Available for opportunities

Crafting the
Future of Medical AI

Ahmed Refaat Mokhtar — ML Engineer & AI Developer building intelligent systems that bridge cutting-edge research and real-world healthcare impact.

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Ahmed Refaat Mokhtar
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Who I Am

Turning Data Into
Medical Impact

I'm Ahmed Refaat Mokhtar, a Computer Science student at Culture & Science City (CSC), graduating 2026 with GPA 3.3. My passion lives at the intersection of artificial intelligence and healthcare.

From CNN emotion detectors to full-stack medical AI APIs serving 7 disease-classification models, I bring end-to-end ML engineering experience — from Kaggle notebook to production deployment.

I also work with IoT architectures, NLP pipelines, and Power BI dashboards — communicating data stories as clearly as I build the models.

Medical AI Computer Vision NLP FastAPI Streamlit IoT Power BI Deep Learning
🎓
Education
B.Sc. Computer Science
CSC · Expected 2026 · GPA 3.3
📍
Location
October, Giza · Egypt
🧠
Focus Area
Medical AI
Computer Vision · NLP
📧
Contact
morefaat68@gmail.com
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Currently Building
Unified FastAPI serving 7 medical AI models (skin, eye, brain, lung, kidney, heart, breast) on Hugging Face Spaces — with Arabic medical report generation.
Capabilities

Skills & Expertise

A curated stack built through real project work, not just tutorials.

Programming & Data
Python95%
Pandas / NumPy90%
SQL80%
Matplotlib85%
ML / AI
TensorFlow / Keras90%
Scikit-learn88%
OpenCV82%
NLP / LLMs78%
Tools & Platforms
FastAPI85%
Streamlit88%
GitHub85%
Power BI80%
Portfolio

Featured Projects

Real systems. Real data. Real impact.

01 — FLAGSHIP
Unified Medical AI API — 7 Disease Models
A production FastAPI backend serving 7 specialized medical AI models (skin, eye, brain, lung, kidney, heart, breast cancer) with per-disease endpoints, segmentation masks, and Arabic medical report generation. Deployed with Docker on Hugging Face Spaces.
FastAPITensorFlowDockerKerasHugging FaceArabic NLP
Live on HF Spaces View Live
02
CNN Emotion Recognition
Deep CNN for facial emotion recognition with preprocessing, augmentation, and deep learning optimization.
CNNOpenCVKeras
96% Accuracy View on GitHub
03
Twitter Sentiment Analysis
Full NLP pipeline using tokenization, TF-IDF, word embeddings, Logistic Regression and LSTM for tweet sentiment classification.
NLPLSTMTF-IDF
97% Accuracy View on GitHub
04
Multi-Disease Health Predictor
Predictive system for Diabetes, Heart, Alzheimer's & Kidney diseases using SVM, KNN, Random Forest with a Streamlit interface.
StreamlitSVMRandom Forest
Medical AI View on GitHub
05
Customer Churn Prediction
EDA + ensemble ML pipeline using Logistic Regression, Decision Tree, and Random Forest for customer churn prediction.
EDARandom ForestPandas
95% Accuracy View on GitHub
06
Real Estate Price Predictor
Housing price estimation using Linear Regression, Random Forest, and XGBoost with feature engineering.
XGBoostLinear Reg.Feature Eng.
Regression View on GitHub
07
Clinic Management System
Comprehensive system for patient registration, appointment scheduling, medical records with AI-powered analytics dashboards.
PythonAIDashboard
Healthcare View on GitHub
My Journey

Education & Experience

The path that shaped my expertise.

2024 — PresentExperience
AI & Data Projects — Freelance / Academic
Independent · Cairo, Egypt
Built CNN emotion recognition (96%), NLP sentiment models (97%), real estate predictors, Power BI dashboards, medical AI classification systems, and ensemble ML pipelines with Random Forest, XGBoost, and VotingClassifiers.
2022 — 2026Education
Bachelor of Computer Science
Culture & Science City (CSC) · Giza, Egypt
GPA: 3.3/4. Core CS fundamentals plus ML, distributed computing, system architecture, and IoT development. Expected graduation 2026.
2023Training
ML & Advanced Deep Learning Training
Mindset Academy · 90 hours
Python, NumPy, Pandas, Matplotlib, Scikit-learn, SQL, classical ML, and advanced deep learning architectures.
2023Training
Machine Learning Diploma
NTI · 120 hours
Deep dive into ML algorithms, model evaluation, feature engineering, and deployment strategies.
2023Certificate
AI for All — GenAI Practice
ITI · NVIDIA
Generative AI foundations, neural network architectures, and practical application development using NVIDIA's ecosystem.
2022Training
Programming Fundamentals
Supply Training Academy · Python, Java, C++ · 90 hours
Multi-language programming, data structures, algorithms, and software engineering principles.
Credentials

Training & Certificates

Continuous learning is the only competitive advantage that compounds.

AI for All — GenAI Practice
ITI · NVIDIA
Machine Learning Diploma
NTI · 120 hours
AI & ML Training
Mindset Academy · 90 hours
Data Analysis Camp
Alaa Essam Camp · Excel, Power BI, SQL · 60h
Network Fundamentals (CCNA)
Supply Training Academy · 90 hours
Python for Data Analysis Diploma
Udemy — Eng. Mustafa Othman · 41 hours
Machine Learning Diploma
Udemy — Eng. Mustafa Othman · 34 hours
Deep Learning MiniCamp
Udemy — Eng. Ahmed Mostafa
Practical ML for Data Scientists
ITI Platform · 14 hours
AI and ML Summer Camp
Aprints · 40 hours
Programming Fundamentals
Supply Training Academy · Py, Java, C++ · 90h
Artificial Intelligence Project
Udemy — Eng. Mustafa Othman
Open to Opportunities

Let's Build Something
Amazing Together

Whether you need an ML engineer, a medical AI collaborator, or a driven CS graduate — I'm ready to bring ideas to life.

Send a Message Download CV