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QA Lead | Modern Quality Engineering Leader 🔧 Bridging development and operations through intelligent testing strategies
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
rest-assured-api-automation-framework
June 1, 2026 – Present
Enterprise-grade REST API automation framework built with Java, Rest Assured, TestNG, and Maven. Features layered architecture, multi-environment support, parallel execution, Extent & Allure reporting, and CI/CD integration via GitHub Actions and Jenkins.
View ProjectPlaywright-Test-Automation-Framework
May 29, 2026 – Present
A modular, scalable test automation framework built with Playwright and TypeScript using the Page Object Model (POM) and Module Pattern architecture.
View Projectportfolio
March 15, 2026 – Present
Personal portfolio website for Vishal Chincholi - QA Lead | AI Native Testing & Quality Engineering
View Projectvishalchincholi1
March 15, 2026 – Present
QA Lead | AI Native Testing & Quality Engineering - Professional GitHub Profile
View Projectqa-prompt-library
March 10, 2026 – Present
A comprehensive collection of AI prompts for QA professionals. Includes 18+ use cases covering test design, automation, bug analysis, performance testing, security, and more. Ready-to-use templates for ChatGPT, Claude, and other AI tools.
View Projectai-test-plan-generator
February 10, 2026 – Present
A professional AI agent that generates IEEE 829 compliant test plans with strict anti-hallucination guardrails and RICE-POT prompting strategy.
View Projectjmeter-auth-correlation-patterns
February 4, 2026 – Present
bulletproof token extraction for JMeter load testing - because authentication shouldn't break your tests!
View Projectmock-edu-docs
January 21, 2026 – Present
🎓 Node.js tool to generate realistic Indian educational & govt certificates for QA testing. Creates 40 high-quality PNG docs with authentic formats, real-like student data, and ready API—ideal for testing eligibility logic, document verification, PWA apps, scholarships & govt portals.
View ProjectAnti-Hallucination-Rules
January 19, 2026 – Present
This repository contains guidelines and templates for using Large Language Models (LLMs) to generate software test cases with high precision and zero "hallucinations" (invented or false information).
View ProjectCultural Fit Analysis
The candidate's projects are heavily skewed towards Quality Assurance, Test Automation, and AI-native testing. While these demonstrate strong technical capabilities, the target role is 'Frontend Developer'. There is a significant mismatch between the candidate's demonstrated experience and the target role. The project diversity is high within the QA domain, but lacks breadth in core frontend development technologies and practices. This indicates a low cultural fit for a dedicated frontend development position.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a proactive and innovative approach to problem-solving, particularly in the QA and AI testing domains. The focus on creating tools and frameworks suggests strong operational fit for roles requiring hands-on development and process improvement. However, without psychometric test results, a full assessment of work attitude, stress handling, and team collaboration is not possible.