Muhammad Uzair
@muhammaduzair11
Senior Software Test Engineer specializing in automation, API testing, and CI/CD-driven quality improvements.
What I'm looking for
I am a Senior Software Test Engineer with five years of experience building scalable automation frameworks using Cypress, Cucumber (BDD), Pytest, Playwright and integrating CI/CD with GitHub Actions to accelerate releases and improve quality.
I have driven measurable results — achieving faster test execution, reduced manual testing, and higher user satisfaction through visual testing (Percy), performance testing (k6, JMeter), and an AI-based prompt validation framework that significantly cut manual review time.
I collaborate in Agile teams, lead sprint planning and release cycles, and use tools like Postman/Newman, Sentry, Mixpanel, BrowserStack and Docker to ensure reliable, performant releases for enterprise clients.
Experience
Work history, roles, and key accomplishments
Senior Software Test Engineer
Relevic
Nov 2024 - Present (1 year 1 month)
Achieved 70% faster test execution with Cypress (BDD & POM), reduced manual testing by 50% and accelerated release cycles by 40%; implemented visual testing (Percy) to cut UI defects by 50% and automated AI prompt validation to improve output reliability by 80%.
Software Quality Assurance Engineer
Unlayer
Sep 2021 - Oct 2024 (3 years 1 month)
Led API automation with Postman/Newman and built Cypress regression suites that reduced release bugs by 25%; performed performance testing (JMeter, k6) to improve system performance by 40% for enterprise clients.
Education
Degrees, certifications, and relevant coursework
FAST National University of Computer and Emerging Sciences
Bachelor of Science, Computer Science
2016 - 2021
Activities and societies: Chairperson, ACM Student Chapter; Student Chair, 15th International Conference on Emerging Technologies (ICET'19).
Bachelor of Science in Computer Science with coursework in Software Engineering, Database Systems, Machine Learning, NLP, and Data Structures; completed a capstone project on course content forecasting using ML and NLP techniques.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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