Building scalable web solutions and exploring intelligent systems
I'm a Computer Science graduate passionate about building robust, scalable software solutions. Since my early undergraduate years, I've been actively developing on GitHub—working on diverse projects ranging from problem-solving challenges and coursework to personal initiatives.
My journey has taken me through Python development, machine learning research, and data-driven problem solving. Today, my primary focus is on software engineering, with a specialization in Full-Stack Development. I thrive on learning new technologies and applying them to create meaningful, real-world applications.
Current Focus:
- 🎯 Full-Stack Web Development (MERN/MEAN Stack)
- 🔧 Building production-ready web applications
- 🤖 Exploring ML integration in web platforms
- 📊 Data-driven software solutions
Galaxy Legends Esports Team Management System
A comprehensive full-stack web application designed to streamline esports team management with real-time analytics and player tracking.
Key Features:
- 🔐 Secure Firebase Authentication
- 👥 Dynamic Player Management System
- 📊 Real-time Statistics Dashboard
- 📈 Match History & Performance Analytics
- 💰 Team Earnings Tracker
Tech Stack: HTML5 CSS3 JavaScript Firebase Authentication Cloud Firestore
Modern Grocery Store Platform
A sleek, responsive frontend solution for a grocery store platform, emphasizing modern UI/UX principles and seamless user experience.
Key Features:
- 📱 Mobile-First Responsive Design
- 🎨 Pixel-Perfect Figma Implementation
- ⚡ Fast & Lightweight Performance
- 🛍️ Intuitive Shopping Interface
Tech Stack: HTML5 CSS3 JavaScript Figma
Mental Wellness Mobile Application
A cross-platform mobile application focused on mental wellness, providing comprehensive tools for mental health management and community support.
Key Features:
- 📝 Mental Health Task Tracking
- 👥 Peer Support Community
- 🗓️ Counselor Appointment System
- 📊 Progress Monitoring & Analytics
- 🔔 Wellness Reminders
Tech Stack: Flutter (Dart) Firebase Authentication Cloud Firestore
Future Intern • 1 Month
Developed and deployed machine learning models addressing real-world business challenges:
| Project | Description | Repository | Post |
|---|---|---|---|
| 📊 Sales Forecasting | Time-series forecasting model for retail business revenue prediction |  |
 |
| 📈 Stock Price Prediction | Deep learning model using LSTM for stock market forecasting | |
|
| 💬 Customer Support Chatbot | NLP-powered chatbot for automated customer service | |
|
IDDMSLD: An Image Dataset for Detecting Malabar Spinach Leaf Diseases
A. R. Sayeem, J. F. Omi, M. Hasan, M. U. Mojumdar, and N. R. Chakraborty, "IDDMSLD: An image dataset for detecting Malabar spinach leaf diseases," Data in Brief, vol. 58, p. 111293, Feb. 2025.
This peer-reviewed dataset contributes to smart agriculture research by enabling machine learning-based disease detection in agricultural produce.
|
React.js |
Node.js |
MongoDB |
Express.js |
Full-Stack Development (MERN Stack) • TypeScript • System Design • Cloud Services • CI/CD
