Job M

CEO

AICrowdForce • Full-time

Mar 2022 - Present • 4 yrs 2 mos

I specialize in bridging the gap between raw data and intelligent automation. As a dedicated Data Annotation Specialist, I provide the high-quality training data required to build robust Machine Learning (ML) and Artificial Intelligence (AI) models. My expertise lies primarily in Computer Vision (CV) , where I handle complex image annotation and video annotation tasks with a focus on geometric precision. I am proficient in creating exact bounding boxes, detailed polygons for instance segmentation, and precise keypoints for skeleton mapping. Whether the project involves 2D/3D bounding boxes, cuboids, or line annotation, my goal is to ensure that the data fed into the model is clean, consistent, and contextually accurate. I have contributed to training datasets for various industries, including autonomous vehicles (self-driving cars) , robotics, and e-commerce. My work ensures that models can accurately detect objects, understand scenes, and make reliable decisions. Core Competencies: • Annotation Types: Bounding Boxes, Polygonal Segmentation, Semantic Segmentation, Keypoint/Landmark Annotation, 3D Cuboids, LiDAR Annotation. • Domains: Autonomous Vehicles, Geospatial Imagery, Retail, Healthcare Imagery. • Tools: Proficient in [List your tools here, e.g., Labelbox, Scale AI, CVAT, Supervisely, Appen, Clickworker]. I am looking to collaborate with ML engineers and data science teams who require meticulous attention to detail to reduce model bias and improve inference accuracy.