Summary
Carlos Natalino is a researcher and postdoctoral expert based in Gothenburg with eight years of experience applying machine learning to automate and harden optical networks and cloud computing infrastructures. His work spans network automation, resource and energy efficiency, security, reliability and survivability, and he has led and contributed to multiple EU and Brazilian research projects. At Chalmers and previously at KTH and UFPA he has combined theoretical research with practical simulations and network-management tools to improve resiliency in optical clouds for smart-city and telecom scenarios. He also brings hands-on teaching experience in programming and network administration across Brazil and Sweden, often mentoring students into applied research. Colleagues know him for bridging rigorous academic methods with implementation-minded solutions that reduce infrastructure needs while boosting availability.
7 years of coding experience
13 years of employment as a software developer
Research Doctorate, Electrical Engineering, Research Doctorate, Electrical Engineering at Universidade Federal do Pará
Linux Network Administration, Computer Systems Networking and Telecommunications, Linux Network Administration, Computer Systems Networking and Telecommunications at IESAM
Master's degree, Computer Engineering, Master's degree, Computer Engineering at UFPA
Portuguese, English