I'm a Full-Stack Developer focused on building scalable, maintainable, and user-focused web applications.
My primary development experience is across the Node.js and .NET ecosystems, with a strong interest in backend architecture, API development, modern frontend frameworks, and system design.
- π B.Sc. in Computer Science & Engineering β American International University-Bangladesh
- π» Focused on Full-Stack Web Development
- βοΈ Experienced with Node.js, NestJS, Next.js, React & ASP.NET Core
- ποΈ Comfortable working with PostgreSQL, MySQL & SQL Server
- π Interested in scalable backend systems, clean architecture & performance
- π¬ Also actively involved in software research and research-driven projects
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β βοΈ Backend Engineering β
β REST APIs Β· Authentication Β· Clean Architecture β
β β
β π» Full-Stack Development β
β Next.js Β· React Β· NestJS Β· ASP.NET Core β
β β
β ποΈ Data & Systems β
β PostgreSQL Β· MySQL Β· SQL Server Β· System Design β
β β
β π Engineering Practices β
β Scalability Β· Performance Β· Maintainability Β· Security β
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Agent / Business Management Platform A full-stack platform designed for managing users, applications, agents, scoring, approvals, dashboards, and business operations.
Stack: Next.js Β· React Β· NestJS Β· PostgreSQL Β· JWT Β· PusherJS
DraXNet β Explainable Image Classification An image classification research project combining EfficientNet-B0 and CBAM with Grad-CAM-based explainability.
Stack: Python Β· PyTorch Β· EfficientNet Β· CBAM Β· Grad-CAM
A research project focused on water-quality analysis and intelligent recommendations.
Conference: ICCIT 2025
Stack: Machine Learning Β· Python Β· Data Analysis
A deep learning project for Bangladeshi mango leaf variety classification, developed as a research project.
Dataset: MangoLeafVarietyBD Β· 2,744 images
Conference: ICECTE 2026
Alongside software development, I work on software engineering and machine learning research.
My interests include:
- Software Quality Assurance
- Generative AI for Software Engineering
- Requirement Analysis & Ambiguity Detection
- Explainable AI
- Computer Vision
- Deep Learning
- Efficient & Lightweight Models
I'm also involved in InSiamtion Research Group (IRG), a student-led research initiative focused on helping students explore research, collaborate, and develop research skills.
LinkedIn β’ GitHub β’ Portfolio β’ Email
Building scalable systems, solving real-world problems, and continuously learning. β‘
