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Roboflow
CVAT
Label StudioNo subject matter listed
Computer Code Programming
Image
VideoData Annotation Specialist with strong proficiency in applying consistent and accurate labels across diverse datasets. Experienced in bounding boxes, polygons, keypoint detection, instance/semantic segmentation, and transcription. Collaborative team contributor, detail-oriented, experienced with industry tools including CVAT, Label Studio, Labelbox, and Roboflow. AI Developer & Trainer with a strong passion for building, training, testing and deploying machine learning and deep learning systems with hands on experience in fine-tuning state of the art NLP and computer vision models using frameworks like PyTorch, TensorFlow, Hugging Face, and RoboFlow , optimizing and deploying inference pipelines. I Combine a solid software engineering foundation and a passion for solving real-world problems with practical AI solutions.
Use segmentation to clearly annotate pizza to prepare data data for a pizza segmentation model trained available on Roboflow Universe.
Identify the planes using bounding box in the aerial images provided to create a dataset on Roboflow Universe for the purpose of training a custom RF-DETR model to detect planes in aerial images.
Use bounding boxes to annotate cars, buses, ambulances, motorcycles and trucks in the provided images using CVAT as an annotation tool.
Use bounding box to determine the violent and non violent characters in the video caption with label studio.
Use bounding box to annotate the runner inside the provided video caption. The dataset was exported in COCO format and uploaded and available on Kaggle.
Bachelor of Science, Computer Science
Full Stack Software Developer
AI Developer
