Priyam Sahoo is an MS computer science student at UIUC and a researcher focused on the intersection of programming languages, formal methods, and machine learning, with a thesis on neural translation of informal intent into formal program specifications. Currently a student researcher at Microsoft working on next-edit suggestion models for GitHub Copilot, he brings practical experience in training and evaluating production-scale ML systems. At Red Hat he shipped developer-facing tooling—Ansible Language Server and Ansible Lightspeed—and helped fine-tune a generative model on a year of telemetry, contributing to a VS Code extension that surpassed 500,000 downloads. Priyam combines a research mindset (benchmarking specification validity and logical consistency) with product impact, turning ideas into tools used by real developers. He has a background in applied security and ML from internships at IIT Madras and a seven-year span of engineering experience that blends systems, automation, and AI. Notably, he focuses on making code easier to reason about and verify, not just faster to write.
7 years of coding experience
3 years of employment as a software developer
Bachelor of Technology - BTech Computer Science, Bachelor of Technology - BTech Computer Science at VIT-AP University
Master of Science - MS Computer Science, Master of Science - MS Computer Science at University of Illinois Urbana-Champaign
A python desktop app that works for doctors (to provide e prescriptions) and patients (to give out general details about medicines, tests, diseases, foods, exercises)
Contributions:8 commits, 11 pushes, 1 branch in 2 years 7 months
Contributions:127 commits, 7 PRs, 25 pushes in 7 months
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