Ahmed Maher AbdRabbo
AI Engineer & Data Scientist
Transforming Data into Intelligent Solutions through Machine Learning & Deep Learning
AI Engineer & Data Scientist
Transforming Data into Intelligent Solutions through Machine Learning & Deep Learning
I'm a passionate AI Engineer dedicated to transforming complex data into intelligent solutions. My journey in artificial intelligence has been driven by curiosity and excellence, resulting in high-performance systems that solve real-world challenges. From conversational AI platforms achieving 96% accuracy to predictive analytics with 90%+ validation rates, I focus on creating technology that delivers tangible results. My expertise spans the complete AI development lifecycle—designing neural architectures, optimizing models, and deploying production-ready solutions using PyTorch and TensorFlow. I thrive on pushing the boundaries of machine learning, computer vision, and natural language processing to build the next generation of intelligent systems.
Egyptian E-Learning University (EELU), Sohag
Instant Academy
National Telecommunication Institute (NTI)
Huawei ICT Academy
Sprints x Microsoft
MEC Academy
Aitronix x Eduzah
Successfully completed intensive AI internship with hands-on experience across multiple domains: deep learning for medical imaging, NLP for sentiment analysis, computer vision for disease classification, and workflow automation using AI-powered tools. Gained expertise in CNNs, LSTMs, and real-world AI implementations.
Genius Technology Center (GTC)
Completed intensive 60-hour ML Track covering full pipeline from data preparation to deployment. Achieved 99.6% final score. Built "Land Type Classification using Sentinel-2 (EuroSAT)" computer vision project for satellite imagery classification.
Instant Software Solutions
Developed production-ready AI solutions across NLP, Computer Vision, Medical Imaging, and Generative AI. Built end-to-end ML pipelines using CNNs, RNNs, Transformers, and Diffusion Models with Flask/Gradio deployment. Delivered complete data science projects integrating MySQL, Python analytics, and Power BI dashboards.
Uneeq Interns
Developed 3 ML solutions: Customer Churn Prediction, Recommendation System (24.9M+ ratings), and CNN Digit Recognition (99.20% accuracy). Performed EDA, feature engineering, SMOTE for class imbalance, and model validation using cross-validation. Deployed production-ready models using Flask. Honored as best Machine Learning intern in August 2025 batch.
Codveda Technologies
Completed structured ML program covering supervised, unsupervised, and deep learning techniques across 9 hands-on projects. Built end-to-end ML pipelines including data preprocessing, feature engineering, model training, and performance evaluation. Implemented core algorithms using Scikit-learn and TensorFlow.
RaiZero
Worked on AI-driven projects, designing and implementing machine learning solutions and data-driven applications. Gained hands-on experience in AI, data analysis, problem solving, object-oriented programming, and developing Java desktop applications.
Ultra-fast AI image generation using Stable Diffusion v1.5 with xformers optimization. Generates 512x512 images in 3-5 seconds with Gradio web interface.
Dual AI models combining ResNet-18 (92.16%) for classification and U-Net (99.63%) for segmentation. Complete Flask deployment with medical-grade processing pipeline.
State-of-the-art NLP system with BART-Large-CNN for summarization and RoBERTa-SQuAD2 for Q&A. Smart chunking for long documents with Flask deployment.
Classical ML approach with 95.89% accuracy using HOG features and ensemble methods. Interpretable results with 7+ algorithms comparison.
Hybrid recommendation system combining Content-Based and Collaborative Filtering on 62K+ movies and 25M+ ratings with Flask deployment.
Bidirectional LSTM achieving 92% accuracy on 74K+ tweets. Real-time sentiment classification (Positive/Negative/Neutral) with Flask deployment.
Random Forest model achieving 92.79% accuracy with 98.45% AUC-ROC. Complete business analytics with SMOTE for class imbalance and feature importance analysis.
I'm actively seeking opportunities to contribute to innovative AI projects and collaborate with forward-thinking teams. Whether you're interested in discussing cutting-edge machine learning solutions, exploring potential partnerships, or simply connecting with a passionate AI engineer, I'd be delighted to hear from you.
Get a comprehensive overview of my skills, experience, and education in AI Engineering and Data Science.