A seasoned backend developer proficient in Python (including Django and FastAPI), passionate about solving complex problems and embracing new technologies. With extensive experience in designing, developing, and deploying scalable web applications, I've managed freelance projects handling high user volumes—such as systems supporting around 40,000 users—while leading freelance teams or collaborating with external companies. I stay current with industry trends and best practices to deliver efficient, reliable solutions. I thrive in collaborative environments, believing that teamwork drives the best outcomes.
Key Skills: Python, Django, FastAPI, Backend Development, Scalable Applications, Project Management, Freelance Development, API Integration, Web Deployment.
Completed a thesis titled "Design and Implementation of an Intelligent Furniture Image Retrieval System" with a score of 19/20 and an overall GPA equivalent to A.
Led the backend team in implementing large-scale websites, with a focus on database design and optimization to ensure scalability and performance. Collaborated with cross-functional teams to deliver robust solutions in a fast-paced environment.
Key Achievements:
Contributed to platform optimization, team leadership, and AI-related consultations in a dynamic development environment.
Key Achievements:
Developed a deep learning-based image retrieval system for automatic furniture recognition and similarity search, aimed at supporting interior design platforms and online stores. Compared multiple computer vision models (Faster R-CNN, Mask R-CNN, YOLOv8+SAM, U-Net) for object detection and segmentation, and used ResNet-50 for feature extraction combined with nearest neighbor algorithms for image retrieval. The system demonstrated high accuracy in object boundary detection and efficient performance on real-world datasets, providing a robust engineering solution for content recommendation and e-commerce applications.
Developed a comprehensive implementation of the Moth-Flame Optimization algorithm, a nature-inspired meta-heuristic for solving complex optimization problems (e.g., NP-Hard and continuous challenges). The project includes detailed mathematical modeling, such as random initialization of moth positions, logarithmic spiral updates for exploration and exploitation, and fitness-based flame sorting. Created explanatory README with visualizations (e.g., matrices, spiral equations, and 1D models) to illustrate concepts like transverse orientation and position updates. This open-source contribution demonstrates skills in algorithm design, optimization techniques, and technical documentation.
Developed and implemented a Django-based web application following the MVT (Model-View-Template) architectural pattern as part of the LELTAJMIL project at SAGE Company. The platform facilitates medical tourism for Qatari patients seeking premium cosmetic surgery and healthcare services in Iran, enabling seamless processes for travel, treatment, and return. Key features include user registration, appointment booking, medical counseling, health tourism inquiries via contact forms, emergency support, and expert doctor timetables. Focused on bridging Qatar and Iran's medical expertise for comprehensive patient journeys—from initial consultations to post-treatment care—with an emphasis on user-friendly design, scalability, and maintainable code structure.
Link: https://rahneshan.ir/
Link: https://mgpersia.com
Link: https://technicpedia.com
As the team lead and backend developer, I led my freelance development team in creating the Aajna project, a web-based platform that helps users analyze digital asset charts using a variety of technical indicators. The system was developed using Django (RESTful API) for the backend and React for the frontend, designed for scalability, modularity, and performance.
I was responsible for architecting the backend, managing API integration, and implementing database optimization techniques. To enhance performance in data-intensive modules, I selectively used raw SQL queries alongside Django’s ORM. The first phase of the project was successfully delivered, and planning for Phase 2 is currently underway.
As a Technical Team Lead and Backend Developer at Boomilia, a large-scale social network focused on architecture and interior design, I lead the development team and oversee backend architecture for a platform serving over 40,000 active users. My responsibilities include database optimization, scalability improvements, and the design and implementation of AI-driven tools for image analysis and enhancement. I also contribute to the platform’s SEO strategy, ensuring higher visibility and engagement through optimized content structure and performance tuning. Working directly under the leadership of Mr. Morteza Makani, I focus on building a robust, modular, and high-performing system that supports continuous growth and innovation within the Boomilia ecosystem.
Link: https://boomilia.com
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