Summary
Jeffrey Mcgovern is an implementation-driven software engineer with 11 years of experience building scalable data systems and APIs in large cloud environments, currently focused on data systems at Coactive AI. He has deep systems programming expertise in C++, Java, and Python and a track record at Google delivering BigQuery features like Dynamic Data Masking, Analytics Hub control plane services, and column-level security for millions of tables. Jeffrey moves between low-level, high-performance service code and coordinating cross-team product alignment, shipping critical masking and authorization logic that impacted thousands of customers. His background blends practical industry engineering with academic research—he published bioinformatics papers and a master’s thesis on k‑NN and DBSCAN analyses—revealing curiosity for applying algorithmic and statistical techniques to real-world problems. Based in San Jose, he’s known for rapid prototyping (e.g., delivering a DATE_YEAR_MASK implementation in under three weeks) and for translating complex requirements into robust, scalable implementations.
11 years of coding experience
7 years of employment as a software developer
California Polytechnic State University, San Luis Obispo
Associate's Physics, Associate's Physics at Saddleback College
English