Hamel Husain

Hamel Husain is a machine learning engineer and educator 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 builds systems for AI-powered data processing. She holds a PhD in Computer Science from UC Berkeley and, in 2027, will join Carnegie Mellon University as an Assistant Professor of Computer Science. Shreya created DocETL, an open-source system for analyzing unstructured text at scale, deployed across journalism, law, medicine, policy, finance, and urban planning. Her research has been published at top computer science venues including VLDB, SIGMOD, and UIST (including a Best Paper award), and has influenced systems at Snowflake, BigQuery, LangChain, and OpenAI. Before her PhD, Shreya worked as a ML and data engineer at startups. She holds a BS in Computer Science from Stanford University.

Isaac Flath

Isaac Flath is an AI engineer and educator who has spent the last decade building AI products with startups and larger companies. His work centers on the systems that make AI products reliable in production — retrieval, evals, memory, tool calling, traces, and agent workflows. He also runs the AI Product Engineering Club and teaches widely followed courses on RAG and AI-assisted coding.

Antaripa Saha

Antaripa Saha is a machine learning engineer focused on search, retrieval, agents, and evals. She has worked with multiple early-stage AI startups as a consultant, helping design and build production AI systems and do applied research across retrieval, evaluation, memory, and LLM fine-tuning.