I am an AI Full-Stack Developer based in Ranchi, Jharkhand. I build scalable web applications and practical AI systems — from local RAG assistants to computer-vision pipelines and full-stack SaaS products.

Key points:

• Experience — Technology Intern at 366pi Technology (RAG systems + YOLOv8 tree detection)
• Education — MCA (2024–2026) · B.Sc. IT (CGPA 8.12) — Doranda College, Ranchi University
• Focus — Next.js, FastAPI, Vector Databases, Local LLMs, System Design
• Status — Open to Full-Stack & AI internship opportunities

AI-assisted computer vision pipeline for image quality checks, detection, localization and segmentation.

Overview
Built during internship at 366pi Technology. Implements end-to-end validation workflows (quality checks → object detection → localization → segmentation masks → metadata). Designed for reliable tree-tagging data pipelines.

Stack

Local-first Retrieval-Augmented Generation assistant that answers from private documents with source citations.

Overview
Ingests PDF, DOCX, Markdown, CSV and TXT. Uses local embeddings + ChromaDB for retrieval and Ollama/Qwen for grounded answers. Supports re-indexing, citation-backed responses and exportable Word/PDF reports.

Stack

Full-stack AI writing platform with auth, credits, history and subscription billing.

Overview
Google OAuth + email auth, JWT-protected dashboard, generation history, credit-aware usage limits and Stripe checkout/webhooks. Built as a production-ready SaaS architecture.

Stack

Developer matchmaking & networking platform (in progress).

Overview
JWT auth, developer profiles, like/match flows and REST APIs. Frontend built with React + Vite + Tailwind + Redux Toolkit. Focused on clean architecture and scalable matching logic.

Stack

Open to Internships & Collaborations

 

_{Built by Niraj Kumar Dangi}