Quan Tu
SSS I at DMV.ORG
Sacramento, California, United States
Summary
🤩
Rockstar🎓
Top SchoolQuan Tu is a pragmatic software and test automation engineer with a background in electrical and electronics engineering and over a decade of hands-on experience driving efficiency improvements in high-volume hardware and software environments. At Intel he led LEAN Six Sigma initiatives that raised DUT utilization and produced measurable cost savings, and he now applies that same metric-driven approach to automate and certify DMV.org applications using HP testing suites and ALM. Comfortable coding in Perl, C/C++, SQL and working across UNIX/Linux and Windows, he pairs scripting and CAD/Simulink familiarity to bridge hardware test insight with software quality engineering. Known for translating process flowcharts and JMP/Visio analyses into actionable test plans, he focuses on reducing variation and quantifying ROI at the hourly and annual levels. Based in Sacramento, Quan blends methodical troubleshooting with a knack for reusable automation frameworks that improve production readiness. An uncommon strength is his combined experience in device test optimization and application-level automation, enabling cross-disciplinary solutions that save time and money.
4 years of coding experience
California State University, Sacramento
English, Chinese
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (6)
nlp4
deep-learning3
machine-learning3
python3
pytorch3
natural-language-processing3
Programming languages (2)
Github contributions (5)
morecry/With-Poetry
Dec 2021 - Dec 2021
Contributions:43 commits, 39 pushes, 1 branch in 3 days
morecry/CharacterChat
Aug 2023 - Jul 2024
Contributions:16 pushes, 1 branch, 2 comments in 10 months
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