Ahmad Mustapha
Unicorn engineer offering a rare blend of expertise in AI R&D, Data Science, Backend Development, and System Design. Transforming ideas into scalable solutions.
About Me
My journey in technology and innovation
Hello! I am Ahmad Mustapha, a unicorn engineer offering a rare blend of expertise in AI R&D, Data Science, Backend Development, and System Design. I've led and contributed to diverse projects like detecting vehicles in African reserves, analyzing traffic in Dubuque City, predicting illnesses from X-ray images, and deploying multi-service applications.
Proficient with Python, PyTorch, Hugging Face, Scikit-learn, and Pandas. Skilled in model development and deployment using Flask, Django, and Docker. Well-versed in project management tools (Jira) and practiced in Agile methodologies.
Tech Stack
Technologies I work with
AI & ML
Backend
DevOps
Featured Projects
Some of my recent work
Vehicle Detection In The Wild
A freelancing project to detect vehicles in the wild by processing aerial imagery taken from drones. Uses YOLO model with OpenCV, CVAT, and PyTorch.
Sickness X-ray Based Detection
Used CNNs to predict patient sickness from X-ray images. Explored AlexNet, ResNet, DenseNet models and analyzed bias in medical AI systems.
Text Segmentation Baseline
N-gram based ML text segmentation for Islamic hadith to predict splits between sanad and maten parts. Novel entropy-based segmentation technique.
Unsupervised Deep Learning
Research framework to understand representation quality of Unsupervised Deep Learning Models. Focused on efficiency optimization without trading off performance.
Kure - Voice AI Platform
Fully containerized application for voice recording, transcription, and AI analysis. Built with Flask, Docker, Django, Postgres, Prometheus, and Grafana.
Point In Polyhedron
CUDA implementation of the Point In Polyhedron problem. Parallelized procedure on GPU using CUDA C for computer graphics applications.
Perspective Analyzer
Advanced video analysis tool for detecting perspective and bias in textual content. Uses machine learning techniques to analyze viewpoints and sentiment patterns.
Research Publications
Academic contributions to the field of AI and machine learning
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AraSTEM: A Native Arabic Multiple Choice Question Benchmark for Evaluating LLMs Knowledge In STEM Subjects
A Mustapha, H Al-Khansa, H Al-Mubasher, A Mourad, R Hamoud, et al.
arXiv preprint arXiv:2501.00559, 2024 (Cited by 11) -
Inter-model interpretability: Self-supervised models as a case study
A Mustapha, W Khreich, W Masri
Array 22, 100350, 2024 -
A deep dive into deep cluster
A Mustapha, W Khreich, W Masri
arXiv preprint arXiv:2207.11839, 2022 (Cited by 3) -
Unsupervised Deep Learning: Inter-Model Interpretation and Deep Clustering
A Mustapha
Master's Thesis, 2021 -
Towards rich sensor data representation functional data analysis framework for opportunistic mobile monitoring
A Mustapha, K Zeitouni, Y Taher
4th International Conference on Geographical Information Systems Theory, 2018 (Cited by 2) -
Sahar Dataset: a Validated Dialogue Based Dataset For a Child-Centric, Empathetic and Knowledge-Driven Chatbot
H Al Khansa, A Mustapha, M Awad
Proceedings of the AAAI Symposium Series, 2025
Let's Connect
Ready to work together on your next project
Ready to start a conversation?
Whether you have a project in mind or just want to chat about technology, I'm always open to discussing new opportunities.
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