves from hypothesis and statistical modeling to deployable computational solutions. An under-the-radar strength is his fluency across domains—mathematics, statistics, and systems engineering—enabling cross-disciplinary innovation.
9 years of coding experience
1 year of employment as a software developer
Bachelor's degree Mathematics and Data Science, Bachelor's degree Mathematics and Data Science at Winona State University
Doctor of Philosophy - PhD Candidate Systems (Optimization), Doctor of Philosophy - PhD Candidate Systems (Optimization) at Cornell University
Statistics and Data Science, Statistics and Data Science at Carnegie Mellon University
Lake Quality and Taxation data interaction and prediction of median sale value
Contributions:9 PRs, 109 pushes, 4 branches in 2 years 2 months
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