Summary
Andy Tang is a machine learning and robotics researcher-engineer with nine years of hands-on experience building scalable, verifiable ML systems and production infrastructure. Currently a Student Researcher at Stanford SAIL, he co-led ICRA and CoRL projects applying LLM reasoning and long-context techniques to improve robotic policy selection and robustness. His internships span Databricks, Genesis Therapeutics, Replit, and Cloudflare, where he moved models and services from prototype to high-performance, observable production (including a 40x serverless inference speedup and 96% API latency reduction). Andy combines deep research rigor—perfect 4.0 CS degrees from Stanford—with adventurous, interdisciplinary tinkering (from sandcastle robots to translating ancient Chinese texts), and a record of scaling data collection and analysis for conservation and drug-discovery pipelines.
9 years of coding experience
3 years of employment as a software developer
High School Diploma, High School Diploma at Illinois Mathematics and Science Academy
Master's degree, Computer Science, 4.0, Master's degree, Computer Science, 4.0 at Stanford University