Cody Kesler is a Senior Data Scientist with nine years of experience building production ML systems and advancing deep learning research across industry and national labs. He has led projects from synthetic dataset libraries and computer vision for wildlife monitoring to classification of network assets and customer-facing GenAI chatbots, consistently moving prototypes into production. Currently at H&R Block, Cody designs ML frameworks for tax preparation and evaluates GenAI applications for customer support, combining applied research with pragmatic engineering. His background in applied mathematics and ongoing OMSCS studies at Georgia Tech complement a track record of optimizing code and producing actionable insights for non-profits and federal research. Notably, he authored tooling for synthetic data generation in Julia that supported broader deep learning experiments—an example of translating research-grade work into reusable software.
9 years of coding experience
9 years of employment as a software developer
Online Master of Computer Science (OMSCS) Computer Science, Online Master of Computer Science (OMSCS) Computer Science at Georgia Institute of Technology
Bachelor’s Degree Applied Mathematics, Bachelor’s Degree Applied Mathematics at Brigham Young University
Contributions:2 PRs, 7 pushes, 1 branch in 1 year 6 months
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