End-to-End DevOps Implementation on a Full-Stack Application with best practices
Medical RAG Question-Answering System built using LangChain, FAISS vector store, PyPDF, and Streamlit. Powered by Mistral open-source LLMs (HuggingFace) with custom context-aware chains. Includes a production-grade LLMOps/AIOps pipeline using Docker, Jenkins CI/CD, Aqua Trivy security scanning, and automated deployment on AWS App Runner.
🚀 Expose your LangChain agents as services with zero configuration; turn scripts into web services using simple wrappers and no infrastructure setup.
A complete end-to-end automation framework designed for modern QA engineering. Built with a powerful blend of Selenium, TestNG, Cucumber BDD, Page Object Model, Maven, Log4j2, Excel data-driven execution, and Jenkins CI/CD.
Built a production-ready DevOps pipeline for deploying a Flask-based web application
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