🚀 Building intelligent test automation using Data Science and Agentic AI | QA Automation | Java, Python, Selenium, API
I specialize in building 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.
- 🤖 Design Agentic AI–driven test automation
- 🧪 AI-assisted test generation, prioritization & optimization
- 📊 Data-driven & statistical testing strategies for smarter quality insights
- 🌐 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
| Domain | Tools & Technologies |
|---|---|
| 💻 Programming Languages |   |
| 🧪 UI Automation |     |
| 📐 Automation Framework Design |    |
| 🔌 API / Web Services Testing |       |
| 📱 Mobile & Cross Browser Testing |    |
| 📊 Test Management & Agile |        |
| 🗄️ Databases |   |
| ⚙️ Build & Dependency Management |     |
| 🚀 CI/CD & DevOps |     |
| 📈 Reporting & Logging |      |
| ☁️ Cloud & Virtualization |   |
| 🔁 Version Control |   |
Quality engineering should be adaptive, data-informed, and intelligent — not just automated.
