Carlos De Andrade is a Principal Inventive Scientist at AT&T Labs Research with 13 years of experience applying prescriptive analytics and operations research to extremely large-scale combinatorial optimization problems in telecommunications. He designs and ships production-grade solutions—such as BRKGA-MP-IPR and ONAP OOF integrations—that schedule changes and tune parameters across hundreds of thousands of 4G/5G nodes, IoT devices, and connected cars. His hybrid research-and-engineering role yields both high-impact network automation deployed in ONAP and peer-reviewed publications in venues like EJOR and SIGCOMM. Prior academic work includes a PhD from University of Campinas and a postdoc at Georgia Tech, where he focused on mixed-integer formulations and feasibility issues. Known for turning theoretical techniques into practical frameworks, he also led hiring and technical architecture efforts, bridging research, product, and operational teams.
13 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy (PhD), Computer Science, Doctor of Philosophy (PhD), Computer Science at University of Campinas
Bachelor, Computer Science, Summa Cum Laude, Bachelor, Computer Science, Summa Cum Laude at Universidade Federal de Lavras
Master, Computer Science, Master, Computer Science at Universidade Estadual de Campinas
The Multi-Parent Biased Random-Key Genetic Algorithm with Implict Path Relink - Julia version
Contributions:158 commits, 6 PRs, 51 pushes in 4 years 2 months
genetic-algorithmjulia
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