Hi, I'm Rodina Sabry — a Computer Science student at Egyptian Chinese University (ECU), Cairo, Egypt, expected to graduate in 2027.
I'm an AI builder who enjoys turning data into intelligent, real-world solutions. My focus areas are Machine Learning, Artificial Intelligence, Computer Vision, and Data Engineering — and I'm especially drawn to projects that create measurable impact in healthtech and edtech.
I build end-to-end systems: from data pipelines and model training to deployment and explainability. I care about writing clean, production-style code and shipping things that actually work.
Currently, I'm actively seeking ML Engineer or AI Engineer internships, and I'm open to freelance opportunities in AI and data engineering.
🎓 BSc Computer Science & Information Systems — Egyptian Chinese University
📍 Cairo, Egypt
🔍 Open to: Internships · Freelance · Remote Collaborations
🌱 Currently deepening: MLOps · Deep Learning · LLMs
💡 Passionate about: AI that solves real problems, not just benchmarks
A full agentic AI system that predicts student academic risk (HIGH / MEDIUM / LOW) using a multi-stage pipeline combining Fuzzy C-Means clustering, SVM classification, SHAP explainability, and ARIMA time-series drift detection. Generates personalized intervention plans, automated reports, and email alerts. Stack: |
An end-to-end distributed streaming pipeline that detects financial fraud in real time. Ingests live transaction data, identifies suspicious activities, triggers automated alerts, and persists results for analytics — built entirely on production-grade big data infrastructure. Stack: |
An end-to-end ML web application that predicts diabetes risk from patient health indicators. Features a fully deployed, interactive Streamlit interface with a trained classification pipeline — live and accessible to anyone. Stack:
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Currently working on additional AI and data engineering projects. Check back soon or follow my GitHub to stay updated. |
| 🏅 Achievement | Details |
|---|---|
| 🚀 NASA Space Apps Cairo Hackathon | Participant — Built innovative solutions for real-world space & sustainability challenges |
| 🤖 DeepX Hackathon | Participant — Developed an AI-driven solution in a competitive team environment |
| 🧠 Agentic AI System (ISPS) | End-to-end multi-model pipeline: FCM + SVM + SHAP + ARIMA + automated decision engine |
| 📡 Real-Time Fraud Detection | Production-style distributed streaming pipeline using Kafka, Cassandra & Docker |
| 🌐 Live ML Deployment | Deployed diabetes prediction app on Streamlit Cloud with real-time inference |
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│ 🔍 ML Engineer Intern / AI Engineer Intern │
│ 💼 Freelance AI & Data Engineering Projects │
│ 🌍 Remote or Cairo-based opportunities │
│ 🏥 Healthtech | 📚 Edtech | 🤖 AI-powered Products │
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Open to internships, freelance collaborations, and interesting AI conversations. Feel free to reach out — I'd love to connect.
"The goal is not to build models — it's to build impact."