Leading AI-powered quality assurance innovation with 14+ years of experience in automation, GenAI, and scalable testing frameworks. Advancing national infrastructure in aviation, healthcare, and financial services.
Proposed a multi-task, end-to-end deep neural network architecture that jointly predicts human trajectories and activities from video data, achieving state-of-the-art results on benchmark datasets.
Introduced a reusable Selenium-TestNG framework integrated with ExtentReports and GitHub Actions, showcasing modular Page Object Model design for improved scalability.
Demonstrated the design of a RAG assistant specialized for QA engineers, combining LangChain, HuggingFace embeddings, and ChromaDB for explainable guidance.
Published a machine learning approach to forecast defect-prone modules using historical logs and test metrics, highlighting measurable reductions in defect leakage.
Introduced a public health Q&A assistant built on RAG principles for delivering patient-friendly, explainable answers using trusted sources from WHO, NIH, and CDC.