Hi, I'm
Mahmoud Elshoraky.
I transform complex data into intelligent systems โ from predictive models to deep learning architectures that solve real-world challenges.
About Me
I'm Mahmoud Youssef Elshoraky, an AI & Machine Learning Engineer based in Egypt ๐ช๐ฌ. I specialize in building intelligent systems that bridge the gap between mathematical theory and practical impact.
From designing custom CNNs for image classification to crafting NLP pipelines for text analysis, and building IoT-powered healthcare systems โ I'm driven by the challenge of turning raw data into actionable intelligence. I thrive on continuous learning and pushing the boundaries of what AI can achieve.
Technical Skills
My end-to-end toolkit for building, training, and deploying AI solutions.
Programming
Machine Learning
Deep Learning
Data Analysis
Data Visualization
Domains & Tools
Featured Projects
Intelligent IoT-Based Smart Healthcare System
Real-time patient monitoring using IoT sensors and ML classifiers for autonomous anomaly detection.
- Real-time physiological anomaly detection
- ML Classifier models on IoT sensor data
- Rapid detection of alarming health conditions
Clothes Image Classification Using CNN
Custom deep learning architecture for automated visual apparel categorization at scale.
- Automated clothing catalog categorization
- Custom CNN architecture with optimized hyperparameters
- High accuracy across multiple apparel classes
Sales Data Analysis Project
Comprehensive EDA and interactive dashboards uncovering strategic business intelligence from enterprise sales.
- Hidden insights from raw consumer sale logs
- EDA + Power BI visualization dashboards
- Data-backed revenue optimization decisions
NLP Text Classification Project
Intelligent NLP pipeline for automated sorting and categorization of massive unstructured text corpora.
- Automated text document sorting at scale
- NLP vectorization + ML classification models
- Near-instant processing with high precision
Machine Learning Workflow
A rigorous, industry-standard pipeline I follow to ensure data integrity and model performance.
Data Collection & Cleaning
Gathering raw data, handling missing values, removing outliers, and normalizing formats.
EDA & Feature Engineering
Exploring distributions, discovering correlations, and selecting optimal predictive features.
Model Training
Selecting algorithms, fitting models to data, and validating against rigorous benchmarks.
Evaluation & Optimization
Testing Accuracy, F1-Score, and fine-tuning hyperparameters for maximum generalization.
Ready to Build Something Intelligent?
Looking for an AI/ML engineer? Let's discuss how data-driven solutions can transform your challenges into opportunities.
Let's TalkExplore My GitHub
Dive into my repositories โ clean, well-documented codebases showcasing deep learning architectures, data analysis pipelines, and end-to-end AI solutions.
Visit GitHub ProfileLet's Connect
Have a project in mind or want to collaborate? Reach out!