I'm a developer based in Gujranwala, Pakistan, currently completing a BS in Information Technology at the University of Gujrat. My work sits between two disciplines: teaching machines to understand data, and building the interfaces people actually use to interact with it — from implementing neural nets with nothing but NumPy to shipping full-stack products end to end.
| 🧠 Deep Learning & CV | Neural nets from scratch, fine-tuned CNNs (ResNet-18) for medical imaging, statistical & time-series modelling |
| 🌐 Full-Stack Web | React / Next.js front-ends, Node / Express / Flask backends, Supabase-backed apps |
| 📱 Mobile | Flutter, React Native, native Kotlin |
| 🔬 Applied Research | Explainable AI (Grad-CAM), graph ML, automata theory — coursework and published/in-progress papers |
| 🏆 Competitive Practice | Active on LeetCode, HackerRank, Kaggle |
Python TypeScript JavaScript C# C
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PyTorch TensorFlow Keras NumPy
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React Next.js Flutter Tailwind CSS
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Node.js Express Flask Supabase
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Git Vercel Streamlit
Pulled straight from github.com/moeezmalik10 — real repos, not placeholders.
A from-scratch face recognition system built on a NumPy-only multilayer perceptron — no PyTorch, no TensorFlow, just linear algebra and hand-implemented gradient descent.
Python NumPy Jupyter Notebook
Classifies Alzheimer's disease stages from brain MRI scans using a fine-tuned ResNet-18, later extended with Grad-CAM explainability research.
Python ResNet-18 Jupyter Notebook
A platform for documenting urban exploration — log, tag, and share discoveries from abandoned places and hidden spots. Live →
TypeScript
A career-counselling tool that helps students explore paths and make informed decisions. Live →
Python Streamlit
🍽️ SpinNSpice
A restaurant management system handling orders, menus, and day-to-day operations end to end.
TypeScript