Top LLM Engineers | Best Experts on GitHub

llm.md

LLM today is shaped by four threads: prompt engineering, model selection, inference optimization, and evaluation patterns. The LLM experts below lead work across each.

Avatar	Name	GitHub	Notable Contributions†
	Jun Siang Cheah	@cheahjs	Maintains free-llm-api-resources
	Jun Kim	@jundot	Maintains omlx
	Eric Buehler	@EricLBuehler	mistral.rs contributor
	Georgi Gerganov	@ggerganov	llama.cpp contributor
	Phillip LeBlanc	@phillipleblanc	spiceai contributor
	Luke Kim	@lukekim	spiceai contributor
	Sergei Grebnov	@sgrebnov	spiceai contributor
	Jack Eadie	@Jeadie	spiceai contributor
	Alex Chi Z	@skyzh	Maintains tiny-llm
	William	@peasee	spiceai contributor
	Bart Tadych	@b4rtaz	Maintains distributed-llama
	DefTruth	@DefTruth	Awesome-LLM-Inference contributor
	Łukasz Augustyniak	@laugustyniak	Independent LLM consultant
	C. L. Wang	@SpikeKing	Independent LLM engineer

† Not a ranked list — position is independent of expertise or seniority.

Together, these LLM experts shape the project's roadmap and surrounding ecosystem.

AI & Machine Learning: LangChain · Keras · ChatGPT · Generative AI · LlamaIndex · LangGraph · Claude · OpenCV

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