プリンス・ラジ

Prince Raj

Curious about how systems work ; and how to build them better. Full-stack developer exploring scalable architectures and AI/ML.

800+ DSA Solved
1900 LC Rating
3+ Internships
shinobi@portfolio:~
# Welcome to Prince Raj's terminal
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// Character Profile
01

身元確認 — Identity

Who I Am

Third-year ECE undergraduate at NIT Nagaland with a strong focus on full-stack engineering and systems thinking. I enjoy building end-to-end applications — from MERN-stack platforms and REST APIs to real-time systems — with an emphasis on performance, scalability, and clean architecture.

I’m driven by curiosity and a strong inclination toward problem solving, which shapes how I approach development, system design, and emerging areas like AI/ML. I like understanding how things work under the hood and translating that into better, more efficient systems.

React.js
Node.js
Express
MongoDB
MySQL
Docker
JWT / OAuth
Socket.io
FastAPI
REST APIs
Git / GitHub
🏆 LeetCode Knight
1900 rating · Top ~4% globally · 800+ problems
⚔️ Codeforces Specialist
1544 rating · consistent competitive programmer
🎓 NIT Nagaland ECE
CGPA 8.65 / 10.0 · Batch of 2027
// Experience
02
Aug 2025 – Nov 2025
Full Stack Developer Intern
ISKCON Manipur · Remote
  • Built and launched ISKCON Imphal's official website with custom admin dashboard
  • Slashed content update time from 30 mins to under 1 minute
  • Achieved Lighthouse scores of 91/100/81 — performance, accessibility, SEO
  • Handled 2,000+ visitors with responsive, modular architecture
Dec 2024 – Feb 2025
Full Stack Developer Intern
Besto Solutions, Mumbai · Remote
  • Delivered 5+ client websites, improving development efficiency and code quality
  • Translated client requirements into responsive, functional web applications
  • Maintained 100% on-time project delivery across all engagements
Nov 2024 – Feb 2025
Lead Web Developer
Ekarikthin · NIT Nagaland Techno-Cultural Fest
  • Architected the official fest website — zero dependencies, Vanilla JS/HTML5/CSS3
  • Responsive, mobile-first UI that handled traffic from 1,500+ attendees
  • Translated creative requirements into pixel-perfect, interactive UI
// Arsenal
03

Languages

Frameworks & Libraries

Databases

Developer Tools

Concepts

// Project Arsenal
04
01
Smart Attendance App
End-to-end academic platform for attendance, timetables, and curriculum tracking. ML-based absenteeism prediction with 99% uptime.
ReactNode.jsMongoDB PythonFastAPIDocker
View Project →
02
Code Critic
AI-powered code review system. Credit-based workflow with Google/GitHub OAuth. Improved bug detection by 40%, cut bounce rate by 35%.
ReactExpressMongoDB GeminiOAuth
View Project →
03
Checkmate Blitz
Real-time multiplayer chess game built on the MERN stack with live game state, move validation, and Socket.io for instant sync.
ReactNode.jsMongoDBSocket.io
View Project →
04
Career Copilot
AI-assisted career guidance platform. Helps users navigate tech career decisions with smart recommendations and roadmap generation.
ReactExpressMongoDB Gemini
View Project →
05
Ekarikthin Fest Site
Official website for NIT Nagaland's Techno-Cultural Fest. Zero dependencies, pure HTML/CSS/JS, handling 1,500+ concurrent attendees.
HTML5CSS3Vanilla JS
Live Site →
06
Shinobi Clash
Anime-themed game project. A side-scrolling combat experience inspired by Naruto, built in JavaScript.
ReactExpressMongoDB Socket Io
View Project →
// Achievements
05
⚔️
LeetCode Knight
1900 rating · Top ~4% globally · consistent problem solver
🎯
Codeforces Specialist
1544 rating · competitive algorithmic programming
🧮
900+ Problems
Solved across LeetCode and Codeforces combined
🏆
SIH 2025 — 1st Place
NIT Nagaland Internal Hackathon · scalable MERN solution
// Exploring AIML
06

人工知能 — AI/ML Journey

Leveling Up
Into AI/ML

Not chasing a trend — staying lethal. With a strong foundation in DSA, MERN, and systems engineering, I started learning AI/ML to stay ahead of the curve and leverage it in real products. The curiosity is genuine, the grind is systematic.

Phase 01
Python Basics
Core language fundamentals, OOP, file I/O — the foundation.
Phase 02
Data Analysis
Pandas, NumPy, Matplotlib, Seaborn — wrangling and visualizing data.
Phase 03
EDA & Feature Eng.
Exploratory analysis, feature engineering, Google Play Store EDA project.
Phase 04
Machine Learning
Scikit-learn, MLflow, supervised & unsupervised — actively building projects.
Next →
Deep Learning
ANN, RNN, LSTM, GRU, Transformers, Attention — the arc continues.
Tooling
Flask · FastAPI · Streamlit
Deploying models as real APIs and apps — bridging ML with full-stack.

// Active Learning Repos

Machine_Learning ↗ Exploratory_Data_Analysis ↗ Feature_Engineering ↗ Data_Analysis ↗ Google_Play_Store_EDA ↗ ML_project ↗
// Final Arc
07

連絡先 — Let's connect

Let's Build
Something.