
Maxime builds tools and create content that make LLMs more accessible and powerful for everyone. He is a core contributor to DSPy and has built numerous open-source Python libraries to advance the ecosystem, including attachments, functai, ovllm, dspy-lm-auth, dspy-template-adapter, and mcp2py. Previously, he worked at Elsevier, building AI infrastructure and compound AI programs to cost effectively run on 100 million records weekly.
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Rivest is a hands-on DSPy power-user and prolific open-source toolmaker (attachments, mcp2py, funnydspy, functai) who digs into DSPy's internals and turns them into practical, build-along LLM programs — useful if you want concrete, code-first techniques for programming and optimizing LLMs rather than prompt-tweaking.