🎓 B.Tech Computer Science & Engineering Undergraduate · 2023–2027

🔭 Currently building GitLite — a Git-inspired Version Control System & Repository Platform

💻 Building full-stack applications and backend systems

⚙️ Working with React.js, Node.js, Express.js, MongoDB, PostgreSQL & REST APIs

🤖 Hands-on experience in Applied Machine Learning and end-to-end ML workflows

🧩 Strengthening Data Structures & Algorithms and core Computer Science fundamentals

🎯 Interested in Software Engineering, Backend Development & Full-Stack Engineering

💼 Open to Software Engineering Internships and Entry-Level Opportunities

24-Hour Hackathon

_{Ranked among 200+ participating teams}

Network Intrusion Detection

_{Applied Machine Learning System}

Data Structures & Algorithms

_{Consistent problem-solving practice}

Version Control System & Repository Platform

Git-inspired backend platform for tracking file changes, managing repositories, commits, and version history.

Key Engineering Work

• RESTful API architecture
• Repository and commit workflows
• Persistent storage design
• Commit tracking
• Version history management

Node.js Express.js MongoDB

Full-Stack Travel Listing Platform

End-to-end travel listing platform supporting authentication, property listings, reviews, image management, and geolocation.

Key Engineering Work

• Authentication and authorization
• RESTful API architecture
• Input validation
• Centralized error handling
• Cloudinary image management
• Mapbox geocoding

React.js Node.js Express.js MongoDB

Conversational Budget Manager

AI-powered expense assistant enabling transaction logging through voice and natural-language inputs.

Key Engineering Work

• Voice-based transaction capture
• Real-time voice-to-text processing
• Natural-language interactions
• Intelligent expense categorization

React.js Agora SDK

🏆 Top 18 Globally Among 200+ Teams

AI-Powered Network Intrusion Detection System

Machine-learning system for detecting malicious network traffic using cybersecurity datasets.

Key Engineering Work

• NSL-KDD and CICIDS2017 datasets
• Data preprocessing and feature engineering
• Four classification models evaluated
• Random Forest and HistGradientBoosting
• Real-time intrusion alerts

Python Pandas Scikit-learn

🎯 90%+ Classification Accuracy