Sharon Zhou

Sharon Zhou is co-founder and CEO of Lamini, a platform for enterprise fine-tuning and custom LLMs. A Stanford PhD advised by Andrew Ng, former Google AI PM, and Coursera instructor, she builds tools for teams that want specialized models without becoming a foundation-lab.

Stanford, Coursera, and applied gen AI

Zhou led a large generative AI research group as Stanford faculty, published award-winning work, and teaches widely taken Coursera courses on fine-tuning LLMs. Speaker bios for Turing Fest and other conferences also note MIT Technology Review's Innovators Under 35 recognition and advisory work in Washington.

Founding Lamini

With Greg Diamos she founded Lamini to give enterprises a path to train and serve custom models on private data. The company has raised on the order of $25M and collected startup awards for generative AI infrastructure. Product talk stays on LLM engineering for domain accuracy rather than consumer chat.

On teaching the industry to fine-tune

Her public teaching and company narrative reinforce the same idea: fine-tuning is a practical skill enterprises can operationalize. That educator-founder combination is how she explains Lamini's audience of teams who already know prompting is not enough for regulated or specialized domains.