Summary
Gabriel Bertocco is a postdoctoral researcher at Recod.ai (UNICAMP) and an AI consultant with 11 years of experience specializing in machine learning, self-supervised learning, computer vision, biometrics and LLM-enabled agents. He completed a PhD focused on fully unsupervised person re-identification, contributing multiple papers to top-tier IEEE journals and competing successfully in challenges like AGReID. Gabriel has applied research in operational settings as a Professional Research Assistant on the IARPA/BRIAR program and through industry and government consulting, translating advanced methods into robust solutions for noisy, real-world imagery. He is fluent in PyTorch, Hugging Face, TensorFlow and a range of languages and tooling (Python, C/C++, Docker, FAISS), and combines deep theoretical work with practical deployment experience. Notably, his background spans both biometrics and emerging LLM/RAG workflows, positioning him to bridge visual and language-based AI systems. Based in São Paulo, he brings a track record of reproducible research, invited talks, and award-winning applied projects from undergraduate innovation to international collaboration.
11 years of coding experience
5 years of employment as a software developer
Bacharelado, Computer Engineering, Bacharelado, Computer Engineering at Universidade Estadual de Campinas