Open to AI/ML opportunities
Buildingintelligentsystemsfrommodelstoreal-worldproducts.
Mohamed Adel Mahmoud
AI/ML Engineer · Applied AI
Computer Science graduate focused on AI and cloud engineering, with hands-on experience building machine-learning, computer-vision, RAG, backend-API, knowledge-graph, and cloud-deployed solutions.
Cairo, Egypt
Flagship
PharmaSafe
A+ medication-safety platform.
About
Practical AI, built as usable systems.
Mohamed's work sits where model quality, product behavior, and engineering constraints meet.
I am a Computer Science graduate from the Arab Academy for Science, Technology & Maritime Transport (AASTMT), focused on building practical AI systems end to end. My work spans machine learning, Generative AI, NLP, computer vision, RAG, knowledge graphs, APIs, cloud services, and AI application integration. I care about turning models into useful, explainable products rather than treating AI as isolated experiments.
B.Sc. Computer Science
AASTMT
GPA
3.54
Graduated
2026
Graduation Project
A+
Location
Cairo, Egypt
Flagship Project 01
PharmaSafe
An end-to-end medication-safety platform anchored by DrugBank as the primary medication knowledge source, with DDInter as supplementary interaction evidence and PubMedBERT as a fallback model for unresolved interaction analysis.
Real app screen
DrugBank is the core medication knowledge source behind PharmaSafe drug information and interaction evidence.
A+ Graduation Project
AI-Powered Medication Safety Platform
DrugBank is the primary and most important medication knowledge source behind drug information and interaction evidence.
Hybrid DDI analysis uses DrugBank/Neo4j as the core evidence layer, DDInter as a supplementary interaction dataset, and PubMedBERT as a fallback model.
Patient-aware substitution filters and ranks safer alternatives for pharmacist review.
Static digital twin compares current and substituted medication regimens with explainable reports.
Prescription OCR converts handwritten medication information into structured fields.
Selected Work
Applied systems across security, retrieval, medical imaging, food AI, and disaster response.
Only verified assets and supplied repositories are used. Each project image opens into an accessible evidence preview.
02
Cloud malware-risk analysis
Intelligent Malware Analysis Platform
Cloud-based malware-risk analysis combining static machine-learning analysis, dynamic sandbox behavior, and VirusTotal hash verification. Achieved Top 50 in the Huawei Cloud MENA Competition.
Huawei Cloud MENA Top 50
- 0.99
- AUC
- 0.97
- Accuracy
03
Source-grounded document answers
RAG Document Q&A Assistant
Source-grounded document question-answering system for PDF, DOCX, and TXT files, focused on ingestion, retrieval, semantic search, grounding, and answer generation.
- PDF · DOCX · TXT
- Supported files
04
MRI classifier
Brain Tumor Detection System
MRI-based brain-tumor classifier using transfer learning and model evaluation on approximately 7,000 MRI images. Awarded Best Project in the Introduction to Artificial Intelligence course.
Best Project - Introduction to Artificial Intelligence
- ≈7,000 MRI images
- Dataset
- 97%
- Accuracy
05
AI-powered vegetable recognition, nutrition, and recipe assistant
VeggieVision
Mobile and Streamlit AI assistant for recognizing vegetables, generating nutrition cards from USDA data, and supporting recipe guidance with Groq-powered assistance. Awarded Best Project in the Advanced Artificial Intelligence course at AASTMT.
Best Project - Advanced Artificial Intelligence
- 99.9%
- Test accuracy
06
Pre/post satellite damage analysis
Disaster Damage Assessment from Satellite Images
AI pipeline assessing building damage after disasters from pre/post satellite imagery using segmentation and classification.
- 78%
- Accuracy
- 76%
- Macro-F1
Experience
Training and practice shaped around product-minded AI engineering.
Aug 2025 - Nov 2025
Backend Intern
Connect Digital Solutions
Developed Java Spring REST APIs and worked with professional API-oriented development workflows.
Mar 2025 - Apr 2026
Data Science Program
ALX Africa
Completed analytical workflows, portfolio projects, and structured problem-solving practice.
Oct 2024 - May 2025
Data Science Track
DEPI
Applied data analysis, machine learning, visualization, and practical project delivery.
Education
Bachelor of Science in Computer Science
Arab Academy for Science, Technology & Maritime Transport (AASTMT)
Graduated: 2026
GPA: 3.54
Graduation project: PharmaSafe - A+
Skills
A compact toolkit for taking AI from experiment to product.
AI / Machine Learning
Generative AI / RAG
Backend / Software
Frontend / Mobile
Data / Knowledge
Cloud
Tools
Certifications
Credential evidence, kept visible and verifiable.
Every certificate shown here is backed by a genuine image in the current asset folder.
Achievements
Recognized work, competitions, and academic project results.
A concise record of supplied achievements without inflated titles or invented claims.
PharmaSafe — A+ Graduation Project
Huawei Developer Competition Northern Africa 2025 — Top 50 among 389 teams and 1,400+ developers
ECPC 2024 — Finalist
Best Project — Introduction to Artificial Intelligence
Best Project — Advanced Artificial Intelligence
Best Project — Introduction to Cybersecurity
Best Project — Advanced Programming
Contact
Let's build something intelligent.
Mohamed is open to AI/ML engineering opportunities, applied AI roles, graduate programs, and teams building practical intelligent products.