Open to internships · Summer 2026

Computer Science @ UIC Full‑Stack + Cloud Developer

Welcome to my website! Take a look around and learn more about me.

Email LinkedIn Resume

Visitors: —

About

Hey! I’m Hamza, a Computer Science student in my junior year at the University of Illinois Chicago. I love building full-stack apps, diving into cloud technologies, and finding practical ways tech can solve real-world problems. I’m always looking to grow my skills, work with innovative people, and make an impact. Scroll down to learn more about my projects and experiences!

Projects

AWS Cloud Resume Challenge

AWS · IaC · CI/CD Pipelines
  • Built and deployed a serverless resume website on AWS using S3, CloudFront, and Route 53, making it fast and accessible worldwide.
  • Added a backend with AWS Lambda + DynamoDB to track visitors — logged 50+ visits in the first month.
  • Used AWS SAM to automate infrastructure setup, making updates and scaling much easier.
  • Set up CI/CD pipelines with GitHub Actions, cutting deployment time down to under 2 minutes.

Psst. You're on the cloud right now!

Solve24 — Math Puzzle Game

React · Node · Express
  • Interactive game to reach 24 using four numbers; includes practice and 60‑sec timed modes.
  • Implemented solution validation ensuring all four numbers are used; session scoring & progress.
  • Developed a responsive UI in React.js using hooks and context for efficient state management across multiple components
  • Created REST APIs for move validation, game state, and user stats using Node.js and Express

Resume Analyzer — AI-Powered Resume Feedback Tool

Flask · Mistral AI · JavaScript
  • Developed a responsive web app with a drag-and-drop file upload UI supporting PDF, DOCX, and TXT formats
  • Integrated Mistral-7B-Instruct to analyze Experience, Education, Skills, and Projects with section scores (1–10)
  • Implemented structured feedback with actionable recommendations through a clean, user-friendly interface
  • Built a local analysis fallback system and added robust error handling to ensure reliability during API downtime

Experience

Research Intern — AI Applications for Power Systems

UIC Internship Program · Jun–Aug 2024 · Chicago, IL
  • Benchmarked 6+ machine learning algorithms (supervised, unsupervised, and deep learning) for applications in power systems, identifying the most effective methods for forecasting, optimization, and fault detection.
  • Conducted a comparative study and presented results to senior researchers, helping guide the department’s research priorities.
  • Enhanced technical communication by presenting findings in weekly research meetings, contributing to the integration of results into active projects.
  • Gained experience bridging AI research and energy applications, reinforcing my interest in applying data-driven approaches to real-world infrastructure challenges.

Skills

C++ C Python Java HTML CSS JavaScript React Node.js Express Linux Data Structures & Algorithms Machine Learning

Contact