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Samuel Colvin is a Python and Rust developer and Founder of Pydantic Inc., backed by Sequoia to build Pydantic Logfire — developer first observability. The Pydantic library, which he created is downloaded over 280M/month and is a dependency of virtually every GenAI Python libraries including the OpenAI SDK, the Anthropic SDK, the Google Gen AI SDK, Langchain and LlamaIndex.
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Rachel-Lee Nabors spent the better part of their career on web standards and opensource and has spearheaded developer education at FAANG and startups, on the React Team, and W3C. Now they work to usher in the future with browser builders and Silicon Valley startups, teaching a new generation of builders that “it's not magic; it's just math” and building experiences that adapt information to people. You can find them drinking tea in London or shadowboxing in San Francisco.
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Jeremiah Lowin is the founder and CEO of Prefect and the author of FastMCP. Prefect develops automation tools used across the data and AI ecosystem, and FastMCP has become the standard framework for working with the Model Context Protocol. Before founding Prefect, he spent over a decade leading risk and data initiatives at major investment firms and was a founding member of the Apache Airflow PMC. He lives in Washington, DC.
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Martin O'Reilly is Director of Research Engineering at the Alan Turing Institute, the UK's national institute for data science and AI. Martin runs the Turing's Research Engineering Group- a team of research software engineers, research data scientists, research computing engineers, and research data wranglers who work across the Turing's research and innovation portfolio to bridge the gap between research and practice.
Martin has spent 25 years developing software, managing software projects, and managing technical teams across both academic and commercial sectors. At Turing, his main focus is on leveraging research engineering and data science practices to increase the impact of research by making it reproducible, reliable, robust, and reusable, both as "best" practices for research engineering professionals and as "good enough" practices for the wider research community. Martin is also a trustee of the Society of Research Software Engineering and, in both his Turing and Society roles, he works on establishing sustainable organisational structures, career pathways, and operating models for teams of research engineers and other related research infrastructure roles.
https://www.turing.ac.uk/people/researchers/martin-oreilly
