Glendon Holst is a Senior Software Developer and ML engineer with 12 years of experience bridging scientific research and production software, currently supporting advanced workflows at AbCellera from Vancouver. He specializes in deep learning and scientific visualization on HPC systems, having built GPU-optimized environments, in-situ visualization shims, and distributed training best practices while working at KAUST. His background ranges from AI programming on AAA game titles to developing image segmentation and multi-threaded processing tools for large EM stacks, demonstrating a rare mix of performance-oriented C++ systems work and Python-based ML tooling. Glendon also has experience delivering hands-on training and presenting at international HPC/AI conferences, reflecting strong communication alongside technical depth.
11 years of coding experience
15 years of employment as a software developer
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at The University of British Columbia
Contributions:18 pushes, 1 branch in 4 years 9 months
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