Ahmed Hazem Elabady
AI & Data Scientist • Cairo, Egypt
Detail-oriented Computer Science and Artificial Intelligence Engineer specializing in Deep Learning, Computer Vision, and Large Language Models (LLMs). Demonstrated success in developing high-impact AI solutions, including a waste detection model with 94% mAP50 accuracy and an air delay prediction system. Adept at collaborating with diverse teams to translate complex data into actionable, real-world solutions.
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Experience
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GenAI Engineer Trainee
- Completing NVIDIA's AI for All and Generative AI Explained courses, earning certificates in foundational and generative AI concepts
- Mastering Building LLM Applications with Prompt Engineering, developing skills in optimizing large language models
- Advancing expertise in Augmenting LLMs Using RAG, applying retrieval-augmented generation techniques through hands-on instructor-led sessions
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Computer Vision Trainee
- Designed scalable computer vision workflows using YOLOv8-v11 for waste detection, achieving 94% mAP50 accuracy on a 24,000-image dataset
- Optimized neural network architectures, reducing inference latency by 15% through hyperparameter tuning and data augmentation
- Authored technical documentation for model deployment, improving team onboarding efficiency by 20%
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AI & Data Science Trainee
- Developed and deployed an end-to-end CNN model (>90% accuracy) for satellite image classification, managing the full workflow from EDA and preprocessing to final deployment using Python, TensorFlow
- Spearheaded project planning and execution for a 5-person team, defining milestones, mitigating risks, and ensuring the on-time delivery of a fully documented solution
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AI Model Trainer
- Trained large language models (LLMs) to solve complex mathematical problems with high accuracy
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Information Technology Trainee
- Gained expertise in diagnosing and resolving real-world IT issues through practical experience
- Collaborated with team members to troubleshoot and address technical challenges effectively
- Developed problem-solving skills by implementing solutions for complex IT system issues
Education
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Benha Faculty of Computer Science and Artificial Intelligence
Focus on CS and Data Science fundamentals and data‑driven technologies.
Volunteering
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NASA Space Apps Benha
Vice Head Researcher Mentor
Jun 2025 - Present
- Contributed to global challenges via NASA Space Apps Benha mentorship, guiding interdisciplinary teams on science and technology projects with real-world applications in exploration, fostering innovation in a collaborative, international context
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Career Explorers
- Collaborated with the organization team for the 1% Event 2025, a premier career exploration summit focused on empowering young professionals in tech and entrepreneurship
- Managed speaker outreach, scheduling, and logistics for 20+ industry experts
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Event Organizer
- Assisted in organizing a countrywide AI and Robotics programming competition with a capacity of 5,000, including 1,500 participants and 3,500 parents/spectators
- Contributed to bringing together passionate individuals to celebrate innovation and creativity in coding
- Worked alongside talented team of organizers to support and empower aspiring developers
Projects
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Waste Detection using YOLO (v8–v11)
🎯 94% mAP50 accuracy • 22 waste types • 24K training imagesDeveloped advanced waste detection system using YOLOv8-v11 to identify 22 waste material types including cans and plastic bottles. Achieved 94% mAP50 accuracy through strategic data preprocessing, augmentation, and model optimization techniques. Trained on large-scale dataset of 24,000 images from Roboflow.
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Land Type Classification (EuroSAT)
🛰️ 94% accuracy • Sentinel-2 satellite data • 10 land typesDeveloped a deep neural network model to classify land types from Sentinel-2 satellite images using the EuroSAT dataset, achieving 94% accuracy. Enabled applications in urban planning and environmental monitoring by identifying agriculture, urban, water, desert, roads, and forest areas.
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COVID-19 X-ray Detection
🏥 95%+ accuracy • Real-time prediction • 60% faster diagnosisDeveloped a CNN-based system using deep learning for COVID-19 detection from chest X-rays with real-time prediction and confidence visualization. Implemented multiple convolutional layers with max pooling and dropout, achieving over 95% accuracy. Can enable potential 60% acceleration in clinical diagnosis.
