Bryan Wang is a Machine Learning Engineer with eight years of experience, currently building state-of-the-art ranking and retrieval models for Facebook and Instagram Reels at Meta. He has practical ML engineering and full-stack experience from internships at YouTube, Google, and Zoom, and a research background from Princeton in software-defined networking. Comfortable in Python-driven ML workflows, he’s actively learning NLP and LLMs through Hugging Face and applies quantitative interests like Modern Portfolio Theory to problem solving. Bryan’s work spans production model launches and low-level systems research, reflecting a rare blend of product-focused engineering and academic rigor. Based in Chicago, he’s an eager builder who seeks the next big challenge at the intersection of large-scale systems and applied machine learning.
Contributions:8 commits, 7 pushes, 1 branch in 8 months
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