Zach Blumenfeld is an AI research engineer with four years of hands-on experience building graph-powered AI, data science, and analytics systems across government and industry. He has driven product and go-to-market strategy at Neo4j—translating research into developer tooling, reference architectures, and demos that materially grew AI revenue and developer engagement. His background includes leading full-stack graph analytics platforms and enterprise data modeling at Booz Allen, scaling solutions that handle hundreds of millions to billions of nodes. Zach blends rigorous quantitative training (BS in Business Administration with minors in Statistics and Economics; Master’s in Economics) with practical engineering across Python, Java, Spark, and graph stacks like Gremlin/JanusGraph. He’s comfortable at the intersection of research, product, and developer advocacy, and is known for making complex graph intelligence patterns accessible to engineers and analysts. An atypical detail: his career spans both tactical field analytics for law enforcement and strategic product launches for global AI platforms, showing rare breadth from mission-driven deployments to commercial developer ecosystems.
4 years of coding experience
8 years of employment as a software developer
California Polytechnic State University, San Luis Obispo
Contributions:20 commits, 4 PRs, 14 pushes in 5 months
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