Christopher Larsen is a data-driven software engineer with 9 years of experience, currently building analytics and ML-driven products at aTyr Pharma in Colorado Springs. He has led end-to-end development of data pipelines and platforms that cut sample analysis costs by 90% and defined the company’s machine learning strategy. His expertise spans distributed systems, applied ML, and production data engineering, turning research needs into deployable tooling. Comfortable at the intersection of biology and software, he translates complex experimental workflows into scalable, automated systems. A pragmatic problem-solver with a formal CS background from CSU San Marcos and Palomar College, he favors measurable impact and reproducible results. Colleagues describe him as someone who pairs scientific curiosity with production-grade engineering.
9 years of coding experience
Computer Science, Computer Science at Palomar College
Bachelor of Science (B.S.), Computer Science, Bachelor of Science (B.S.), Computer Science at California State University San Marcos
Google-provided Cloud Dataflow template pipelines for solving simple in-Cloud data tasks
Contributions:34 pushes, 4 branches in 3 months
data-cloudgcpsolvinggoogle-cloud-platformbigquery
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