Shubhangi Shukla

Deployed open-source LLM models and Vector databases like ChromaDB, Qdrant etc. using Docker. Documented system configurations, processes, and troubleshooting while managing code via Git. Implemented Micro Frontend (MFE) architecture using Webpack Module Federation in Angular, enabling independent deployment and scaling of UI modules across GenAI applications. Architected advanced Retrieval-Augmented Generation (RAG) workflows using LangChain components (like text splitters, document loaders) and embedding models (OpenAI, Bedrock), integrating advanced retrieval techniques like RAG-Fusion, HYDE, and knowledge graphs to boost information retrieval accuracy by 25%. Worked on Agentic AI frameworks by integrating autonomous agents using tools like LangGraph, CrewAI and custom agent orchestration logic for multi-step task execution. Integrated third-party APIs and libraries with TypeScript to enhance functionality and performance. Working for a insurance client where daily work includes to handle the incident and deploy the workaround to the server. Collaborated in Agile/Scrum teams to deliver iterative, customer-focused solutions with continuous feedback and improvement. Worked on deve