Summary
Dimitri Melbury is a Staff Software Engineer specializing in data ingest, streaming, and large-scale infrastructure, currently leading AI & Infrastructure work at Google after staff roles at Robinhood and Lyft. He combines deep systems programming in Go, Python and C/C++ with cloud expertise (AWS), Kafka-based streaming, and strong SQL/NoSQL skills to build cost-efficient, compliant data platforms for real-time analytics and trading. As a tech lead he has driven cross-team initiatives in data quality, schema evolution, and ownership models that tied infrastructure cost to data provenance. His research background (PhD work and tools for program transformation and taint tracking) and Synopsys experience creating AI-enabled verification tools highlight a rare mix of formal methods, ML, and production engineering. Known for pragmatic optimizations—like memoization-backed tooling and storage tradeoffs that delivered 10x speedups—he excels at turning research ideas into operational systems. Based in the San Francisco Bay Area, he brings a decade of experience delivering scalable, auditable data infrastructure for high-throughput environments.
9 years of coding experience
13 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Computer Science, Doctor of Philosophy (Ph.D.), Computer Science at Université Grenoble Alpes
Master's Degree, Embedded Systems, cum laude (top 5%), Master's Degree, Embedded Systems, cum laude (top 5%) at Delft University of Technology
English, French