Languages
- Python
- C++
subject — conf 0.98
Maaz Ali
AI Student
Undergraduate AI student at the University of Malakand, Pakistan — building efficient AI systems and computer vision models, from first-principles implementations to production deployments.
[ about ]
Focused on making AI smaller, faster, and easier to see.
I'm Maaz — an undergraduate AI student who likes to understand systems by rebuilding them. That means implementing machine learning algorithms from scratch before reaching for a library, and shipping projects end-to-end: data, model, API, and interface.
My current interests sit at the intersection of efficient AI (making models smaller and faster without losing accuracy) and computer vision (teaching machines to read the world through pixels). Alongside that, I write C++ and Python for general software engineering, and package and ship the tools I build.
- role
- AI Student & Developer
- university
- University of Malakand
- location
- Pakistan
- focus
- Machine Learning Computer Vision MLOps Software Engineering
[ stack ]
Tools I reach for.
ML & Data
- NumPy
- Pandas
- Scikit-learn
- Jupyter
Deployment
- FastAPI
- Streamlit
- Docker
- Vercel
- Hugging Face
Tooling
- Git & GitHub
- VS Code
- Kaggle
[ projects ]
Selected work.
Titanic Survival Predictor
An end-to-end machine learning application: a trained classification model served through a FastAPI backend deployed on Vercel, paired with an interactive Streamlit front end for live predictions. Covers the full pipeline — preprocessing, training, API design, and cloud deployment.
- Python
- Scikit-learn
- FastAPI
- Streamlit
- Vercel
ML Algorithms From Scratch
Pure Python and NumPy implementations of core machine learning algorithms — no black boxes, every gradient and update rule written by hand.
- Python
- NumPy
End-to-End ML Projects
A collection of production-ready ML projects — from data preprocessing and model training to Streamlit apps, Docker containers, and live cloud deployments.
- Python
- Docker
- Streamlit
Machine Learning Projects
An ongoing set of applied machine learning notebooks and experiments spanning classic datasets and techniques.
- Python
- Jupyter
[ lab ]
Open source & experiments.
Xchanger
A published Python package that fetches and saves live currency exchange rates, with export to Excel, CSV, or JSON. Compatible with Python 2 and 3.
pip install Xchanger
More notebooks, datasets, and competition entries are shared on Kaggle and models on Hugging Face.
[ connect ]
Download Résumé (PDF) ↗
Let's build something.
Open to internships, research collaborations, and interesting problems in AI and computer vision.