- 🌍 Based in: Geelong, Australia
- 🎓 MSc Researcher at Deakin University – School of IT
- 🎓 BSc in Biomedical Engineering from Cairo University (GPA: 3.8/4.0)
- 👨💻 Currently: Software Engineer @ Fanous Health
- 🔬 Research Interests: 3D Reconstruction, Medical Imaging, Generative AI
- 📫 Reach me at: kamel.zaghloul01@gmail.com
- 🧠 Always learning & building – check out My CV
- 🔍 Open to research collaboration & engineering roles
- ⚽ Football Match 3D Reconstruction – Deep learning pipeline to convert 2D match footage into full 3D animation
- 🧠 AI-based Ovarian Cancer Diagnosis – Dual model with anomaly detection reaching 98.74% accuracy
- 🧠 3D Brain Tumor Segmentation – PyTorch + MONAI pipeline for volumetric medical image segmentation
- 🌪️ Carrington Event Predictor – NASA Space Apps Winner – AI to forecast geomagnetic storms
- 🚗 License Plate Detection – OCR-powered vehicle plate recognition with 95% accuracy
- Rethinking Targeted Data Poisoning in Voice Authentication – Submitted May 2025
Kamel Kamel, Sunil Aryal, Keshav Sood
- 🥇 NASA Space Apps Cairo 2023 – Best AI Use
- 🥇 NASA Space Apps Cairo 2022 – Best Space Solution
- 🌍 Global Finalist (NASA Space Apps 2022)
- 🥉 STP Mackathon 3.0 – 3rd Place
Languages:
Python, C++, C, C#, Java, JavaScript, TypeScript, SQL
AI/ML:
TensorFlow, PyTorch, MONAI, scikit-learn, Computer Vision, Deep Learning
Backend & APIs:
NestJS, ExpressJS, ASP.NET, Flask, Django, NodeJS
Frontend:
ReactJS, NextJS, Unity, Qt
DevOps & Cloud:
Docker, Docker Swarm, Kubernetes, AWS, Azure, GCP, CDK
Databases:
PostgreSQL, MongoDB, MySQL, SQL Server
Version Control:
Git, GitHub, Bitbucket, Jira, GitHub Projects