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Cat vs. Dog Image Classifier
Binary image classifier trained on cats vs dogs with strong generalization.
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Air Delay Prediction
✈️ 99.9% accuracy • Weather-based prediction • Early stopping optimizationPredicts weather‑caused flight delays; tuned with early stopping for 99.9% accuracy.
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Customer Churn Prediction
📊 92% accuracy • 4 ML algorithms • 25% churn reduction potentialDeveloped a churn prediction system using XGBoost, Random Forest, SVC, and KNN, optimized with GridSearchCV, achieving 92% accuracy. Enabled proactive customer retention strategies, potentially reducing churn by 25% with XGBoost model.
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Indicators of Heart Disease
Pipeline on 319,795 records; best KNN (90%) vs LR/SVC/RF baselines.
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Student Performance
Predicts student scores; R²=0.989 and MSE=4.083 on held‑out data.
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Predict NBA 2K20 Player Salaries
Salary prediction from performance metrics using a linear model.
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Wuzzuf Jobs – 8,000+ Jobs
🔍 8K+ job listings • Egypt market • Public Kaggle datasetScraped 8k+ listings for analytics and predictive modeling.
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Exploratory Data Analysis on Wuzzuf Jobs
Explores market trends and skill demand across the scraped dataset.
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Titanic Data Analysis
Survival patterns by gender, class, and other features with clear visuals.
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Top Ranked Anime – 20,000+ Rows
📺 20K+ anime entries • Ranking analysis • Trend insightsCollected 20k entries enabling ranking, trend analysis, and EDA.
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Indeed Jobs – 2,000+ Rows
Scraped postings to capture skill and salary trends across roles.
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Indeed Jobs Analysis
Insights on popular roles, in‑demand skills, and salary bands.
Skills & Technologies
Programming & Tools
- Python
- SQL
- MySQL
- Git
- GitHub
- Jupyter Notebook
- Google Colab
Machine Learning
- Scikit-Learn
- XGBoost
- GridSearchCV
- Feature Engineering
- MLFlow
- Image Preprocessing
Deep Learning
- TensorFlow
- Keras
- PyTorch
- CNN
- Neural Networks
- Computer Vision
- YOLO
- Object Detection
- Semantic Segmentation
Data Analysis
- Pandas
- NumPy
- Matplotlib
- Seaborn
- Plotly
- Data Preprocessing
- Data Visualization
- Web Scraping
- BeautifulSoup
- Selenium
- Streamlit
- Dash
Soft Skills
- Teamwork
- Communication
- Problem-Solving
- Project Management
- Organization
Languages
- Arabic (Native)
- English (B2)
Key Achievements
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Project Diversity and Depth
With 15+ projects spanning web scraping, ML pipelines, deep learning, and computer vision, this portfolio highlights hands-on expertise across multiple domains.
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Experience and Traineeships
6 roles since 2024, building from IT troubleshooting at EGAS to GenAI at ITI, and Innovation & Entrepreneur from InnovEgypt, demonstrating continuous growth and learning.
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End-to-End Project Delivery & Leadership
Spearheaded a 5-person team to successfully develop and deploy a complete land classification solution. Managed the project lifecycle from initial data analysis and model training (>90% accuracy) to final deployment, ensuring on-time delivery and clear documentation.
Certificates & Licenses
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Deep Learning Fundamentals
Foundational deep learning concepts and practical implementation techniques for neural networks and machine learning models.
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Getting Started with Deep Learning
Comprehensive course covering deep learning fundamentals, computer vision, and neural network architectures with practical implementations.
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AI and Data Science
Comprehensive training program in artificial intelligence and data science, covering machine learning, deep learning, and data analysis techniques.
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Innovation and Entrepreneurship
Innovation and entrepreneurship program focusing on business development, startup strategies, and technological innovation.
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Computer Vision Training
Intensive training in computer vision, CNNs, transfer learning, classification, detection, segmentation, and face recognition.
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Python Programming
Comprehensive Python programming course covering fundamentals, data structures, and programming best practices.