Simon Shao is a seasoned QA professional with over a decade in software quality assurance and eight years of focused industry experience leading automation efforts across web, API, and data products. He builds and scales Python-based test frameworks (Selenium, Pytest, Requests) and has led teams to migrate CI workflows to GitHub Actions, integrate security scanning, and establish data quality practices with tools like Great Expectations. Comfortable operating across SDLCs and both Agile and Waterfall environments, Simon blends hands-on automation development with strategic QA leadership—founding performance and data-quality teams and improving release confidence at every stage. He pairs technical depth in scripting and tooling with practical cybersecurity insight from a recent Digital Forensics & Cybersecurity master’s, making him effective at reducing risk as well as defects. An understated, hardworking engineer, he often automates tedious processes and brings a pragmatic, metrics-driven approach to elevating QA maturity in fast-moving organizations.
8 years of coding experience
18 years of employment as a software developer
Master's degree Digital Forensics & Cybersecurity, Master's degree Digital Forensics & Cybersecurity at John Jay College (CUNY)
Bachelor of Science (BS) Electrical Engineering and Applied Math, Bachelor of Science (BS) Electrical Engineering and Applied Math at Stony Brook University
Contributions:296 commits, 266 pushes, 1 branch in 4 years
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