Summary
Christopher Pondoc is a founding member of technical staff and software engineer with nine years of experience building research-driven products and systems across startups, enterprise, and academic labs in the San Francisco Bay Area. He bridges applied AI and systems engineering—contributing to Stanford research groups (SAIL, HCI, Intelligent Systems) while shipping production software at companies like Coinbase, Splunk, and Simile. A serial early-stage contributor, he’s worked in venture and founder roles (Vita EDO, University Founder Fellow at Unusual Ventures) and has hands-on data and infrastructure experience from SRI and the National Cancer Institute. Currently completing MS and BS studies in Computer Science at Stanford with a reinforcement learning tutorial at Oxford, he combines rigorous academic training with practical product delivery and an appetite for translating research prototypes into deployed systems.
8 years of coding experience
4 years of employment as a software developer
Study Abroad Tutorial in Reinforcement Learning, Study Abroad Tutorial in Reinforcement Learning at University of Oxford
Master of Science - MS Computer Science, Master of Science - MS Computer Science at Stanford University
English, Tagalog