Sriparno Das
@sriparnodas
SDET & QA Automation Engineer driving faster, reliable releases with AI-driven test automation.
What I'm looking for
I am an SDET and QA Automation Engineer with 3+ years of hands-on experience building scalable test automation frameworks for web, mobile, and API testing. I combine strong programming skills in Java and Python with modern automation tools to deliver reliable, maintainable test suites.
At HCLTech, I built AI-driven test-case generation and validation frameworks that increased test coverage by 30% and cut manual effort significantly. I automated thousands of Selenium/Appium scripts, implemented parallel execution to reduce runtime, and developed utilities to improve locator stability and link validation.
My work emphasizes CI/CD integration, actionable reporting, and cross-platform consistency—using Jenkins, Docker, AWS, TestNG, and BDD practices to enable continuous feedback and faster releases. I also apply generative AI and LLM tools like GitHub Copilot, ChatGPT, Gemini, and AIForce to accelerate test design and maintenance.
I bring a pragmatic, results-oriented approach to QA with experience in manual and automated testing, strong collaboration in Agile teams, and a focus on reducing defect leakage and execution time while improving coverage and reliability.
Experience
Work history, roles, and key accomplishments
Senior Software Engineer
HCLTech
Mar 2024 - Present (1 year 7 months)
Built an AI-driven test case generation framework that improved test coverage by 30% and automated 2,000+ Selenium/Appium test scripts, reducing manual effort by 40+ hours/week and increasing test reliability.
Automated reporting tasks with Excel macros saving 5+ hours/week and produced data analyses and visualizations to support senior management decision-making.
Education
Degrees, certifications, and relevant coursework
KIIT Deemed University
Bachelor of Technology, Electronics and Electrical Engineering
2018 - 2022
Grade: 7.99
Bachelor of Technology in Electronics and Electrical Engineering completed with a CGPA of 7.99, covering core EEE subjects and engineering projects.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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