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niranjcn/README.md

Typing SVG



🧠 About Me

class Niranj:
    name       = "Niranj C N"
    role       = "Software Engineer"
    location   = "Kerala, India 🇮🇳"
    
    passion    = ["Distributed Systems", "API Design", "ML in Production"]
    currently  = "Building scalable backends & exploring AI-powered systems"
    motto      = "Write code that scales, design systems that last."
 
    def say_hi(self):
        print("Thanks for dropping by! Let's build something impactful 🚀")

I'm a software engineer who thrives at the intersection of clean architecture and real-world impact. I design robust backend systems with FastAPI, ship ML models to production, and architect solutions that handle scale. From blockchain to computer vision — I build things that matter.


⚙️ Tech Stack

〔 Languages 〕

Python JavaScript TypeScript C C++ HTML5 CSS3

〔 Frontend 〕

React Tailwind CSS Vite WordPress

〔 Backend & APIs 〕

FastAPI Node.js Express.js Flask REST API WebSockets

〔 DevOps · SRE · Infrastructure 〕

Docker Linux Nginx Git GitHub Actions Netmiko Cron Google Drive API WhatsApp API

〔 Databases 〕

PostgreSQL MongoDB MySQL Redis SQLite

〔 Security 〕

JWT CSRF Protection RBAC Hashing OAuth2

〔 AI · ML · Computer Vision 〕

PyTorch OpenCV scikit-learn YOLOv8 XGBoost Random Forest Roboflow NumPy Pandas Matplotlib

〔 Blockchain 〕

Hyperledger Fabric Smart Contracts

〔 Tools & Platforms 〕

VS Code Postman Figma GitHub Netlify Vercel

🚀 Featured Projects

### 🔗 TRACIENT > **Blockchain × Machine Learning**

A decentralized asset tracking platform that fuses blockchain immutability with ML-powered anomaly detection. Designed for high-integrity supply chain transparency.

Stack: Python FastAPI Blockchain ML MongoDB Docker

Impact:

  • ✅ End-to-end tamper-proof audit trails
  • ✅ Real-time anomaly alerts via ML pipeline
  • ✅ Modular microservice architecture
  • 🏆 Presented at RAET'26 — Best Paper Award
### 🚆 Railway Monitoring System > **Computer Vision · Real-Time Safety**

An intelligent railway track surveillance system using YOLOv8 for real-time obstacle detection and hazard classification — built to reduce accidents and automate monitoring.

Stack: Python YOLOv8 OpenCV FastAPI React AWS

Impact:

  • ✅ Real-time object detection at video-stream level
  • ✅ Alert pipeline for detected hazards
  • ✅ Dashboard with live feed & detection logs
  • 📍 Deployable on edge devices

🏆 Achievements & Highlights


Year 🏆 Achievement 🚀 Impact
2026 Best Paper Award TRACIENT @ RAET'26 National Conference
2025 Production Deployment Multi-NOC DNS & Backup System @ Kerala Vision Broadband
2025 Conference Presentation Railway Platform Monitoring @ RAET'25
2024 Production Website step4eco.uk (UK ECO4 Scheme Provider)
2024 Young Innovators Program Selected by Govt. of Kerala
2024 Tech Lead Built Techno-Cultural fest platforms for 500+ users

📊 GITHUB STATS


GitHub Stats

Top Languages



GitHub Streak

GitHub contribution snake animation



🤝 Connect With Me

   

💼 Open to: Backend Engineering roles, System Design collaborations, ML infrastructure projects



⚡ Crafted with precision by Niranj C N — because details matter.

Pinned Loading

  1. tracient tracient Public

    TRACIENT is a blockchain-powered welfare intelligence platform using Hyperledger Fabric and AI/ML for income traceability, BPL/APL classification, anomaly detection, and transparent welfare verific…

    Go 2

  2. Distribution-Management-System Distribution-Management-System Public

    A full-stack web application for managing the lifecycle of telecom/broadband devices across a multi-tier distribution network. Provides end-to-end visibility and control over device registration, d…

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    Your private AI memory layer — everything you know, instantly searchable.

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    A safe space to share secrets and make connections. ConfessIt features anonymous confessions, a random matchmaking system, customizable digital love notes, and interactive mini-games to connect wit…

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  5. Engram Engram Public

    Spaced repetition DSA tracker for serious interview prep. Log problems, track your solving confidence, and let SM-2 schedule exactly what to review each day — so nothing you've learned ever fades.

    JavaScript 1