M. Hammad Hassan
Senior Software Developer | Tutor
Ready for work
M. Hammad is ready for their next project!
Built an AI-Powered Resume Analyzer using FastAPI (backend) and React.js (frontend). Users upload resumes, which are processed with LLMs and advanced NLP techniques to extract, analyze, and score key skills, experience, and keywords. Generates structured, downloadable reports in CSV/XLSX formats. Features include real-time progress tracking, secure file handling, and a responsive, user-friendly interface. Ideal for recruiters, HR teams, and career platforms.
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A large-scale online meal subscription and food ordering platform serving the Middle East, allowing users to generate personalized meal plans based on calorie goals, dietary preferences, allergies, and scheduling constraints. I worked on an existing Laravel monolith, migrating the payment system from Stripe to a local provider, implementing advanced meal plan customization (add-ons, extra meals, snacks), expanding admin controls, and improving system performance and reliability. The platform supports tens of thousands of concurrent users with high availability and data consistency.
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Built an eBay Product Scraping Web App from scratch using Python (Django) backend and Tailwind CSS with Django Templates frontend. Users can set number of processing threads, product fetch limit, and provide an eBay product list URL to scrape. The app processes listings efficiently, scraping key product details while showing live progress. Fully responsive UI, optimized for performance, and capable of handling large-scale scraping tasks with configurable concurrency.
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Built a custom LinkedIn automation system similar to PhantomBuster, integrated into a microservice-based CRM. The service automates connection requests and AI-generated, context-aware messages using conversation history. Designed as an independent microservice for scalability and clean CRM integration.
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