Computer Vision Engineer Resume Example

“Computer vision engineer with 5 years developing image and video analysis systems for manufacturing quality inspection, autonomous vehicles, and medical imaging. Expert in CNNs, object detection (YOLO, Detectron2), and deploying real-time vision models on edge devices.”

• Built a real-time defect detection system for a manufacturing line using YOLOv8. 98.5% accuracy at 30 FPS on edge devices
• Developed a medical image segmentation model for tumor detection in CT scans. 0.92 Dice coefficient validated on 10,000+ images
• Optimized the object detection model for autonomous vehicle perception - cut inference time 60% with TensorRT quantization on NVIDIA Jetson
• Built a video analytics pipeline that processes 500+ camera feeds at once for retail foot traffic. 95% person detection accuracy
• Designed an active learning pipeline that reduced annotation costs by 70% while actually improving model performance through smarter sample selection
• Responsible for collecting and curating training datasets. Worked with domain experts to define labeling guidelines for each project
• Wrote data augmentation pipelines (rotation, flipping, color jitter, cutout) to boost training performance on small datasets
• Deployed models to edge devices and wrote the inference server code that interfaces with cameras and production systems
• Ran weekly experiments comparing model architectures and hyperparameters. Documented results in Weights & Biases

Include these keywords in your resume to pass Applicant Tracking Systems.

• NVIDIA Deep Learning Institute Certification
• AWS Certified Machine Learning - Specialty