Summary
Rommel Carvalho is a research scientist manager at Meta with 12+ years of experience building auction and ads-delivery mechanisms that have generated and protected billions in revenue. He leads cross-functional teams of engineers and researchers to optimize value, cost, and pricing across ad delivery stages, and previously scaled AutoML and open-source tooling that saved significant compute and drove millions in revenue. Before Meta he led Brazil’s Observatory of Public Spending, managing ~20 data scientists to detect fraud and improve transparency—work that earned national awards. Rommel pairs deep academic training (PhD and postdoc in AI, data mining, and uncertainty) with hands-on production impact across government and industry. He’s equally comfortable publishing technical research, teaching at a masters program, and shipping large-scale ML systems. A less obvious thread: his career blends governance-focused anti-corruption projects with high-stakes ad-economics, showing a rare mix of public-sector rigor and product-driven engineering.
11 years of coding experience
22 years of employment as a software developer
Computer and Information Sciences General, Computer and Information Sciences General at Coursera.org
PhD Systems Engineering and Operations Research, PhD Systems Engineering and Operations Research at George Mason University
MSc Computer Science, MSc Computer Science at Universidade de Brasília
English, Portuguese