Matthew Boros is a software engineer with 10 years of experience specializing in query optimization at MongoDB and a strong background in data-driven systems. He combines applied statistics and computer science training (Master's degrees from WPI and Johns Hopkins) with hands-on work across backend stacks—Python, MySQL/SQLite, JavaScript, and Java—to build performant data pipelines and tooling. Past projects include a 12M-row play-by-play baseball database to improve advanced metrics, a cybersecurity forecasting web tool, and automation that cut reporting time by 95% at Travelers. Comfortable both in research settings and production engineering, he has a knack for turning analytical problems into reliable, automated solutions and for taking on neglected engineering tasks to ship meaningful improvements.
11 years of coding experience
1 year of employment as a software developer
Johns Hopkins University
Bachelor's degree, Actuarial Science, Bachelor's degree, Actuarial Science at Worcester Polytechnic Institute
AP Summer Courses, Mathematics, A, AP Summer Courses, Mathematics, A at Carnegie Mellon University
Contributions:5 commits, 9 pushes, 1 branch in 3 months
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