Pranav Vaid

Pranav Vaid is a founding engineer at Snorkel AI, responsible for developing a new data annotation platform that achieved significant revenue growth in a short time. Prior experience includes research roles at Stanford University, focusing on accelerating diffusion model inference and enhancing automated surgical understanding, with a first author paper presented at MLHC 2023. Internship experience includes work at Lightmatter on efficient training strategies for foundation models and a role as an Innovation Intern at AI2 Incubator, collaborating with early-stage startups. Additionally, Pranav organized logistics for TreeHacks, Stanford's largest hackathon. Pranav Vaid holds both a Bachelor's and Master's degree in Computer Science from Stanford University, specializing in systems and AI tracks, respectively.