I'm a Computer Engineering student at the University of Southern Mississippi (minoring in Polymer Science 🧪) who loves bridging the gap between hardware, software, and machine learning. From writing custom CUDA kernels to automating chemistry labs with robotics, I build things that move fast and scale.

Currently expanding my AI horizons as a Cornell Break Through Tech AI Fellow! 🚀

• AI & Research: Engineering CNN-based computer vision systems and building automation pipelines to speed up materials discovery.
• Full Stack Development: Optimization geek. I recently cut database query loads by 40% for CampCrunch and built a personalized nutrition matching engine.
• Open Source: Created RunOnGPU, a PyPI package to spin up remote cloud GPU workflows effortlessly.

• Languages: Python, C++, C, JavaScript, TypeScript, MATLAB
• AI / ML & Vision: TensorFlow, PyTorch, OpenCV, Pandas, NumPy
• Web & Mobile: React.js, React Native, Next.js, Node.js, Flask
• DevOps & Tools: Git, Docker, CUDA, Appwrite, Linux, Arduino

• 🏎️ [CUDA Neural Network Engine] – A neural network built entirely from scratch in C++ and custom CUDA kernels. No external ML frameworks, just pure parallel processing power.
• 📦 [RunOnGPU] – An open-source CLI utility published to PyPI that lets you execute code on cloud GPUs without the manual configuration headache.

• Aryan, M. Convergence of High-Throughput Experimentation and Machine Learning for Polymer Discovery. RSC Applied Polymers, 2025.

• 💼 LinkedIn: linkedin.com/in/mashrafeearyan
• 📧 Email: mashrafeearyan@gmail.com