Sahil Kuchlous is a research engineer focused on the intersection of algorithms and systems, blending a decade of practical engineering with recent graduate-level research from Harvard. He has shipped production tooling used across teams at Two Sigma, improved EBS latency at Amazon, and now applies algorithmic insight to finance as a research engineer at a private hedge fund. Sahil has taught graduate and undergraduate CS courses at Harvard, translating recent theoretical work into problem sets and hands-on projects in privacy and fairness. His research on streaming algorithms for tournament graphs was published at ESA 2024, reflecting a strong theoretical backbone that informs his systems work. Based in Cambridge, he pairs rigorous math-and-CS training with a track record of turning research ideas into production-ready software.
10 years of coding experience
1 year of employment as a software developer
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at Harvard University
High School Diploma, Computer Science, High School Diploma, Computer Science at Inventure Academy
Summer College, Mathematics and Computer Science, Summer College, Mathematics and Computer Science at Stanford University
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Sahil Kuchlous - Research Engineer at Private Hedge Fund