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Freelancer Overview

I am a Computer Vision and AI Data Specialist with end-to-end expertise in the AI data pipeline, from annotation and labeling to model evaluation and refinement. My hands-on experience includes data labeling for computer vision using tools like LabelMe and custom Python/OpenCV interfaces, as well as direct model improvement work for language and audio AI through prompt engineering and output evaluation at Outlier. This holistic view allows me to bridge data quality and model performance effectively. What distinguishes me is my ability to design and implement custom annotation tools and workflows, such as an interactive system for biomechanical phase labeling in sports. I have worked with diverse data types image, video, temporal pose data, and generative AI outputs with a consistent focus on precision and scalability. My technical skills in Python, TensorFlow, MediaPipe, and Streamlit, supported by a strong analytical background in statistics, enable me to build, validate, and optimize annotation processes that deliver reliable, high-quality training data for AI systems.

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