Christopher Hanes is a software engineer with over a decade of experience building production systems across startups and enterprise organizations, currently applying his skills at Numerai. He transitioned from full-stack and Java enterprise work into data engineering and machine learning, serving as Chief ML Engineer at Celéri Health and building predictive pipelines at DecisionIQ. Christopher pairs deep analytics training from Georgia Tech with practical ML products—his long-running personal project predicting daily fantasy baseball scores evolved from intuition to an optimized linear-regression solution. He has experience launching MVPs and owning end-to-end technical decisions as a former CTO, and earlier work contributed to genomic and medical imaging software that supported research efforts. Known for tackling hard data problems in production, he brings a blend of software craftsmanship, statistical modeling, and product-focused engineering. Based in Atlanta, he enjoys pushing projects from prototype to measurable impact and is particularly interested in NLP and deep learning next steps.
11 years of coding experience
11 years of employment as a software developer
Basic Medical Science, Basic Medical Science at Wayne State University
Master's degree, Analytics, Master's degree, Analytics at Georgia Institute of Technology
BS, Computer Science, BS, Computer Science at University of Michigan
Contributions:7 pushes, 1 branch in 2 years 3 months
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