8+
YEARS ENGINEERING
Building resilient quality systems.
01 / 058+ years building quality into modern software — from API and UI automation to AI-assisted engineering and CI/CD feedback loops.

Quality Engineering Lead
SDET · AI-Driven Test Architect · GenAI Specialist
About Me
A systems-first approach to automation, AI, and dependable delivery.

Quality Engineering Lead
Mahesh Wankhede
Professional
I build intelligent, AI-augmented test automation systems that help engineering teams ship faster with confidence.
I'm a Quality Engineering Lead who treats QA as systems engineering — not checkbox testing. Over 8 years, I've moved from writing Selenium suites to architecting AI-augmented automation: production MCP integrations, Playwright frameworks at scale, and GenAI workflows that cut manual effort across wagering, healthcare, and digital platforms. I research first, build POCs fast, and ship what actually works in production.
Based in
Pune, India
Remote
Open worldwide
Currently
SDET/QE Lead
Education
Master in CS · CGPA 9.1
currently building →
Recognition
03 / impact at scale
SCROLL TO CHANGE THE SIGNAL
8+
YEARS ENGINEERING
Building resilient quality systems.
01 / 0520K+
TEST CASES
Coverage designed for real delivery pressure.
02 / 052K+
APIs AUTOMATED
Confidence across complex service ecosystems.
03 / 0596%+
PASS RATE
Reliable automation with useful feedback.
04 / 0530+
FRAMEWORKS
Architecture that scales with teams.
05 / 058+
YEARS ENGINEERING
Building resilient quality systems.
20K+
TEST CASES
Coverage designed for real delivery pressure.
2K+
APIs AUTOMATED
Confidence across complex service ecosystems.
96%+
PASS RATE
Reliable automation with useful feedback.
30+
FRAMEWORKS
Architecture that scales with teams.
Capabilities
Interactive capability map — hover any skill to see where I've used it in production.
Generative AI & LLMs
MCP (Model Context Protocol)
Prompt Engineering
GitHub Copilot & Cursor
RAG-based QA Tooling
Multi-agent Workflows
AI Innovation Layer
MCP Integrations
ProductionProduction TestRail → Slack pipeline. Natural-language API queries for live test data.
RAG QA Knowledge
POC → ProdContextual retrieval over internal docs — testers query knowledge bases conversationally.
GenAI Test Workflows
Active R&DAI-assisted test generation, GCP log analysis, and automated PR reviews in CI.
02 / AI × quality engineering
SCROLL TO MOVE THROUGH THE SYSTEM
QUALITY
IN MOTION.
AI-enabled applications and MCP integrations turn product context into a continuous quality loop.
Context becomes a quality strategy.
Stories · acceptance criteria · API contracts
Risk and coverage become visible earlier.
Risk mapping · edge cases · test intent
Signals become executable scenarios.
Test data · assertions · coverage models
Confidence moves into the delivery flow.
Playwright · API suites · event validation
Every change gets fast, useful feedback.
Pipelines · quality gates · release signals
The team learns before production does.
Traceable results · trends · team visibility
Context becomes a quality strategy.
Stories · acceptance criteria · API contracts
Risk and coverage become visible earlier.
Risk mapping · edge cases · test intent
Signals become executable scenarios.
Test data · assertions · coverage models
Confidence moves into the delivery flow.
Playwright · API suites · event validation
Every change gets fast, useful feedback.
Pipelines · quality gates · release signals
The team learns before production does.
Traceable results · trends · team visibility
Credentials
Industry certifications, verified badges, and continuous upskilling across AI, cloud, and automation.
Coursera
Aug 2026
IBM
Aug 2026
Verify credentialIBM
Aug 2026
Verify credentialIBM
Aug 2026
Verify credentialIBM
Aug 2026
Verify credentialIBM
Aug 2026
Verify credentialIBM
Aug 2026
Verify credentialPackt
Jun 2026
IBM
Jun 2026
Verify credentialFeb 2024
Agile Testing Alliance
Dec 2023
04 / selected work
SCROLL HORIZONTALLY →
Production MCP integration — automated test result publishing & Slack notifications.
Production work / case study available on request
Scalable E2E automation for high-traffic wagering — API + UI with dynamic data loader.
Production work / case study available on request
Practice automation target — HTML grocery list app for test exercises.
TodoMVC test automation sandbox for framework experimentation.
Production MCP integration — automated test result publishing & Slack notifications.
Production work / case study available on request
Scalable E2E automation for high-traffic wagering — API + UI with dynamic data loader.
Production work / case study available on request
Practice automation target — HTML grocery list app for test exercises.
TodoMVC test automation sandbox for framework experimentation.
05 / CAREER ARC
A progression from building tests to designing systems that make quality a continuous engineering signal.
SCROLL TO FOLLOW THE PROGRESSION
Career
Every role tells a story of increasing scope — from writing tests to architecting AI-augmented quality systems.
Received recommendations from colleagues and clients — sourced from my LinkedIn profile.
“I've had the pleasure of collaborating with Mahesh at Publicis Sapient, where he serves as a QA Automation Engineer. Mahesh's expertise in automation testing is truly impressive, and his contributions have significantly enhanced the quality and efficiency of our software development process. He possesses a keen analytical mind and a meticulous attention to detail, which enables him to identify and rectify even the most intricate bugs and issues. Mahesh's dedication to ensuring product excellence is evident in his thorough approach to testing and his proactive attitude towards problem-solving. Moreover, Mahesh is an excellent team player, always willing to share his knowledge and support his colleagues to achieve collective success. I highly recommend Mahesh for his outstanding skills, professionalism, and unwavering commitment to delivering top-notch results.”
Java Developer | Senior Software Developer · Airtel Digital
Worked with Mahesh on the same team
LinkedIn Recommendations
Recommendations on LinkedIn from people who've worked with me — managers, peers, and clients.
Writing
Thoughts on AI, QA automation, and staying relevant — published on Medium.
The rise of Generative AI has transformed the IT industry, sparking both excitement and fear among developers, testers, and tech professionals.
Am I falling behind? A honest look at how QA engineers can stay relevant as AI reshapes testing.
Which AI tool is right for your workflow? A practical comparison for engineering teams.
Exploring the future of autonomous AI in software testing — promise, pitfalls, and pragmatism.