Junior AI Engineer — Black Sigatoka Early Stage Detection System
Developed a computer vision pipeline for early-stage banana leaf disease detection using YOLO. Built and trained a YOLO model for seven disease stages with strict dataset handling, augmentation, and hyperparameter tuning. Deployed the model as a FastAPI inference service with validation, error handling, and Dockerized production deployment. • Prepared dataset with image quality checks, tiling, and stratified train/val/test splits • Trained YOLO12n on a unified 7-class mapping with augmentation and tuning • Implemented FastAPI inference with robust validation and low-latency model caching • Containerized and documented deployment using Docker and Docker Compose