Summary
Amy Zhong is a software engineer with 10 years of experience building user-focused systems across iOS, front-end, back-end, and machine learning pipelines. A Harvey Mudd CS & Math graduate, she combines a strong algorithms and systems foundation with industry experience at Apple and Coinbase and academic research in ML interpretability and inductive bias. Her work ranges from energy-saving iOS optimizations that extended AirTag battery life by months to engineering scalable, reproducible ML pipelines and caching layers for instruction-tuned LLMs. She excels at shipping production features and running rigorous field experiments and stress tests, often bridging research and product teams. Based in San Francisco, she brings curiosity-driven collaboration and a track record of turning ML research into practical, auditable systems. An understated strength is her fluency moving between low-level optimizations and high-level model workflows, making her effective across the full stack.
10 years of coding experience
3 years of employment as a software developer
High School Diploma, High School Diploma at The Webb Schools
Bachelor of Science - BS, Computer Science and Mathematics, Bachelor of Science - BS, Computer Science and Mathematics at Harvey Mudd College