🎓 AI & MLOps Engineer | Building Intelligent Systems for Healthcare, Telecom & Banking
💡 Biomedical Engineering Graduate – Cairo University, Egypt | Studying AI & CloudOps in Canada (Sheridan College)
I’m a Biomedical Engineer who found her passion in bridging healthcare and intelligent technology — turning real-world operational challenges into data-driven, automated solutions.
I’ve always believed that innovation in healthcare shouldn’t only be about medical devices or diagnostics — it’s also about building smarter systems that make hospitals, clinics, and patient workflows run better, safer, and faster.
Right now, I’m working on AI and MLOps systems that focus on operational intelligence, automation, and compliance — with the goal of connecting technology and healthcare in meaningful ways.
My work spans MLOps, cloud engineering, and AI pipelines, with hands-on experience across healthcare, telecommunications, and banking platforms.
- MLOps & Automation: designing model training and deployment pipelines, monitoring, and alerting systems.
- Healthcare AI Systems: building privacy-aware data pipelines, PHIPA-compliant automation, and predictive analytics for clinical operations.
- Cloud Architecture: working with AWS, Supabase, Docker, and serverless environments to deploy scalable applications.
- Cross-Industry Intelligence: developing solutions for telecom data processing, financial risk analytics, and healthcare workflow improvement.
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🩺 SLA Monitoring & Alert Engine
Built an end-to-end system using Supabase, OpenAI, and Python to monitor SLA breaches, send AI-generated alerts, and visualize performance trends on a dashboard.
It’s designed for healthcare and service operations where fast, human-like incident response matters. -
🧾 PHIPA Privacy Governance System
Automated the tracking of PHIPA compliance for healthcare data systems — integrating risk assessment logic, access control, and data-flow mapping.
This project deepened my interest in how AI governance and health data privacy work together in real-world applications. -
🧠 AI for Healthcare Lab
A self-driven exploration lab where I study and build prototypes around FHIR data, hospital wait-time prediction, diabetes readmission analysis, and machine learning for clinical operations.
I use it as a long-term space to combine data, cloud, and domain understanding in healthcare. -
📶 IMEI Intelligence Platform (NTRA, Egypt)
Developed under Giza Systems, this telecom project automated IMEI analysis and device registration intelligence using data pipelines and dashboard integrations.
It taught me how large-scale data operations work and how to handle data reliability in production systems.
- Using AI & automation to improve hospital triage and scheduling systems.
- Applying MLOps workflows in clinical data environments while maintaining patient data privacy.
- Exploring how FHIR APIs and EHR data can connect to AI dashboards for decision support.
- Bridging my experience in telecom and banking analytics to build scalable infrastructure for healthcare use cases.
For me, AI isn’t just about algorithms — it’s about building systems that understand context and help people.
Whether it’s helping a hospital make better decisions, a telecom network detect issues faster, or a team automate what used to take hours — I want to design solutions that actually make work smoother and more human.
I’m drawn to projects that balance precision, purpose, and creativity, where engineering meets empathy.
🩵 Currently based in Ontario, Canada – learning, building, and contributing to the future of AI in healthcare operations.