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Biomedical Engineer · ML · Computer Vision · Future MLOps
class Abasy:
name = "Mohamed Jameel Alabasy"
role = "Biomedical Engineer · Cairo University"
location = "Cairo, Egypt"
passions = ["ML", "Deep Learning", "Computer Vision", "Biomedical Data"]
currently = "building deployable AI systems (DevOps + MLOps)"
def goal(self): return "bridge ML models with real-world deployment"I don't just train models — I build complete intelligent systems:
- 🎯 Real-time AI applications (Computer Vision)
- ⚙️ Backend + APIs for ML systems
- 🐳 Containerized deployments (Docker)
- 🔄 CI/CD pipelines for reproducibility
- 📊 Decision-support dashboards (Streamlit)
➡️ My goal: bridge ML models with real-world deployment
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Low-latency CV pipeline for real-time multi-face emotion recognition via webcam. CPU-optimized with stable multi-face tracking.
→ View Repo |
End-to-end live gesture recognition system. Webcam input → YOLOv11 inference → instant game decision in real time. → View Repo |
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AI demand forecasting + inventory optimization for cable polymers. ML predictions → actionable business insights via Streamlit dashboard.
→ View Repo |
Hospital Information System frontend — responsive interface for managing and viewing cardiology department data built with Bootstrap. → View Repo |
- 🐳 Learning Docker & CI/CD pipelines for ML model deployment
- 📈 Building toward full end-to-end MLOps — train, deploy, monitor
- 🫀 Bridging biomedical engineering with real-world AI systems
"It's not about having the best model. It's about shipping the right one."