Machine Learning Engineer – Model Fine-tuning and Annotation
As a Machine Learning Engineer at Chrp Technologies, I fine-tuned and trained detection and classification models using large-scale labeled image datasets. I structured image data and performance metrics to reduce false positives and improve detection accuracy in electrical panel inspections and hazard identification. AI model training duties focused on robust annotation and pipeline deployment for automated home inspections. • Fine-tuned RGB-D detection models on annotated images to enhance defect detection accuracy. • Managed hierarchical image classification supporting multiple categories and sub-categories. • Oversaw model training on approximately 100,000 images per label for detection/classification purposes. • Integrated advanced training techniques including depth-aware models and custom loss functions for improved annotation alignment.