Justin Liu is a machine learning and software engineer with nine years of experience building end-to-end AI systems across computer vision, NLP, and agentic architectures. He combines academic rigor from Harvard and MIT cross-registration with hands-on research at Berkeley, Stanford, and Mass General Brigham—where he developed high-sensitivity medical imaging models and super-resolution GANs for surgical video restoration. Currently collaborating with Google DeepMind on NLU techniques for complex reasoning and joining OpenAI as an intern, he has also shipped distributed inference and agentic RAG prototypes in industry internships. Justin bridges research and product by deploying models in real-world settings (including telemedicine use cases) and bringing venture-facing experience from REMUS Capital, giving him a rare mix of technical depth and startup-stage deal and product insight.
9 years of coding experience
4 years of employment as a software developer
Dual Enrollment Computer Science, Dual Enrollment Computer Science at El Camino College
Cross-Registered Student, Cross-Registered Student at Massachusetts Institute of Technology
Concurrent A.B./S.M. Computer Science, Concurrent A.B./S.M. Computer Science at Harvard University
Contributions:16 PRs, 68 pushes, 17 branches in 11 months
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Justin Liu - Member Of Technical Staff Intern at OpenAI