Team
Hamel Husain
Hamel Husain is a machine learning engineer with over 25 years of experience. He has worked with innovative companies such as Airbnb and GitHub, which included early LLM research used by OpenAI for code understanding. He has also led and contributed to numerous popular open-source machine-learning tools.
Shreya Shankar
Shreya is a leading researcher on applied ML and AI systems. She has led extensive research on human-computer interaction for low-code tools to program complex LLM workflows including evals, monitoring and fine-tuning. Her research has been adopted widely and is incorporated into many commercial LLM tools such as Langsmith, Autoblocks, Parea, and more.
John Berryman
John has worked in technology since 2012. The first half of his career was spent building search applications. John helped build next-generation search for the U.S. Patent Office, built Eventbrite’s search and recommendation platforms, built GitHub’s code search, and co-authored a book – Relevant Search (Manning). While at GitHub, John moved into Data Science and then into Machine Learning with GitHub’s Copilot code completions and chat products. John is currently co-authoring an O’Reilly book for LLM application development.