Open to AI-Driven Quality Engineering roles

QA Automation Lead building the next generation of AI-driven quality engineering.

11+ years of experience across web, mobile, desktop, and API testing — with deep expertise in automation architecture, CI/CD, cloud platforms, and emerging agentic AI workflows.

QA AutomationAI-Driven TestingAgentic AITest Automation ArchitecturePythonJavaPlaywrightPytestMCP
View My Experience Explore My Work Download Resume
Quality Engineering
AI
Automation
API
Cloud
CI/CD
Testing
Security
Performance
AI + Automation + QAv2.5

// About

Strategic QA Lead & Automation Architect

11 years 6 months of end-to-end testing experience across web, mobile, desktop, and API platforms — now focused on AI-driven Quality Engineering, agentic AI workflows, and intelligent test automation.

11+
Years
Testing & Automation Experience
AI-DLC
Contributor
Quality engineering contribution in AI-DLC teams
Agentic
AI Workflows
MCP, Kiro, Claude, OpenAI Codex, GitHub Copilot
Web • Mobile
API • Desktop
End-to-End quality across platforms

// Expertise

Core technical expertise

A decade of testing depth, expanded with hands-on exploration of agentic AI and intelligent automation.

AI & Agentic Testing

MCP IntegrationAWS KiroClaude SonnetOpenAI CodexGitHub CopilotPrompt EngineeringAgentic AI Workflows

// AI Journey

From Test Automation to AI-Driven Quality Engineering

Building expertise at the intersection of software engineering, quality engineering, and generative & agentic AI.

Software EngineeringQuality EngineeringTest AutomationGenerative AIAgentic AI + Generative AIAgentic AI
  1. Traditional QA
    Manual, functional, regression
  2. Automation Engineering
    Scripted test automation
  3. Automation Architecture
    Scalable frameworks from scratch
  4. AI-Assisted Testing
    GitHub Copilot, Kiro, Claude, Codex
  5. Agentic AI Workflows
    MCP-driven intelligent automation
  6. AI-Driven Quality Engineering
    AI-DLC, self-healing, GenAI QA

What I'm Exploring

Agentic AI workflows
AI-assisted test generation
Intelligent automation
Self-healing test automation
MCP-based automation
AI-driven software development lifecycle
Prompt engineering

Current areas of focus and hands-on learning.

// Experience

Professional experience

  1. 1
  2. 2
  3. 3
  4. 4

// Impact

Selected Impact

35%
Reduction in test suite execution time
40%
Reduction in test suite maintenance overhead
AI-DLC
Quality engineering contribution
MCP + Playwright
Intelligent UI automation POC
MRDR
Multi-region disaster recovery validation
Jenkins + BrowserStack
Automated cross-browser testing
JMeter + Jenkins
Automated performance analytics
OWASP ZAP
Automated security scanning

// Engineering Philosophy

Principles I build by

01.

Quality should move left.

02.

Automation should reduce repetitive engineering effort.

03.

AI should augment engineers, not replace engineering discipline.

04.

Test automation should be scalable, maintainable, and intelligent.

05.

Quality engineering should be part of the software development lifecycle — not an activity at the end.

// Stack

Technology stack

AI
KiroClaude SonnetOpenAI CodexGitHub CopilotMCPPrompt Engineering
Languages
PythonJavaTypeScript
Automation
PytestPlaywrightSeleniumAppiumRest Assured
CI/CD
JenkinsGitHub ActionsGitLab CI
Cloud & Infra
AWSAzureDockerKubernetes
Performance / Security / Observability
JMeterOWASP ZAPVeracodeDataDogKibana
// Education
B.E.
Dayananda Sagar College of Engineering, Bengaluru
July 2010 — August 2014 · 73%
// Certification
Python Certificate
HackerRank
December 2022

// Contact

Let's build better software with intelligent quality engineering.

Interested in QA automation, AI-driven testing, intelligent test engineering, or engineering collaboration?

Email MeConnect on LinkedIn
+91 9552322741impankajkr071@gmail.com