I'm a Computer Science undergraduate at NIT Mizoram interested in backend engineering, problem solving, and building practical software systems.

• 🔭 Currently developing a Movie Booking Backend API
• ⚙️ Interested in Backend Development, REST APIs, Databases & Software Engineering
• 🧠 Solved 450+ DSA problems on LeetCode
• 🔬 Completed a Summer Internship at IIT Delhi in Deep Learning & Computer Vision
• 👨‍💻 Developer Member at Coding & AI Club, NIT Mizoram
• 🌱 Currently improving my DSA, Backend Development & Core CS fundamentals
• 📫 Email: bt24cs038@nitmz.ac.in

🩺 Chest X-ray Disease Detection TensorFlow • Keras • CNN • Computer Vision Deep learning project developed during my Summer Internship at IIT Delhi for medical image classification. Highlights 🩻 Binary Chest X-ray classification 🏥 CheXpert multi-label disease classification 🧠 CNN-based image classification 📈 88.62% test accuracy ⚙️ TensorFlow/Keras model training & evaluation 🔧 ML environment setup and dependency debugging

⚡ REST API Rate Limiter Node.js • Express.js • Algorithms Middleware designed to control API traffic and prevent request flooding. Highlights ⏱️ Sliding-window algorithm 🌐 Per-IP request tracking 🚫 HTTP 429 handling 🧩 Express middleware ⚡ In-memory HashMap

📚 Library Management System Java • Swing • OOP Desktop application for managing books and library transactions. Highlights 📖 Book management 🔄 Issue & return operations ✅ Input validation 🖥️ Java Swing interface 🧱 OOP-based design

🎬 Movie Booking Backend API Node.js • Express.js • MongoDB • JWT RESTful backend for an end-to-end movie ticket booking system. Highlights 🔐 JWT Authentication 👥 Role-Based Access Control 🎟️ Seat validation & reservation 🗄️ MongoDB + Mongoose 🏗️ MVC architecture ⚠️ Centralized error handling

Summer Intern · May 2026 – July 2026

Worked on deep learning and computer vision for Chest X-ray disease detection.

• Studied CLIP and I-JEPA research papers and presented their core concepts
• Evaluated deep learning models using TensorFlow/Keras
• Worked with binary and CheXpert multi-label classification
• Configured ML environments and resolved TensorFlow compatibility issues
• Trained a binary classification model for 20 epochs
• Achieved 88.62% test accuracy with 0.2623 test loss

Focused on:

Arrays • Strings • Binary Search • Linked Lists • Stacks • Queues • Trees • Graphs • Greedy • Backtracking • Dynamic Programming

• 🥇 1st Position — Proof Ideathon of Maths, NIT Mizoram
• 🥈 2nd Position — Debate Competition, NIT Mizoram
• 💻 450+ DSA Problems solved on LeetCode

Developer Member · 2024 – Present

• Contributed to the development and maintenance of the club website
• Participated in technical initiatives and development activities

Build • Solve • Learn