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Head of AI Science
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I am an experienced AI scientist and data professional with a strong background in designing and implementing data pipelines, annotation workflows, and AI training data systems across domains such as NLP, simulation, and autonomous systems. My work has included architecting end-to-end platforms that leverage LLMs for automated content generation, developing behaviorally anchored performance assessment algorithms, and creating explainable AI solutions to increase user trust in machine learning models. I have hands-on expertise with Python, SQL, PyTorch, TensorFlow, and HuggingFace, and have led teams in building, labeling, and validating high-quality datasets for both academic and operational AI applications. My experience spans technical documentation, data visualization, and the integration of ML algorithms into real-time and large-scale environments, ensuring that data quality and annotation accuracy drive model performance and project success.
Phillip D. hasn’t added any AI Training or Data Labeling experience to their OpenTrain profile yet.
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Head of AI Science
Research Scientist II