Carl Ward is a Senior Machine Learning Engineer with over a decade of experience applying data science to high-leverage business problems, currently building production ML at Checkr after a recent skiing-and-learning sabbatical. He has deep hands-on expertise in end-to-end ML systems—from Airflow-driven ETL and Spark on EMR to SageMaker deployment—and a track record of delivering personalized recommendation and churn-prediction models that directly influenced product strategy and revenue. Promoted repeatedly at Udacity, he also led a team to architect a graph-based personalized learning algorithm and automated NLP pipelines using state-of-the-art transformers. Comfortable consulting across domains, he has built AI assistants for academic research and advised health-tech teams on ML targeting and experimentation. Based in San Francisco, he pairs an MS in Computer Science with practical engineering chops and a research background in computational inverse problems, reflecting both production focus and analytical depth.
11 years of coding experience
9 years of employment as a software developer
University of California, San Diego
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at Georgia Institute of Technology
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