AI/ML Engineer focused on computer vision and healthcare AI. I build systems that turn medical imaging and clinical data into real-world insights.
- 🧠 Medical imaging AI — multi-organ segmentation with UNet-ResNet34 (88.2% Dice score on CT scans)
- 💊 Health risk prediction — ML classifiers for heart disease & kidney failure with a full-stack web UI
- 🎯 Object detection — YOLOv8 pipeline for drone landing target detection
- 📈 Financial tools — stock & mutual fund analysis web applications
ML / AI
Python · PyTorch · TensorFlow · Scikit-learn · OpenCV · YOLOv8 · Jupyter
Data
Pandas · NumPy · Matplotlib · Seaborn
Web
TypeScript · React · JavaScript · Flask
Tools
Git · Linux · Kaggle · Google Colab
| Project | Description | Tech |
|---|---|---|
| Multi-organ segmentation | Automated liver, pancreas & tumor delineation in CT scans — 88.2% validation Dice | PyTorch · UNet-ResNet34 |
| Health AI predictor | Heart disease + kidney failure risk with a patient-facing React web app | Python · TypeScript · React |
| Drone landing detection | Red bullseye detection dataset + YOLOv8 pipeline for autonomous drone landing | YOLOv8 · Python |
| Stocks & MF analyzer | Investment data dashboard for stocks and mutual funds | Python · Flask |
💼 LinkedIn · 🌐 Portfolio · 📧 Open to opportunities in AI/ML engineering and computer vision