Varun Shenoy
San Francisco Bay Area United States
Summary
🤩
Rockstar🎓
Top SchoolVarun Shenoy is a software engineer with 11 years of experience based in the San Francisco Bay Area, combining industry engineering roles with research positions across Stanford, Berkeley AI labs, and healthcare-focused teams. He has worked on ML-driven research and production systems—from MRI tumor segmentation and medical annotation tools to circuit optimization and domain-specific languages—bringing a strong academic foundation with an M.S. in Computer Science and a B.S. in Electrical Engineering from Stanford. Varun ships full-stack solutions, exemplified by his GraphGPT open-source work that extracts knowledge graphs from text and showcases front-end innovation, API integrations, and thoughtful UX/error handling. His recent industry roles include engineering stints at Baseten, Remitly, and Apple, and he now contributes as a scout at Andreessen Horowitz, blending technical fluency with product and investment lens. Notably, he has a pattern of building practical ML tooling that bridges research prototypes and usable developer-facing applications.
11 years of coding experience
4 years of employment as a software developer
Cupertino High SchoolM.S. Computer Science, M.S. Computer Science at Stanford University
Spanish, English
Github Skills (11)
javascript10
openai-api10
react10
ui-design9
front-end-development9
gpt9
knowledge-graph9
uid9
api8
apim8
css8
Programming languages (12)
Github contributions (5)
varunshenoy/GraphGPT
Jan 2023 - Mar 2023
Extrapolating knowledge graphs from unstructured text using GPT-3 🕵️♂️
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:19 commits, 7 PRs, 14 pushes in 1 month
Contributions summary:Varun primarily focused on front-end development, implementing UI elements and integrating them with API keys. They added a text field for the OpenAI API key and incorporated error handling within the application. Furthermore, the user introduced a new graph implementation with color and deletion features. They also updated and improved the user interface with additional features and resolved small bugs in the code.
gpt-3knowledge-graph
rdaly525/BitFlow
May 2020 - Mar 2021
Repo for Curis project
Contributions:20 PRs, 135 pushes, 31 branches in 10 months
haikuattestation
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