Kun Su is a Senior Software Engineer at Google Research with nine years of experience bridging academic research and production ML systems. He holds a PhD in Electrical and Computer Engineering from the University of Washington and has focused on multi-modal learning, computer vision, audio/music applications, and recommender systems throughout internships and research roles at Google, MIT-IBM Watson AI Lab, and Adobe. Kun’s work moves from theory to practice—publishing and prototyping research during his PhD while shipping models and features at Google. Based in Mountain View, he combines deep signal-processing intuition from audio research with large-scale engineering to tackle cross-modal problems. He maintains an active research portfolio and personal website documenting projects that blend creativity in music/audio with rigorous ML methodology.
9 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy - PhD Electrical and Computer Engineering, Doctor of Philosophy - PhD Electrical and Computer Engineering at University of Washington
Bachelor of Science (B.S.) Electrical and Electronics Engineering, Bachelor of Science (B.S.) Electrical and Electronics Engineering at Rensselaer Polytechnic Institute
Contributions:74 pushes, 1 branch in 3 years 6 months
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