Matt Hagy is a software engineer with 11 years of experience building backend services and data platforms, blending production-grade engineering with a strong data science pedigree. He holds a Ph.D. in Computational Statistical Chemistry and has moved from academic modeling and published research into designing and operating high-throughput data pipelines and ML-informed services at companies like LiveRamp, Square, and startups. Matt has led and grown teams, invented scalable graph and join techniques for TB-scale datasets, and shipped Java and Python systems that process hundreds of billions in payments and massive graph data. More recently he prototyped GenAI tooling for finance and built ML-backed document extraction services at an early-stage company, demonstrating a taste for hands-on R&D that turns into production features. Based in Atlanta, he combines deep quantitative thinking with practical engineering—often surfacing novel heuristics from exploratory Jupyter work that become repeatable production tools.
10 years of coding experience
20 years of employment as a software developer
Ph.D. Computational Statistical Chemistry, Ph.D. Computational Statistical Chemistry at Georgia Institute of Technology
B.S.E. Polymer Science & Engineering, B.S.E. Polymer Science & Engineering at Case Western Reserve University
High School Diploma, High School Diploma at Greensburg-Salem High School
Develop increasingly sophisticated databases from scratch in Java
Contributions:105 commits, 23 PRs, 135 pushes in 8 months
mysqldatabase-accesssqldatabasesdatabase
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