Senior Full Stack Engineer (AI & Automation Focus) — Data annotation & AI evaluation for computer vision and LLM workflows
Managed data annotation and dataset preparation for YOLOv5/YOLOv8 object detection using computer vision workflows. Evaluated model outputs through iterative testing to improve precision and recall while addressing common failure cases such as false positives and false negatives. Reviewed AI-generated outputs to ensure guideline compliance and consistency for downstream use. • Annotated image data and prepared datasets using Roboflow. • Applied augmentation and class balancing to improve detection performance. • Debugged inference pipelines and optimized accuracy by targeting false positives/negatives. • Compared multiple model responses and selected optimal outputs based on evaluation guidelines.