Computer Engineering student at Pak-Austria Fachhochschule (5th semester) with hands-on experience in full stack development, software engineering, and machine learning.
I build scalable web applications, REST APIs, responsive frontends, AI-powered tools, and machine learning pipelines — across four internships and eight shipped projects focused on backend integration and collaborative engineering.
degree → Bachelor of Computer Engineering — Pak-Austria FH (4th Semester)
stack → React · Next.js · Node.js · Python · TypeScript · C++ · MongoDB · Supabase · Machine Learning
portfolio → hassanmahmood.vercel.app
contact → hmahmood19662004@gmail.com
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AI-integrated note-taking app with intelligent capture, retrieval, and a workflow engine that nudges, not nags. Built with Clerk authentication, Gemini-powered intelligence, and Supabase for secure, real-time data management.
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AI-powered developer tool that reviews code and surfaces bugs, logic errors, security risks, and best-practice improvements. Paste snippets or analyze repositories for actionable feedback that improves code quality and maintainability.
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Transforms CSV files into polished Excel reports through a simple Gradio web UI. Upload raw data, clean and reshape it, then download production-ready outputs in seconds.
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End-to-end machine learning project for predicting La Liga match winners. Includes data preprocessing, model training, and a web UI with calibrated probabilities — not just labels.
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