Summary
Keiller Nogueira is a lecturer and machine learning researcher with 8 years’ experience applying deep learning and computer vision to industry and academia, currently based at the University of Liverpool. He holds a PhD from the Federal University of Minas Gerais with study time at Grenoble INP, and has taught and developed multiple deep learning courses while leading applied projects for clients such as Petrobras, LG Electronics and Nexa Resources. His technical toolkit spans Python (PyTorch, TensorFlow, OpenCV), C/C++, CUDA, cloud (AWS), CI/CD and data engineering (Kafka, PostgreSQL), with particular strengths in person recognition, fingerprint matching, image segmentation and large-scale dataset curation. Keiller combines rigorous research—demonstrated by multiple publications—with hands-on system delivery, moving models from experimentation to production. An uncommon thread in his profile is deep prior experience in classical ML and probabilistic graphical models alongside modern deep architectures, enabling robust solutions across remote sensing, biometrics and industrial applications.
8 years of coding experience
9 years of employment as a software developer
Bachelor's degree, Ciência da Computação, Bachelor's degree, Ciência da Computação at Universidade Federal de Viçosa
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Institut polytechnique de Grenoble
Doctor of Philosophy - PhD, Computer Science, 4.5/5, Doctor of Philosophy - PhD, Computer Science, 4.5/5 at Universidade Federal de Minas Gerais
Portuguese, English, Spanish, French