Maxim Efimov is an economic consultant with 10 years’ experience translating large-scale data into courtroom-ready evidence for antitrust and class-action matters. He combines rigorous, reproducible coding in Python, SAS, and Stata with adversarial review skills to audit opposing experts’ models, draft expert reports, and produce persuasive trial exhibits, including spatial visualizations created in QGIS. Based in Chicago, he emphasizes defensibility and quality assurance across technical workflows and maintains reproducible code repositories to support testimony. Beyond economics, he has contributed backend enhancements to the high-profile Envoy proxy—improving access logging and observability—which underscores his practical experience improving production systems and metrics.
10 years of coding experience
Master's degree, Economics, Master's degree, Economics at The University of Bonn
Bachelor's degree, Quantitative Economics, Bachelor's degree, Quantitative Economics at St. Olaf College
Contributions:60 reviews, 7 commits, 18 PRs in 2 years 4 months
Contributions summary:Maxim primarily contributed to the Envoy proxy's access logging and statistics functionalities. They added an extension filter to allow runtime filter registration in access logs and introduced a new TextReadout stat type for improved metric reporting. Further contributions include reflecting xDS version and control plane identifier as text readout stats, enhancing the observability of the system. These modifications demonstrate a focus on improving the proxy's logging, monitoring, and control plane integration capabilities.
Contributions:117 pushes, 35 branches in 5 years 9 months
golangproxyedgeload-balancingperformance
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