"Every line of code is a step toward innovation."
Hi! I’m Arshia Moghbel, a passionate software engineer building elegant solutions with Swift and Python.
I combine AI and healthcare interests by working on projects like medical image analysis and natural language processing (NLP). Deep learning methods (especially CNNs) are highly effective for medical image segmentation and classification, which is exactly my area of focus. Similarly, NLP is rapidly transforming healthcare — my projects mirror these trends.
I’m constantly learning tools that boost productivity and code quality, like GitHub Actions (for CI/CD workflows) and Docker (for reliable deployments). Also, I practice Machine Learning and Clean Code principles to deliver readable, maintainable solutions.
- Programming Languages: Swift (iOS/macOS development), Python (data science, ML)
- AI & ML: CNNs, NLP, TensorFlow/PyTorch, Data Analysis
- Developer Tools: Git, GitHub Actions, Docker, Xcode, XCTest, Core ML, Create ML
- Practices: CI/CD, Clean Code, Test-Driven Development, Agile Methodologies
- Other: HTML/CSS/JavaScript basics, version control, collaboration
| Project | Description |
|---|---|
| 🏥 Medical Image Analysis (CNN) | Built a system that analyzes medical scans (MRI/X-ray) using CNNs for segmentation and anomaly detection. |
| 🔢 Medical NLP | Applied NLP to parse and summarize clinical records and research abstracts. |
| 📱 Swift Health App | Developed an iOS app to track health data using Swift and Apple frameworks. |
📣 Let's Collaborate and Build Amazing Things Together!