Sara Steele is a machine learning specialist with 12 years of experience building end-to-end data products across e-commerce, travel, finance, and biological research, translating prototypes into production systems that have delivered multi-million-dollar impact. She combines hands-on ML engineering (Python, Spark, AWS, Sagemaker, Airflow) with data engineering and DevOps practices to scale pipelines that process tens of terabytes and thousands of searches per second. As a leader she has managed and mentored teams, standardized best practices, and driven cost-and-accuracy optimizations—e.g., replacing managed forecasting services with a DeepAR-based custom stack that cut costs 70% and improved accuracy 40%. Her recent freelance work includes fine-tuning LLMs with domain expert texts and providing cross-domain consulting in wellness, arts, and local business analytics. Rooted in a neuroscience background, she brings a distinctive focus on human motivation and perceptual modeling to product design and ML experimentation.
12 years of coding experience
8 years of employment as a software developer
New York University
Bachelor of Arts (B.A.), Neuroscience and Behavior, Bachelor of Arts (B.A.), Neuroscience and Behavior at Columbia University in the City of New York
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