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I recently graduated from UC Berkeley with a master's in computer science. Over the years, I've been fortunate enough to work under Ren Ng on research in computational imaging and Edward Kim on problems in autonomous vehicle simulation. During my time at Cal, I was part of the multimedia team at our campus paper, a member of Extended Reality, and part of the Cinematic Arts and Production Club. Outside of school, I enjoy reading, filmmaking, and writing creative fiction. Email: jayshenoy@berkeley.edu |
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MS Thesis, 2022 Retina tracking and mapping in 2D and 3D. |
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Edward Kim, Jay Shenoy, Sebastian Junges, Daniel Fremont, Alberto Sangiovanni-Vincentelli, Sanjit Seshia International Conference on Cyber-Physical Systems (ICCPS), 2022 Best Paper Award Nominee Searching car-mounted image datasets using a domain-specific language. |
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Jay Shenoy*, James Fong*, Jeffrey Tan, Austin Roorda, Ren Ng ICCV, 2021 State-of-the-art eye tracking and mapping at the cellular scale. |
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Research Intern, Summer 2021 • Computational imaging research under Guru Krishnan and Prof. Shree Nayar. |
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Software Engineering Intern, Summer 2019 • Developed internal API for image similarity search, leveraging backend ML systems. • Added similar photos section to the FB Android app’s photo viewer as a prototypical use case for API. |
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Software Engineering Intern, Summer 2018 • Developed microservices for vehicle REST APIs to help migrate legacy architecture to AWS. • Created proof-of-concept embedded blockchain application to stream real-time vehicle logs to a decentralized server. |
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Relighting a portrait photo to match a target with geometry-aware illumination. |
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Inserting virtual objects into real photographs using inverse rendering techniques. |
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Pathtracing with mirror/glass/microfacet materials, environment maps, and camera effects. |
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Site template courtesy Jon Barron |