Rob Senseman is a data-focused engineer with a decade of experience building analytics and ML infrastructure across startups and tech giants. He’s worked on end-to-end data platforms and internal tooling that connect modelers to remote and distributed compute at Cash App, and previously drove analytics engineering and ML frameworks at Flexport and VR-focused advanced analytics at Meta. Now based in Denver and working at Candid Health, he blends hands-on data engineering with applied data science to move models from research into production. Trained as a mechanical engineer and later in a data science immersive, Rob brings a pragmatic, systems-oriented approach—equally comfortable bending sheet metal early in his career as designing scalable data workflows today.
10 years of coding experience
9 years of employment as a software developer
Data Science Immersive, Data Science Immersive at Galvanize Inc
Bachelor of Engineering Mechanical Engineering, Bachelor of Engineering Mechanical Engineering at Vanderbilt University
Work for Harvard's CS50W: Web Programming with Python and JavaScript
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