Ryan Eshleman is a senior software engineer in San Francisco with 11 years of experience building scalable data and analytics systems, currently driving work at Datadog. He has a strong track record in health analytics and sensor-data platforms, having architected big-data pipelines, novel geo-spatial indexing and cleaning methods, and distributed statistical analysis that scaled to billions of events. Ryan blends research and production savvy—holding an M.Sc. in Computer Science with peer-reviewed publications and conference presentations—so he routinely translates academic techniques into hardened cloud services. He’s led teams from prototyping to v1 delivery, growing engineering groups and collaborating closely with data science and business stakeholders. Notably, he redesigned data-quality frameworks to move from monolithic to sharded distributed systems, cutting runtimes from hours to minutes.
11 years of coding experience
7 years of employment as a software developer
Master of Science - M.Sc Computer Science, Master of Science - M.Sc Computer Science at San Francisco State University
Bachelor's Cum Laude Comparative Literature, Bachelor's Cum Laude Comparative Literature at UC Santa Barbara
Contributions:1 PR, 27 pushes, 1 branch in 6 months
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