Projects

A multi-agent, hybrid rule-based + LLM orchestration system that generates structured manual test cases from Azure DevOps user stories. Deterministic scaffolding handles structure, while Gemini-powered LLM correction and ChromaDB RAG enforce high-quality, consistent steps with automated upload to ADO Test Plans.

A time-series trading application powered by RL-style decision logic and forecasting that doubles as an adversarial UI testbed. The frontend is intentionally volatile (mutating DOM, shifting locators) to create a realistic, hostile environment for validating the self-healing Playwright locators and LLM+RAG test generation pipeline in ai-test-gen.