Summary
Yash Jain is a research-driven machine learning scientist with eight years of experience building foundation models and applied AI systems, currently a Member of Technical Staff at Essential AI in San Francisco. He holds a Master’s from Georgia Tech and a Bachelor’s with Honors from IIT Bombay, where he earned an Excellence in Research award, and his publication record includes oral and first-authored papers at NAACL, CVPR and NeurIPS on topics like local prompt optimization, diffusion models, and mixtures-of-experts. Prior work spans industry research and product impact—from improving Alexa speech recognition accuracy by over 38% to shipping an automatic prompt-authoring system and Office Copilot features at Microsoft—often combining novel self-supervised and synthetic data approaches. Comfortable moving ideas from theory to production, he has a track record of inventing new problem formulations (e.g., Group Supervised Learning) and filing patents, and maintains an open research presence at yash-jain.com.
8 years of coding experience
4 years of employment as a software developer
Indian Institute of Technology Bombay
Master's degree, Computer Science, Master's degree, Computer Science at Georgia Institute of Technology
English, Hindi, Spanish