Summary
Jacson Correia-silva is an Adjunct Professor and researcher with over a decade of experience in machine learning and security, specializing in model extraction, CNNs, and soft computing techniques. His Ph.D. work on extracting models from unlabeled data complements an M.Sc. focus on ML-driven network attack detection, backed by practical projects in Linux systems, network administration, and computer forensics. He combines academic rigor with hands-on engineering—publishing reproducible tools and demonstrations on GitHub, including model-stealing research and a password-cracking example. Fluent in Python, C and Bash and versed in reverse engineering and computer architecture, he has led Linux-based deployments used across educational institutions. Adaptable and curious, he bridges theory and practice to develop defensible ML systems and pragmatic security solutions.
10 years of coding experience
5 years of employment as a software developer
Nanodegree, Artificial Intelligence, Nanodegree, Artificial Intelligence at Udacity
English, basic and intermediate level, English, basic and intermediate level at CCAA
Doctor's Degree, Computer Science, Machine Learning, Doctor's Degree, Computer Science, Machine Learning at Universidade Federal do Espírito Santo (Oficial)
Master's degree, Artificial Intelligence and Computer Network, Master's degree, Artificial Intelligence and Computer Network at Universidade Federal de Viçosa
Bachelor of Science (BS), Computer Science, Bachelor of Science (BS), Computer Science at Faculdades Integradas de Caratinga
Machine Learning, Machine Learning at Stanford University
Portuguese, English, Spanish