Generative AI
LLMs · Prompt Engineering · AI Agents · AI Security · DeepEval
Building intelligent applications with Large Language Models, Retrieval-Augmented Generation, AI Agents, and modern AI pipelines.
Results-driven Generative AI Engineer with hands-on experience designing, building, and deploying production-grade solutions powered by Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and autonomous AI Agents. Architected end-to-end AI pipelines using LangChain, LangGraph, FastAPI, Python, and vector databases, improving retrieval accuracy by up to 35% and cutting manual document review time by over 50% across two production-style projects. Strong foundation in Machine Learning, Deep Learning, NLP, Prompt Engineering, and AI Security, with a proven track record of translating applied research into scalable, measurable, real-world systems.
LLMs · Prompt Engineering · AI Agents · AI Security · DeepEval
RAG · Embeddings · Vector Databases · Semantic Search · BM25 · Reranking
LangChain · LangGraph · Langflow · FastAPI · Node.js · TypeScript
Python · SQL · Machine Learning · Deep Learning · NLP · Git
AI-powered resume screening using MongoDB Atlas Vector Search, Langflow, Mistral Embeddings, Groq LLM, and Node.js/TypeScript.
Document-grounded Q&A system using Node.js, TypeScript, LangChain, Groq LLM, and multi-format document processing.
Developed and deployed LLM applications, end-to-end RAG pipelines, REST API integrations, MongoDB workflows, Langflow automation, and LLM evaluation with DeepEval.
K. Ramakrishnan College of Technology · Oct 2022 – Apr 2026
Open to opportunities where I can build practical Generative AI systems and solve real-world problems.