Currently a Data Science student at Alexandria National University, with a passion for building ML systems that go beyond notebooks. My competitive programming background gave me a strong algorithmic foundation β now applied to intelligent system design. class MostafaMahmoud:
university = "Alexandria National University"
degree = "Data Science & AI"
location = "Alexandria, Egypt πͺπ¬"
domains = ["ML Pipelines", "NLP & Transformers",
"Computer Vision", "Recommender Systems",
"LLM Engineering"]
stack = ["Python", "TensorFlow", "PyTorch",
"Scikit-learn", "OpenCV", "Streamlit"]
background = "Competitive Programming β Engineering Mindset"
goal = "AI Engineer Intern β Full-time ML Engineer"
available = True # π Open to opportunities! |
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π IT Intern | Alexandria National Refining and Petrochemicals Company (ANRPC) (May 2026)
- Focused on data centers and networking infrastructure.
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ποΈ Computer Vision Intern | National Telecommunication Institute (NTI) (Jul 2025 β Aug 2025)
- Built OCR system + automated image organization pipeline.
- π₯ 1st Place β University Programming Contest
- Qualified for National Finals
- Strong algorithmic + problem-solving background
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Production-Ready ML Framework End-to-end diabetes prediction pipeline built for real systems, not notebooks. Modular architecture: preprocessing β training β evaluation β deployment.
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Bilingual NLP Classification System Arabic + English misinformation detection using TF-IDF vectorization and classical ML classifiers. Real-world multilingual text processing with Arabic dialect preprocessing.
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Interpretable Medical ML Pipeline Deep EDA + feature engineering + benchmarked classifiers. Explainability-first approach β because in healthcare, trust matters as much as accuracy. |
Always Shipping Currently building:
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| π οΈ Area | π Topics | π― Goal |
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| MLOps | Docker Β· MLflow Β· CI/CD for ML | Production-grade pipelines |
| LLMs | HuggingFace Β· RAG Β· Fine-tuning | LLM-powered apps |
| Cloud | AWS / GCP for ML deployment | Scalable inference |
| CV Advanced | YOLO Β· Segmentation Β· GANs | Real-time vision systems |
Open to AI discussions, open-source collaboration, or internship opportunities!
"Engineering intelligence from raw data into production AI systems."
