Hire Chejarla E. - Computer Vision Engineer

* Developed computer vision models for object detection, image classification, and defect detection using Python, OpenCV, PyTorch, and TensorFlow. * Built and optimized deep learning pipelines for industrial AI and robotic vision applications. * Trained and fine-tuned YOLO-based models to improve object detection accuracy across custom datasets. * Performed image preprocessing, annotation, and augmentation to improve dataset quality and model performance. * Generated synthetic image datasets to improve training diversity, reduce data collection effort, and enhance model accuracy. * Worked on synthetic defect data generation for industrial inspection use cases to support robust model training. * Worked on real-time inference systems for robotics, automation, and quality inspection use cases. * Collaborated with cross-functional teams to build AI-powered solutions for intelligent robotic systems. * Improved model efficiency and inference speed using CUDA and GPU acceleration techniques. * Tested and validated computer vision models in real-world industrial environments to ensure reliable performance. * Worked with large image datasets to develop scalable training pipelines for computer vision applications. * Assisted in the deployment and monitoring of computer vision models for industrial automation and inspection systems.