π I design and build intelligent, autonomous test automation systems by combining traditional QA engineering, data science, and Agentic AI / LLM-driven workflows. My focus is on creating self-optimizing, scalable, and resilient quality engineering platforms for modern software systems.
- π€ Developing Agentic AIβdriven test automation
- π§ͺ AI-assisted test generation, prioritization & optimization
- π Data-driven & statistical testing strategies for smarter quality insights
- π Web & REST API automation at scale
- Building autonomous QA agents using LLMs with planning, memory, and tool-use capabilities
- Experimenting with agent orchestration frameworks (e.g., LangGraph-style workflows, CrewAI, AutoGen) for collaborative QA tasks
- Self-healing and adaptive automation frameworks
Quality engineering should be adaptive, data-informed, and intelligent β not just automated.
π GitHub Project Index (Click to Expand)
- ai-test-automation-framework
- genai-agentic-ai-playground
- agentic-ai-framework
- multi-agent-rag-vectordb
- ai-test-masters
- deta-science
- Selenium4WebAutomation
- RestAPIAutomation
- RestAssured-APIAutomation
- robot-test-automation
- PythonAutomationFramework
- vibium-agentkit
- pure-claw-code
- oh-my-claudecode
- claude-code-lad
- everything-claude-code


