Josh Reini is a developer advocate for AI and Open Source at Snowflake, where he helps developers build and evaluate applications powered by large language models. He joined Snowflake through the acquisition of TruEra and is a maintainer of TruLens, an open source library for systematically tracking and evaluating LLM-based applications.

A frequent speaker, Josh delivers tech talks and workshops at events including PyData, Devoxx, AI_Dev, AI DevWorld, and AI Camp meetups. His recent sessions cover practical LLM evaluation, including how to evaluate MCP-powered AI agents beyond simple accuracy metrics. He has also developed courses and taught students on platforms such as Coursera, DeepLearning.ai, Udemy, and DataCamp, and served as an advisor for Trustworthy Machine Learning at Stanford.

Through advocacy, open source, and teaching, Josh focuses on making AI evaluation and observability accessible to every builder.