Sayan Dasgupta

QA Manager

Pune, Maharashtra, India7 yrs 10 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Achieved over 95% test coverage consistently.
Reduced defect slippage by 30% through innovative tools.
Accelerated release time to under 3 days.

Stackforce AI infers this person is a Software QA Engineer specializing in Test Automation and AI-driven quality assurance in the SaaS industry.

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Skills

Core Skills

Test AutomationAiSoftware Testing

Other Skills

ADBAdaptavistAgile MethodologiesAndroid StudioAppiumArtificial Intelligence (AI)Automotive SPICE (ASPICE)Behavior-Driven Development (BDD)BengaliCC (Programming Language)CVSCommunicationConfluenceContinuous Integration (CI)

About

Passionate Software QA Engineer with 7+ years of proven success driving next-level test automation, AI-powered quality analytics, and leadership in fast-paced product environments. Expert in crafting scalable test frameworks and streamlining release pipelines to achieve 95%+ test coverage, slash defect slippage by 30%, and accelerate time-to-market to under 3 days. I thrive on transforming quality assurance through innovative automation tools—including advanced LLM-powered failure analysis—and fostering collaborative teams that deliver reliable, high-quality software. Seeking senior QA leadership or SDET roles where I can blend my deep technical skills and strategic vision to boost product excellence and team performance. Let’s connect if you’re looking for a results-oriented QA professional who elevates quality, efficiency, and innovation.

Experience

7 yrs 10 mos

Total Experience

3 yrs 11 mos

Average Tenure

5 yrs 4 mos

Current Experience

Cerence ai

Software QA Engineer

Feb 2021 – Present · 5 yrs 4 mos · Pune · Hybrid

Lead testing team efforts for high-impact product releases, consistently achieving over 95% test coverage and accelerating time-to-release to under 3 days through streamlined automated test execution.
Developed and maintained scalable test automation frameworks utilizing Java, Python, Appium, and Pytest for efficient, high-quality test cycles and early defect detection.
Designed and deployed LLM-powered AI tools to analyze nightly build failures, automate Jira ticket creation, and reduce defect slippage by 30%.
Introduced "vibe coding" practices that enhanced code quality and improved development velocity.
Collaborate cross-functionally with development, product, and operations teams to improve testing processes and foster innovation in quality assurance.
Technologies used: Java, Appium, Python, Pytest, Langchain, Ollama, Windsurf, Git, Jenkins, Jira.

JavaAppiumPythonPytestLangchainOllama+5

Wipro limited

Project Engineer

Aug 2018 – Feb 2021 · 2 yrs 6 mos · Pune · Hybrid

Spearheaded migration from manual to automated testing, cutting execution time by 70% while reducing defect slippage by 15%.
Executed diverse testing cycles including regression, exploratory, and stress tests based on functional requirements.
Automated defect pre-analysis and Jira ticket creation processes ensuring 100% defect coverage and faster resolution.
Developed internal tools for requirements processing and automated test data generation to feed testing frameworks.
Technologies used: Python, Selenium, CVS, Adaptavist, Microsoft Excel.

PythonSeleniumCVSAdaptavistMicrosoft ExcelTest Automation+1