Aparajithan Venkateswaran is a Data Scientist at Xbox, Microsoft, combining rigorous statistical research with product-focused machine learning to drive personalization and LLM-powered experiences. He holds a Ph.D. in Statistics from the University of Washington, where his dissertation probed causal discovery and the Rashomon effect—work that bridges theoretical identification problems with practical model selection concerns. With a BS in Computer Science and Applied Mathematics and nine years of industry and research experience, he has repeatedly translated academic ideas into production: from HoloLens wayfinding and Edge experimentation tools to LLM personalization at Xbox. He also brings teaching experience across statistical and computational courses, and an early track record of inventing parsing algorithms (with a provisional patent route) for resume-structure discovery. Based in Seattle, he blends curiosity-driven exploration with pragmatic engineering to solve high-impact problems at the intersection of causality, ranking, and personalization.
9 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy - PhD, Statistics, Doctor of Philosophy - PhD, Statistics at University of Washington
Bachelor of Science (B.S.), Computer Science, 4.00, Bachelor of Science (B.S.), Computer Science, 4.00 at University of Colorado Boulder
Contributions:21 PRs, 131 pushes, 22 branches in 8 months
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