Principal Software Engineer @ Microsoft GenAI
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Currently working on code-generation LLMs and coding-agents. I built the post-training pipelines for the Phi‑3 series of SLMs. Previously, I helped ship GitHub Copilot by fine-tuning OpenAI Codex models and integrating smaller client-side models for efficiency. My earlier roles at Azure AI and Bing Ads further honed my skills in machine learning frameworks, tooling, click prediction, and distributed systems—laying a strong technical foundation that informs my work today.
Stony Brook University
Master of Science (M.S.), Machine Learning, Computer Science
January 1, 2009 – January 1, 2011
Motilal Nehru National Institute Of Technology
Bachelor of Technology (B.Tech.), Computer Science
N/A – Present
Microsoft
Principal Software Engineer. Gen AI
August 1, 2023 – Present
Microsoft
Senior Software Engineer. Azure AI
July 1, 2019 – August 1, 2023
Microsoft
Software Engineer 2. Azure AI
July 1, 2015 – August 1, 2019
Microsoft
Software Engineer. Bing Ads, Azure Service Fabric.
August 1, 2011 – July 1, 2015
Stony Brook University
Research Assistant
January 1, 2010 – July 1, 2011
Stony Brook, New York
Phi series of large language models
January 1, 2024 – Present
I built the post-training pipelines for Phi3 and Phi4 series of language models
Cultural Fit Analysis
The candidate's career trajectory at a single major tech company (Microsoft) for over a decade demonstrates loyalty and ability to thrive within a large corporate culture. Their work on diverse AI projects, from LLMs and coding agents to ML libraries and ad targeting, shows adaptability and a broad interest in the AI domain. The personal project on Phi series LLMs further indicates a passion for the field beyond their professional responsibilities, aligning well with an innovative AI-focused role.
Soft Skills & Operational Fit
The candidate's extensive experience at Microsoft, progressing from Software Engineer to Principal Software Engineer, suggests strong operational fit, ability to work in large teams, and leadership potential. The descriptions of shipping major products like GitHub Copilot indicate a results-oriented approach and ability to deliver complex projects. However, specific soft skill assessments are not available from the provided data.