Sayan Chakraborty is a founder and machine learning researcher-engineer with 11 years of experience building scalable systems and leading teams from early-stage startups to large tech. He focuses on large language models, RLHF, self-supervision and alignment, and has hands-on experience pretraining, finetuning, distilling, and speculatively decoding models at Qualcomm and in academic research at Brown. Prior to grad school he led engineering efforts at high-traffic platforms—designing cloud ticketing, real-time interaction infrastructure, and cross-platform apps—bringing production-grade reliability to events used at IPL/ISL scale. An active open-source contributor, he has fixed and improved DuckDuckGo Instant Answers among other projects, and has won multiple hackathon awards. Based in San Francisco, he combines deep research on alignment with practical product-first engineering and a knack for shipping resilient distributed systems.
11 years of coding experience
6 years of employment as a software developer
Bachelor of Technology (B.Tech.) Computer Science and Enginerring, Bachelor of Technology (B.Tech.) Computer Science and Enginerring at Maulana Abul Kalam Azad University of Technology, West Bengal (MAKAUT, WB)
Master's degree Computer Science, Master's degree Computer Science at Brown University
DuckDuckGo Instant Answers based on JavaScript (JSON) APIs
Role in this project:
Back-end Developer
Contributions:6 commits, 6 PRs, 14 comments in 20 days
Contributions summary:Sayan primarily contributed to bug fixes and improvements in the DuckDuckGo Instant Answers project. Their work involved fixing CSS issues, resolving problems related to the "isitup" and "time" spices, and updating triggers for GitHub repository search functionality. The contributions also included modifications to Perl scripts and regex patterns to improve the accuracy and functionality of the Instant Answers.
Contributions:3 pushes, 1 branch in 5 years 9 months
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