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Hello, I’m Hudson Mathew, a versatile developer specializing in Python, frontend and backend engineering, and UI/UX design. I enjoy turning ideas into reliable, efficient, and visually polished products that solve real problems and deliver smooth user experiences.
Read MorePython development services focused on building clean, scalable, and maintainable applications. This includes creating automation scripts, developing Django-based backend systems, and handling data processing workflows. REST APIs are built and integrated to connect apps, databases, and third-party services. AI/API integrations are also implemented, including chatbot-style features that add smart functionality to products.
Frontend development services focused on building clean, responsive, and user-friendly web interfaces. I create well-structured pages with HTML, style modern layouts with CSS, and add interactivity using JavaScript. I build reusable UI components like navbars, cards, forms, and buttons with consistent design across pages. I also integrate frontend with backend systems (like Django templates and APIs) to deliver dynamic, real-world web apps.
Backend development services focused on building secure, scalable, and high-performance systems. I develop application logic, create REST APIs, and connect applications to databases for reliable data handling. I implement authentication, authorization, validation, and security best practices, and integrate third-party services to support real-world features and smooth deployments.s.
UI/UX design services focused on creating clean, modern, and easy-to-use digital experiences. I design layouts, components, and visual systems that stay consistent across screens and features. I improve user flows, navigation, and accessibility so products feel simple and intuitive to use. I focus on responsive, user-centered design that enhances usability and overall product quality.
EpicOutlet (Django Project) EpicOutlet is a full-stack e-commerce web application built with Python and Django that lets users browse, search, and purchase products across categories like electronics, fashion, groceries, and home items. It includes user authentication, a shopping cart, a favourites list, and an AI shopping chatbot (Shop-Bot) that helps users find products through natural-language queries (for example, “phones under ₹30,000”) by searching the product database with filters like category and price range. The system follows Django’s MVT architecture, stores data in PostgreSQL (Supabase), hosts images on Cloudinary, serves static files with WhiteNoise, and is deployed on Render using Gunicorn. It also provides a REST API (via django-tastypie) under /api/v1/ for external access to product and related data. Overall, the project demonstrates end-to-end web development plus modern AI integration and cloud deployment in a production-ready setup.
RetroXperience (Django Project) RetroXperience is a Django-based movie discovery web application focused on helping users explore retro and classic films using a large real-world Netflix titles CSV dataset. It lets users browse movies in a paginated list, filter by genre and release year, search by title, and open a detail page with full movie information. The platform also provides a clean and responsive user interface that makes browsing and discovering movies simple and user-friendly. A key feature is its 1–5 star rating system, where visitors can rate movies anonymously and the app calculates and displays average ratings using Django’s ORM aggregation. The project follows Django’s MVT architecture, includes a REST API (via django-tastypie) for external access to movie data, and is set up for cloud deployment with Gunicorn and WhiteNoise (targeting platforms like Render). It also includes pandas and scikit-learn, setting the foundation for adding a future movie recommendation system.