Gray Cannon is a Data Science Manager with nine years of experience building production ML systems and analytics across sports, AR/VR, and enterprise consulting, including roles at Meta and IBM. He leads teams to deliver retrieval-augmented generation chatbots, recommendation systems, and scalable data pipelines on AWS and Azure, while setting software development standards and managing deployments. His background spans research and engineering—designing metrics for Meta’s AR glasses, training transformer models for sports summaries, and shipping probability models for Grand Slam sites. Equally at home defining engagement strategy during bids as he is mentoring engineers, Gray combines product-first thinking with hands-on implementation and a knack for turning motion and telemetry signals into actionable metrics. Based in Atlanta, he also has a track record of creating IP and operationalizing analytics for high-profile sports properties.
9 years of coding experience
7 years of employment as a software developer
Bachelor of Science (B.S.) Business Administration, Bachelor of Science (B.S.) Business Administration at UNC Kenan-Flagler Business School
Bachelor of Science (B.S.) Business Administration, Bachelor of Science (B.S.) Business Administration at University of North Carolina at Chapel Hill
Express web app pulls iTunes data and updates a Mongo db. This data feeds the songsrankings React app.
Contributions:40 pushes, 1 branch in 2 years 6 months
reactfeedsexpressjsmongoexpress
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