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Principal Applied Scientist @ Microsoft
About
Principal Applied Scientist at Microsoft with expertise in reinforcement learning, large language models, and human-centered AI. I've published 40+ papers in top venues (ICML, ICLR, CHI) and led teams delivering impactful AI products like Amazon Q Developer. Passionate about mentoring, research, and bridging science with real-world applications.
Mentorship topics
- AI/ML
- Research
- Leadership
- Data Science
- Career Advice
Skills
- Model Selection
- User-Centered Design
- Roadmap Planning
- Literature Review
- Interview Preparation
- Hypothesis Testing
- Experimental Design
- Exploratory Data Analysis
- Data Cleaning
- Anomaly Detection
