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CVATNo subject matter listed
TextI am a detail-oriented AI data annotator with hands-on experience in labeling and preparing large-scale datasets for machine learning models, primarily in decentralized and blockchain-integrated environments. My work at Bittensor involved annotating data for both natural language and computer vision AI subnets, collaborating with global teams to ensure data accuracy and model reliability. At Theta Network, I specialized in prompt engineering and built efficient data pipelines for multimedia and video AI workloads, while also ensuring secure, tamper-proof data through blockchain integration. With a background in physics and strong analytical skills, I excel at reducing annotation errors and interpreting complex data patterns. I am proficient in tools such as LabelStudio, CVAT, and Python, and am passionate about contributing to high-quality AI training datasets that drive model performance.
It is a decentralized blockchain protocol that creates an open marketplace for machine intelligence where AI models compete and contributors earn tokens.
Bachelor of Science, Physics
Prompt Engineer
Data Annotator
