Lexy Li is a software engineer and UC Berkeley undergraduate double-majoring in Computer Science and Data Science, currently working at Meta with a strong focus on machine learning and front-end design. She has practical experience building user-facing iOS features for Instagram Reels and developing simulation-driven “smart” hospital systems that optimize resource allocation and workflow. A seasoned TA and researcher, Lexy has taught large CS courses, hand-coded and modeled natural language datasets, and applied doc2vec and TensorFlow to real-world NLP problems. Her background blends product-minded frontend engineering with quantitative ML research, and she brings an unusually broad early-career portfolio spanning industry, academic research, and student leadership.
10 years of coding experience
Bachelor of Arts - BA, Computer Science and Data Science, 3.94, Bachelor of Arts - BA, Computer Science and Data Science, 3.94 at University of California, Berkeley
Contributions:268 commits, 10 pushes in 2 years 7 months
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