Summary
Jack Zhang is a venture partner and early-stage operator based in the San Francisco Bay Area with nine years of experience building ML-enabled products and infrastructure. He blends hands-on engineering—shipping initial AI product iterations at Hydrus.ai and contributing to distributed training and runtime work during internships at Databricks Mosaic Research—with venture sourcing and founder support at Contrary. A Princeton CS student and former teaching assistant, Jack pairs rigorous academic training in discrete computation with practical experience in cluster diagnostics, regression testing, and ML systems. He’s actively learning cutting-edge ML/systems research at dao-lab.ai and is especially interested in Princeton‑area founders and technical teams. Colleagues would describe him as humble, studious, and effective at turning early research ideas into production-ready experiments.
8 years of coding experience