Saad Jamal

Machine‑learning infrastructure and systems engineer: Saad has multiple roles engineering ML training and deployment pipelines — he worked on video model eval and training infra at Tesla Autopilot, contributed to Nuro's model‑compiler efforts, and appears on Essential AI's dataset work, showing strengths in model training, compiler/optimization, and infra engineering. ycombinator+2

Founder & product‑focused CTO building AI creative products: As co‑founder and technical lead at Claybird (YC F25), Saad is building Claybird Agent to produce studio‑quality, personalized AI video ads — combining ML model work with product and production craft to ship a customer‑facing ad studio pipeline. claybird+2

Research and academic experience in human factors and data science: Saad's earlier work includes research scholarship at NASA Ames and project work while a student at UC Berkeley, indicating experience with empirical research, data collection, and human‑factors analysis. nasa+1

Public communicator and community participant: Saad posts about product, technical work, and personal reflections on X and engages with university / community organizations (e.g., Cal Muslim Alumni), suggesting active public engagement and community leadership. x+1