Python Backend Developer specializing in scalable API systems, AI-integrated applications, and production-grade Django architectures. Skilled in RESTful API development, authentication, payment integrations, and database-driven systems. Experienced with PostgreSQL, MySQL, Docker, and Git. Currently working as a Jr. Full-stack Developer, building end-to-end web applications using Django, DRF, React, and cloud-based deployment pipelines.
I specialize in building robust backend systems with Django and Django REST Framework, integrating payment gateways (SSLCommerz, Stripe), and implementing real-time features using WebSockets. With a strong academic foundation (CGPA 3.92/4.00) and an IEEE publication on resource allocation in MEC Federations, I combine theoretical knowledge with practical development experience. I'm passionate about solving complex problems and delivering scalable, production-ready solutions.
A movie review platform using Django and TMDB API, featuring authentication, user reviews, and star-based rating system.
Includes like/dislike buttons and real-time rating updates.
GitHub
A dengue outbreak prediction tool built with Django and SVM. Uses MDP to suggest municipal actions such as fogging or awareness drives.
Integrated with Google OAuth for secure login.
GitHub |
A terminal-based appointment management system built in Bash.
Allows doctors and patients to manage real-time appointment queues.
GitHub
I’ve collaborated with students, startups, and research teams to design reliable web platforms and intelligent systems. Each project was built with a focus on performance, usability, and clean architecture — earning positive feedback for exceeding expectations and delivering real impact.
Delivered end-to-end full-stack and AI-based projects using Django, React, and Machine Learning — each focused on solving real-world problems with clean and efficient code.
Built large-scale Django and ML systems with maintainable, well-documented code across multiple repositories, including backend APIs, automation scripts, and analytics pipelines.
From mentors, collaborators, and project supervisors — for reliability, clean design, quick problem solving, and on-time project delivery.