Luis Hsu
Senior Software Engineer at Ambarella Inc
California, United States
Summary
👤
Senior🎓
Top SchoolLuis Hsu is a Senior Software Engineer based in California with 11 years of experience spanning compiler and virtual machine research, systems software, and full-stack web development. Currently pursuing an MS in Computer Science at UC Irvine, he blends academic research on compilers and runtimes with hands-on production work at Ambarella and a past role at Skymizer focused on compiler technologies. An active open-source contributor, he has improved the WasmEdge WebAssembly runtime—adding ONNC host functions for ML operations and fixing nuanced runtime bugs—demonstrating expertise at the intersection of systems and machine learning workloads. Comfortable across backend, DevOps, and frontend tasks, he brings a rare combination of low-level systems insight and practical product engineering experience.
11 years of coding experience
2 years of employment as a software developer
高中畢業, 普通科, 高中畢業, 普通科 at 國立臺中第一高級中學Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at 美國加州大學爾灣分校Bachelor's degree, Computer Science and Information Engineering, Bachelor's degree, Computer Science and Information Engineering at 國立成功大學
English, 繁體中文(台灣), Hokkien
Github Skills (12)
blazor-webassembly10
rust10
webassembly10
edge-computing9
cloud-native9
c-language8
serverless8
cprogramming-language8
machine-learning7
dockers5
artificial-intelligence5
docker5
Programming languages (12)
Github contributions (5)
WasmEdge/WasmEdge
Nov 2019 - Dec 2019
WasmEdge is a lightweight, high-performance, and extensible WebAssembly runtime for cloud native, edge, and decentralized applications. It powers serverless apps, embedded functions, microservices, smart contracts, and IoT devices.
Role in this project:
Back-end Developer & DevOps Engineer
Back-end Developer & DevOps EngineerContributions:5 commits in 1 month
Contributions summary:Luis primarily focused on enhancing the WebAssembly runtime environment. Their work included implementing and activating ONNC host functions to enable machine learning operations, indicated by modifications to `vm.cpp`. The user also made changes to tools related to command-line arguments and reduced checks within the `ssvm-qitc` tool. Furthermore, they addressed bugs and improved functionality within ONNC host functions, particularly fixing issues related to `unsqueeze` and `globalaveragepool`.
serverlessruntimedecentralizedwasmedgeedge-computing
LuisHsu/Luison
Jun 2016 - Apr 2024
Contributions:2 PRs, 23 pushes, 2 branches in 8 years
compilerprogramming-language
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