Khanin Udomchoksakul is a Senior Deep Learning Software Engineer with 9 years of experience applying deep learning, computer vision, and MLOps to production problems across industry and research. He has led ML deployments for real-time retail analytics, optimized GPU kernels for ML workloads at AMD, and published research at Carnegie Mellon showing up to 2x performance gains on BLIS matrix multiplication through parallelism-aware methods. Comfortable bridging research and production, he designs sustainable MLOps architectures that balance performance and cost while delivering reliable CI/CD for models. His background in electrical and computer engineering and hands-on experience with shop-floor automation give him a pragmatic systems perspective that informs both model and infrastructure choices.
9 years of coding experience
3 years of employment as a software developer
Bachelor's Science, Electrical and Computer Engineering, Bachelor's Science, Electrical and Computer Engineering at Oregon State University
Master of Science - MS, Electrical and Computer Engineering, Master of Science - MS, Electrical and Computer Engineering at Carnegie Mellon University
Contributions:39 commits, 7 pushes, 1 branch in 1 month
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Khanin Udomchoksakul - Senior Deep Learning Software Engineer at AMD