I work at the intersection of machine learning, distributed systems, and large-scale cloud infrastructure. I founded and scaled Resource Central, Azure's intelligent resource management platform — delivering tens of millions of dollars in annual efficiency gains.
I'm a Partner Software Engineer at Microsoft, currently in the Office of the Azure Core CTO, working on AI-native engineering systems and large-scale infrastructure optimization.
For nine years I founded and led Resource Central — Azure Compute's intelligent resource management platform — growing it from concept to a production prediction-serving system handling millions of real-time requests across Azure's global fleet. The work was published at SOSP and featured in Communications of the ACM.
Before moving to the U.S., I co-founded Neemu, an e-commerce technology startup later acquired by Linx. I hold a Ph.D. in Computer Science from the Federal University of Amazonas, Brazil, where my thesis was named the country's best CS doctoral thesis by the Brazilian Computer Society.
Exploiting temporal patterns to safely oversubscribe all resources across cloud platforms — driving large efficiency gains at fleet scale.
Learning VM lifetimes to pack the fleet more tightly and reduce stranded capacity — recognized with the MLSys 2023 Best Paper Award.
Workload prediction and resource management across Azure's global fleet — the system I founded and led, powering efficiency decisions at hyperscale.
AI-native engineering systems, infrastructure optimization, and large-scale systems strategy across Azure.
Founded and led Azure's intelligent resource management platform — workload prediction, VM lifetime forecasting, and resource allocation across the global fleet — delivering tens of millions of dollars in annual efficiency gains. Published at SOSP 2017 and CACM 2020.
Co-founded a technology startup, growing it from founding team to 100+ employees. Built production ML systems for web-scale crawling, information extraction, and classification.
Full list on Google Scholar.