
Niraj Kumar Dangi
Full-Stack & Applied AI Developer
MCA '26Let's build something remarkable today! I craft private RAG document assistants and real-time computer vision systems paired with thoughtful, production-grade web applications.
Shipping & Commit Overview
Consistent development cadenceCore Engineering Domains
Specialization breakdownAbout Me
Engineer, lifelong builder & problem solver
“I believe the most exciting software sits at the intersection of solid full-stack engineering and practical, local applied AI.”
I'm Niraj Kumar Dangi, an MCA candidate (class of 2026) based in Ranchi, Jharkhand. I build responsive web products and private AI workflows—ranging from local RAG document systems to real-time YOLO object detection.
During my internship at 366Pi Technologies, I contributed to an AI-powered Tree Detection & Localization System, crafting robust image validation and computer vision pipelines. When I'm not coding, I'm exploring new LLM quantization techniques and contributing to open-source developer tooling.
Next.js, Node.js, Postgres & Docker
Computer Vision, YOLO & Image Validation
ChromaDB, Ollama & Local Citations
Available for 2026 Developer Roles
Skills & Tech Stack
Organized in 3 core engineering domains
Frontend
Client & UI ArchitectureBackend + Database
APIs, Services & Data StoresAI
RAG, Local LLMs & Computer VisionFeatured Projects
Applied AI, Computer Vision & Deep-Dive Video Walkthroughs
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AI-powered tree detection and localization system featuring automated drone imagery validation, YOLOv8 segmentation, spatial coordinate mapping, and metadata generation.
Local-first intelligence assistant querying private documents via ChromaDB semantic vector search and returning source-verified answers with PDF/Word export pipelines.
Experience
Professional milestones & technical impact
Technology Intern
Ranchi, Jharkhand, India
- AI Knowledge Assistant: Built a production-ready RAG application using ChromaDB, local embeddings, and Ollama-based LLMs; engineered file ingestion pipelines supporting PDF, DOCX, Markdown, CSV, and TXT.
- Semantic Search & Citations: Implemented vector similarity retrieval, source-cited conversational responses, and automated exportable report generation.
- Tree Detection & Localization System: Contributed to YOLO-based computer vision architecture; engineered strict image-validation pipelines, object localization, instance segmentation, and automated metadata workflows.
- Core Stack: Delivered end-to-end features with FastAPI, Next.js, ChromaDB vector stores, and containerized Docker environments.
Education
Academic foundations & honors
Master of Computer Applications (MCA)
Doranda College, Ranchi University
Ranchi, Jharkhand, IndiaBachelor of Science, Computer Science
Ranchi University, Ranchi
First Class with DistinctionCore fundamentals in algorithms, data structures, database design, and computer networks paired with practical full-stack web engineering (MERN, Next.js) and applied AI integration.
Full-stack social distribution platform addressing food waste and hunger in local communities.
Certifications
Verified industry credentials & technical certificates
Responsive Web Design
Full Stack Web Development 1.0
HTML, CSS & JavaScript for Web Developers
Let’s Connect
Start a conversation & discuss opportunities
I am actively seeking 2026 internships and full-time developer roles in Full-Stack Web Development, Local RAG Systems, and Applied AI. Whether you have a project idea, an open role, or just want to chat about AI architectures, I'd love to connect.
Blog & Technical Notes
Notes, learning journey & technical deep dives
Offline RAG: Zero-Leakage Document Intelligence with ChromaDB & Ollama
Technical Architecture & Deep DiveHow to design an air-gapped, zero-data-leakage semantic search assistant using local ChromaDB vector collections, recursive text chunking, and quantized Ollama models.
Production Computer Vision: YOLOv8 Object Localization & Strict Image Validation
Case Study · 366Pi TechnologiesPractical engineering insights from building the Tree Detection & Localization System during my internship at 366Pi Technologies, addressing real-world aerial imagery challenges.
Hardening Node.js & Express: JWT Cookies, Compound Indexes & Clean Architecture
Backend Systems & API DesignArchitectural blueprint for building resilient, production-ready REST APIs inspired by the DevTinder platform: token security, schema validation, and database performance.
My MCA Journey: Bridging University Theory and Modern Applied AI Engineering
Learning Journey & PhilosophyReflections on pursuing my Master of Computer Applications at Doranda College, Ranchi University, and how foundational computer science accelerates practical software craftsmanship.
GitHub Highlights
Contributions • Public Repositories • Open-Source Activity
Consistent shipping frequency across AI vision, RAG systems & web projects
Open architectures, learning codebases & full-stack applications
Official GitHub Pull Shark badge for merging pull requests into open repos
Spotlight Repositories
Key codebases representing core competenciesAI-powered tree detection, localization & YOLO segmentation with validation pipelines.
Local RAG application searching private documents with ChromaDB & Ollama citations.
Full-stack developer networking platform with JWT cookie auth, Express, and Mongo.
AI writing studio with user subscriptions, token tracking, and Gemini integration.
Continuous shipping mindset: verified code commits, clean branches, and transparent engineering practices that recruiters can inspect directly on GitHub.



