Archan Ray
Applied Research Scientist at JPMorganChase
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolArchan Ray is an applied research scientist and PhD candidate based in New York with nine years of experience designing computationally efficient algorithms grounded in numerical linear algebra for machine learning. His work focuses on sublinear-time and sublinear-query matrix algorithms with practical applications across model compression, fast learning functions, and studying memorization in neural networks. He has moved between academia and industry—most recently joining JPMorgan Chase after postdoctoral work on matrix sparsification for clinical data at Memorial Sloan Kettering and a long research stint at UMass Amherst. Archan brings hands-on applied science experience from AWS internships and research collaborations at the Indian Statistical Institute, coupling theoretical depth with production-minded problem solving. Outside research he’s a guitarist and DC comics fan, a detail that hints at creative curiosity he channels into both math and engineering.
9 years of coding experience
8 years of employment as a software developer
Master of Technology (M.Tech.), Computer Science, 74.25%, Master of Technology (M.Tech.), Computer Science, 74.25% at Indian Statistical InstituteUniversity of Massachusetts AmherstB.Tech, Computer Science & Engineering, 8.5, B.Tech, Computer Science & Engineering, 8.5 at West Bengal University of Technology
Github Skills (48)
ranking10
science10
computer-science10
react10
dialog9
pytorch9
python9
machine-learning9
natural-language-processing9
deep-learning9
speech-recognition9
nlp9
transformer9
language-model8
bert8
Programming languages (2)
Github contributions (5)
archanray/eigenvalue_estimation
Jun 2021 - Jan 2024
Contributions:1 PR, 148 pushes, 1 branch in 2 years 7 months
archanray/archanray.github.io
Aug 2020 - Dec 2024
Contributions:200 pushes, 1 branch in 4 years 3 months
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