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I am a Senior Research Scientist at Pinecone where I work on a database that simplifies the transition from unstructured data to machine learning-powered semantic search. Specifically, I am working on on indexing and quantization algorithms to make vector search more scalable as well as on information retrieval to make retrieval augmented generation more reliable for production use cases. Previously I obtained a Ph.D. in Computer Science from Johns Hopkins University advised by Vladimir Braverman, and, earned a B.S. (2013-2017) and M.S. (2017-2018) in Computer Science from Carnegie Mellon University where I was fortunate to work with Anupam Gupta, Kirk Pruhs, David P. Woodruff and Anil Ada. <first name>.<last name>94@gmail.com / CV / Google Scholar / LinkedIn |
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Sebastian Bruch, Aditya Krishnan, Franco Maria Nardini In Submission, 2024 |
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Aditya Krishnan, Edo Liberty In Submission, 2022 |
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Vladimir Braverman, Aditya Krishnan, Christopher Musco ACM Symposium on Theory of Computing (STOC), 2022 |
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Haoran Li, Aditya Krishnan, Jingfeng Wu, Soheil Kolouri, Praveen K. Pilly, Vladimir Braverman Asian Conference in Machine Learning (ACML), 2021 |
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Vladimir Braverman, Robert Krauthgamer, Aditya Krishnan, Shay Sapir Conference on Learning Theory (COLT), PMLR, 2021 |
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Vladimir Braverman, Robert Krauthgamer, Aditya Krishnan, Roi Sinoff International Conference on Machine Learning (ICML), 2020 |
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Max Bender, Jacob Gilbert, Aditya Krishnan, Kirk Pruhs Conference on Web and Internet Economics (WINE), 2020 |
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Aditya Krishnan, Sidhanth Mohanty, David P. Woodruff International Conference on Approximation Algorithms for Combinatorial Optimization Problems (APPROX), 2018 |
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Teaching Assistant, 601.433/601.633 Introduction to Algorithms: F19, S20, S22 Teaching Assistant, 601.435/601.635 Approximation Algorithms: S21 Co-organizer, JHU CS Theory Seminar, F21, S22 Invited Reviewer: NeurIPS, ICML, ICLR External Reviewer: STOC, SODA, PODS |
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