🎓 Junior Undergraduate Student at the University of Maryland, College Park
📚 Double Major: Computer Science (Machine Learning specialization) & Applied Mathematics
⚛️ Minor: Quantum Engineering and Science

I’m an international student from Jordan passionate about building scalable, impactful systems that bridge software engineering, machine learning, and scientific research.

My work spans from quantum-enhanced ML and climate simulations to full-stack applications that empower communities.

Check out my personal portfolio showcasing my work, research, and leadership experience:
🔗 moheedeen.netlify.app

• 💡 Tech Director @ Bitcamp 2026 — one of the largest collegiate hackathons in the U.S.
• 🛰️ StreetScribe — Mobile app that enables communities to report, map, and track local issues in real time using React Native, AWS, and PostgreSQL.
• 🧠 Deepfake Detection System — ML pipeline detecting synthetic audio using spectrogram analysis, signal processing, and TensorFlow/Scikit-learn.
• ⚛️ Quantum ML Research — Integrated Qiskit and PennyLane for hybrid quantum-classical attention mechanisms, optimizing NLP and vision tasks.
• 🌤️ Climate Computing Research (UMD) — Automated large-scale WRF-ARW simulations on NCAR’s Derecho cluster to study Arctic weather dynamics.
• 🍽️ TerpPlate — Web app displaying UMD dining menus via a Python BeautifulSoup backend and React + TypeScript frontend, enhanced with Gemini AI meal recommendations.
• 💻 Amazon Project Kuiper x ADC — Full-stack RF visualization tool integrating Next.js, Mapbox, and PostgreSQL, supporting ML defensibility.

• 🛰️ Amazon Project Kuiper x ADC — Built an RF visualization platform integrating Next.js, React, and Mapbox for interactive geospatial analysis. Backend powered by Python and PostgreSQL, supporting ML defensibility and FCC-compliant workflows.
• 🧭 StreetScribe — Cross-platform mobile app enabling users to report, map, and track community issues in real time using React Native, AWS, and PostgreSQL.
• 💭 Deepfake Detection System — Developed an ML pipeline to detect synthetic audio using spectrograms, signal processing, and TensorFlow/Scikit-learn.
• 🪐 Quantum ML Research @ Do Quantum — Optimized hybrid attention mechanisms using PennyLane and Qiskit, offloading computation to QPUs to enhance NLP and CV performance.
• 🌤️ Climate Computing Research (UMD) — Automated WRF-ARW model simulations on NCAR’s Derecho cluster to analyze Arctic atmospheric dynamics.
• 🍽️ TerpPlate — Full-stack web app scraping UMD dining menus with BeautifulSoup, serving live data through a React + TypeScript frontend, and generating Gemini AI-powered meal recommendations.
• 📖 Spread The Read — Flask-based app that assesses reading difficulty using NLP and readability algorithms to assist educators.
• ⚡ Sunwave — Kivy-based solar planning tool simplifying residential solar panel installation through real-time performance calculations.

Languages & Frameworks
Python · TypeScript · JavaScript · C · Java · OCaml · Rust · Flask · Django · React · React Native · Next.js · Tailwind CSS · Framer Motion

Data & ML
Pandas · NumPy · Scikit-learn · PyTorch · Qiskit · PennyLane · xarray · NetCDF4 · TensorFlow

Tools & Platforms
AWS (EC2, S3, Lambda) · PostgreSQL · MySQL · DynamoDB · GitHub · Bash (HPC scripting) · Jupyter Notebook · Google Colab · Figma · LaTeX

📧 moheedeenwork@gmail.com
📍 College Park, MD, USA