Headline

AI/ML & Gen AI Developer | NLP | Full-Stack Engineer (Python & MERN stack) | Git/GitHub

About

Full-stack developer specializing in LLM systems, Retrieval-Augmented Generation (RAG), and applied machine learning. I’m a Computer Science graduate building full-stack systems with a focus on applied AI and LLM-powered architectures. My work includes developing an enterprise-grade Retrieval-Augmented Generation (RAG) system with semantic chunking, embedding caching, and similarity-gated retrieval using FAISS and GPT-4, designed to generate verifiable, source-backed responses from unstructured documents (PDF, DOCX). I’ve also built machine learning and computer vision systems, including a handwritten character recognition pipeline using CNNs with OpenCV-based segmentation, and a real-time neural network SMS classifier achieving 97%+ accuracy. On the product side, I develop full-stack applications using Next.js, React, and TypeScript, with experience building real-time, analytics-driven platforms and scalable backend systems. My core focus is on designing systems that combine LLMs, retrieval pipelines, and real-time data processing to solve practical problems.

Location

India

Education

Bachelor's in Computer Application, Computer Engineering, Indira Gandhi National Open University

8th, Saraswati Vidhya Mandir