Senthil Nadar

About Senthil Nadar

AI-Driven QA Architect | Staff SDET | Engineering Productivity I build systems that make engineering teams faster, not just tests that validate them. With 10+ years of experience, I design and scale test infrastructure, debugging platforms, and observability-driven quality systems across distributed AdTech environments. At scale, my work has: Reduced regression execution time by 80% through distributed automation platforms Scaled test coverage to 90%+ across complex, multi-environment systems Accelerated CI/CD pipelines (15 → 3 mins) via parallel execution and containerized infrastructure I focus on platform-level quality engineering, spanning UI, API, performance, and data validation layers — with deep expertise in Playwright, CI/CD, and large-scale system validation. Beyond traditional QA, I build engineering productivity systems: Developed AI-powered diagnostics platforms (LLM + RAG) enabling self-serve debugging across ad-serving pipelines Built an AI-driven MR automation system using GitLab MCP + Claude Code, reducing MR setup time by 90% and saving 3+ hours/day across a 20+ engineer team. Built browser-based debugging systems (Chrome DevTools extensions) for network interception, request manipulation, and deep system analysis Engineered distributed QA infrastructure across 30+ environments with real-time observability (Kafka-driven insights) Designed agentic AI systems integrating tools (Gmail, Calendar, messaging) for intelligent workflow automation My focus: Test infrastructure & platform engineering Observability-driven debugging systems AI-assisted quality and diagnostics Distributed systems validation I’m currently exploring Staff SDET / QA Architect / Engineering Productivity roles where I can build platforms that scale quality, debugging, and developer velocity across teams. Open to India & global remote opportunities

Experience

1. Manager in Test

   Media.net

   Jan 2024 — Present

   Driving engineering productivity by building AI-powered test infrastructure, debugging platforms, and observability systems for large-scale AdTech environments- Reduced regression effort by 80% and scaled test coverage to 90%+ across distributed systems- Accelerated CI/CD pipelines by 80%(15 → 3 mins) using parallel execution and containerized infrastructure- Enabled validation across 30+ environments / 31+ servers supporting complex production-scale workflows.Platform & Infrastructure- Built a unified test platform spanning UI, API, performance, and data validation layers- Developed Playwright-based distributed frameworks with network interception, HAR validation, and cross-browser execution- Designed microservices-based automation systems (Node.js) for orchestration, execution, and real-time processing.Observability & Debugging Systems- Built browser-based debugging platforms (Chrome DevTools extensions) for network interception, request manipulation, and deep system analysis- Enabled real-time observability (Kafka-driven insights) for faster root cause analysis across ad-serving pipelines.AI-Powered Engineering Systems- Developed AI-driven diagnostics platforms (LLM + RAG) enabling self-serve debugging and reducing engineering dependency- Built agentic AI systems with tool orchestration (MCP-style architecture) for workflow automation across internal tools- Designed real-time AI interfaces with streaming responses and context-aware insights.Leadership- Led and scaled a team of 10 engineers, driving platform-level quality strategy across distributed systems- Owned hiring, mentorship, and engineering best practices across automation and test infrastructure.

Education

• University of Mumbai

  Bachelor's degree, Information Technology

  2007 — 2010

• Sardar Patel College of Engineering (SPCE),Mumbai

  Master of Computer Applications, Computer Programming, Specific Applications

Skills

• Java
• Microsoft Office
• Jsp
• Windows
• C#
• Javascript
• Testing
• C++
• Html
• Sql
• Linux
• Css
• C
• Programming