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AI × Testing × Open Source
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
qa-bug-triage
April 19, 2026 – Present
A modern RAG workflow for turning messy app reviews into structured, searchable QA bug intelligence.
View Projectvibe-coding-checklist
February 21, 2026 – Present
A full-stack review checklist for evaluating AI-generated applications — covering context, functionality, code quality, security, and deployment readiness.
View Projectagent-skills
January 29, 2026 – Present
AI-powered testing skills for automation frameworks
View Projectselenium-selfhealing-mcp
December 19, 2025 – December 19, 2025
An MCP server that automatically fixes broken Selenium test locators when UI changes occur, reducing test maintenance overhead.
View Projectai-natural-language-tests
December 10, 2025 – Present
Enterprise-grade platform to generate and execute Cypress, Playwright, and WebdriverIO end-to-end tests from natural language requirements.
View ProjectJIRA-QA-Automation-with-AI
December 10, 2025 – Present
Automatically generate BDD test scripts from JIRA stories using AI! This tool leverages OpenAI's language models and LangChain to analyze your JIRA stories and generate comprehensive Gherkin-style acceptance criteria.
View ProjectSeleniumSelfHealing.Reqnroll
December 4, 2025 – Present
Selenium Self-Healing Tests with AI
View Projectllm-qa-assistant
July 19, 2025 – September 1, 2025
Compare and validate QA tasks using 3 local (Ollama) or cloud (Groq API) LLMs side-by-side. Designed for QA automation, test case generation, and bug triage.
View ProjectCultural Fit Analysis
The candidate's projects are heavily focused on AI-driven QA automation and testing, which aligns well with roles requiring innovation in test engineering. However, the target role is 'Frontend Developer', and while there are some frontend technologies (JavaScript, HTML, CSS) in projects like 'llm-qa-assistant', the overall project portfolio leans more towards backend automation and AI/ML. This creates a potential mismatch for a pure frontend role. The candidate's experience level is 0, which suggests a junior profile, but the projects demonstrate advanced technical concepts, indicating a self-starter with significant personal development. The diversity of projects is high within the AI/QA automation domain, but less so for general frontend development.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a strong problem-solving orientation and an innovative approach to QA automation. However, without psychometric test results or interview data, it is difficult to assess soft skills like teamwork, communication, or stress handling.