Andrew Pan is a software engineer in New York with nine years of experience building production AI/ML systems, currently contributing to Generative AI and the Gemini API at Google. He has shipped LLM tokenization endpoints and led monetization work for paid tiers, pairing product impact with deep systems engineering. His earlier Google Cloud internship drove IAM improvements and GA launches that improved security for millions of users. A tinkerer and explorer by nature, he bridges research-forward model experimentation with pragmatic performance and deployment optimizations. He graduated NYU CS with a 3.88 GPA and thrives on collaborative knowledge-sharing across the AI community. Outside the obvious technical wins, he favors unconventional approaches and enjoys seeking “the road not normally taken” to unlock surprising solutions.
9 years of coding experience
Bachelor of Science - BS, Computer Science, 3.88/4.00, Bachelor of Science - BS, Computer Science, 3.88/4.00 at New York University
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