I'm Navin, a third-year undergraduate at NIT Trichy.
I build AI-powered products and full-stack systems, with a strong interest in machine learning, backend engineering, and turning ideas into products that actually work.
I enjoy taking projects from:
Idea
↓
Architecture
↓
Prototype
↓
AI / Backend
↓
Deployment
↓
Users
Build fast. Learn by shipping. Make things useful.
I work with machine learning and modern AI systems, particularly around:
- Deep Learning
- Generative AI
- LLM-powered applications
- Graph Neural Networks
- Scientific ML
- Material Informatics
I enjoy building complete products rather than isolated demos.
Frontend → API → Backend → Database → Queue → AI → Deployment
I'm particularly interested in:
- Backend architecture
- API design
- Authentication & authorization
- Async/background processing
- Databases & caching
- Docker & cloud deployment
- Production-ready systems
AI-powered visual learning
An AI system that turns questions into dynamically generated educational animation videos.
Question
↓
LLM reasoning
↓
Code generation
↓
Manim
↓
Rendered explanation
Next.js · FastAPI · Python · Celery · Redis · Gemini · Manim
Snapchat-style Lost & Found
A social, location-oriented lost-and-found platform designed for campuses, tech parks, malls, and other large communities.
Users can post lost/found items, discover nearby reports, and use AI-powered image understanding to help identify potential matches.
React · Next.js · Node.js · MongoDB · Gemini
Smart campus electric buggy tracking
A platform for tracking campus electric buggies and notifying users when a buggy is approaching or available.
Electric Buggy
↓
Live Location
↓
Ampway
↓
User Notifications
Built with a focus on real-time tracking, notifications, and campus mobility.
AI Engineering
│
├── Deep Learning
├── Generative AI
├── LLM Applications
├── Graph Neural Networks
└── Scientific ML
└── Material Informatics
Software Engineering
│
├── System Design
├── Backend Architecture
├── Distributed Systems
└── Production ML Systems
