Brian Chu is a research scientist and machine learning engineer with 13 years of hands-on experience building ML-driven products and backend systems across startups and academia. He’s worked on health and wearables ML at Cardiogram, contributed scalable Scala services and debugging tools for Ads Analytics at Twitter, and taught and did research in deep learning at UC Berkeley (CS 189 and Trevor Darrell’s group). Comfortable across the stack—from iOS prototypes to backend analytics and SLAM experiments—he focuses on applying ML to real-world problems and shipping practical solutions. Based in San Francisco, he pairs rigorous academic training with product-minded engineering, and maintains a personal site showcasing his frontend work and projects.
12 years of coding experience
3 years of employment as a software developer
BA, Computer Science, BA, Computer Science at UC Berkeley
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