Hudl Project
The project involved watching video of an american football game and identifying different actions and steps and scores of different plays across the game.
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I am a highly motivated AI/ML specialist with hands-on experience in evaluating large language models and enhancing Human-in-the-Loop systems. My background includes designing and implementing evaluation criteria for AI-generated content, performing comprehensive error classification, and supporting ethical AI initiatives by identifying biases and safety concerns. I have practical skills in data labeling, annotation, and pre-processing for machine learning and NLP projects, using tools like NumPy, PyTorch, TensorFlow, and annotation platforms. My experience spans both academic research and industry settings, where I have contributed to the development and validation of AI models, improved data quality, and ensured accurate, reliable training datasets. I am passionate about optimizing AI systems for accuracy, fairness, and compliance, leveraging my strong technical foundation in Python and SQL, and my keen attention to detail in data analysis and technical reporting.
The project involved watching video of an american football game and identifying different actions and steps and scores of different plays across the game.
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