CS graduate focused on Full-Stack Development (MERN/MEAN) and ML integration in real-world applications. Active on GitHub since first year of undergrad — from coursework and problem-solving to production-level projects.
🎯 Focus Full-Stack Web Development (MERN Stack)
🤖 Exploring ML integration in web platforms
📄 Published Data in Brief, Elsevier — Feb 2025
📍 Location Bangladesh
💼 Status Open to opportunities
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Esports team management system with real-time stats, player tracking, and match analytics.
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Mobile-first grocery store frontend with pixel-perfect Figma implementation.
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Mental wellness Android app with task tracking, peer support, and counselor appointments.
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ML model to predict heart attack risk from patient health indicators.
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IDDMSLD: An Image Dataset for Detecting Malabar Spinach Leaf Diseases — Data in Brief, Elsevier, Feb 2025
Peer-reviewed image dataset of Malabar spinach leaf diseases — enabling future ML-based disease detection research in smart agriculture.
Machine Learning Intern · Future Intern (Remote, 1 month)
| Project | Stack | Links |
|---|---|---|
| Sales Forecasting | Time-series, Scikit-learn |   |
| Stock Price Prediction | LSTM, Deep Learning | |
| Customer Support Chatbot | NLP, Python | |
