Summary
Justin Lee is an applied AI engineer with 12 years of hands-on experience building ML systems and production services, currently working on edge transformer optimization and set to intern at OpenAI. He has driven measurable gains in academic and product settings—boosting a text-to-SQL agent by 267% on a Spider2-snow benchmark, improving LLM explanation methods presented at NeurIPS, and increasing user engagement by 25% through TTS and summarization features. Justin’s background spans AI research, backend engineering, and embedded security, with practical wins like multiprocessing and load-balancing deployments for YC-backed startups and recognized contributions to BearSSL debugging. Based in San Diego, he blends research rigor with product-first execution, often connecting retrieval/RAG, prompt tuning, and efficient inference to ship scalable solutions. Unusually for an engineer at his level, he’s also an active electronic music producer, bringing a creative sensibility to system design and experimentation.
12 years of coding experience
1 year of employment as a software developer
Mt. Carmel High School
University of California, Los Angeles