
Research Scientist, Stanford University
About the Speaker:
Yegor Denisov-Blanch studies how artificial intelligence is changing software engineering. His research focuses on measuring real-world engineering productivity, AI adoption, code quality, and organizational outcomes across large populations of repositories and teams. He designs empirical methods and metrics that move beyond simple proxies to accurately quantify software output, rework, and AI-assisted development at scale.
His work has been covered by the World Bank, the United Nations, and The Washington Post, and has been reshared by Elon Musk.
Yegor graduated with highest honors from Indiana University, where he studied operations research. He also earned an MBA from Stanford Graduate School of Business on full-tuition scholarships. He left school after the eighth grade, founded a company, and later entered university skipping 5 grades. He is a Master of Sport of Russia in Olympic weightlifting, a national champion-equivalent distinction awarded in 2013.”
Wednesday, November 18th | 10:55 AM – 11:25 AM
Performance is the Product: Our Journey to SoTA for Nemotron Retriever
Kalpesh Sutaria
Director, NVIDIA
Wednesday, November 18th | 11:30 AM – 12:00 PM
Maximizing GPU Utilization in LLM Post-Training with Co-Operative Time-Slicing in LLM-D
Poonam Lamba
Senior Product Lead, Google
Wednesday, November 18th | 12:05 AM – 12:35 PM
Training Generative Recommenders in Production
Fuzail Khan
Senior Machine Learning Engineer, Meta
Wednesday, November 18th | 01:35 AM – 02:05 PM
Little's Law Meets the Roofline Model: A Decision Framework for Sizing Hosted LLM Inference
Balaji Varadarajan
Staff Engineer, LLM Inference, DigitalOcean
MLOps World | GenAI Summit 2026 is a two days of case studies, workshops, and expo on taking AI/ML and agentic systems into production – at the Etter-Harbin Alumni photo – full-bleed hero or browse files.