Claire Boetticher is a Senior AI Solutions Engineer at Weights & Biases with a decade of experience building production ML and NLP systems across startups and enterprise teams. Her background spans roles at Hugging Face, DataRobot, and ExxonMobil, blending hands-on model engineering with pragmatic data science and MLOps practices. Based in Austin, she focuses on natural language processing and language-model-powered solutions, helping teams operationalize experiments and scale model-driven products. Claire brings advanced academic training in data science and information studies, plus a curious interdisciplinary foundation in Latin American studies and journalism that informs her user-centered approach. Known for moving quickly between research and deployment, she excels at translating complex NLP techniques into reliable, reproducible workflows for practitioners.
10 years of coding experience
10 years of employment as a software developer
Master of Science (MS) Information Science/Studies, Master of Science (MS) Information Science/Studies at The University of Texas at Austin
Master of Science - MS Data Science, Master of Science - MS Data Science at Northwestern University
Bachelor of Arts (BA) Political Science, Bachelor of Arts (BA) Political Science at Wake Forest University
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Claire Boetticher - Senior AI Solutions Engineer at Weights & Biases