Wonpyo Park is a software engineer with nine years of experience at the intersection of machine learning research and production systems, currently working on Gemini inference optimizations at Google in Mountain View. He has deep expertise in neural network quantization and CoreML integration for TensorFlow, and previously applied transformer-based representation learning to AI-driven drug discovery with a spotlight paper at ICLR MLDD. Earlier industry roles include computer vision research and production features at Kakao (auto-blurring and recommendation engines) and a Microsoft research internship with a CVPR publication and top-intern recognition. Comfortable moving models from papers into scalable systems, he blends academic rigor from a master's in Computer Vision & Machine Learning with hands-on backend and deployment experience. Notably, his work spans both high-impact research publications and practical engineering that ships to users.
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