Experience

Research Scientist (2023-Present): Vatic Labs; I decided to join Vatic Labs to focus on the frontiers Digital AGI with sandbox of quantitative finance challenges.
Research Scientist (2021-2023): Azure AI Research; I was involved with AI Alignment with RLHF / RLFAI (Reinforcement Learning from Human or AI Feedback). In 2021, I also supported the Azure Personalizer Service (contextual bandits for Personalization / Recommendations).
Research Engineer / Researcher (2019-2023): Microsoft Research; I was part of a wonderful team at MSR, focusing on the Embodied Intelligence pillar, trying to design system with reliable Offline pretraining (through Offline RL, Meta-RL and other interactive representation learning methods) and downstream finetuning, involving Skill learning and discovering for fast online adaptation.
Research Engineer (2019-2021): Microsoft Research; I was a Research Engineer in the Cloud Efficiency group, where contributed to several “Self-driving datacenter” scenarios on Resource Central (ML prediction-serving System for Azure).
Software Engineer (2017-2019): Azure Data AI; Worked on Automatic Configuration Tuning for PostgreSQL DBMS using Deep Reinforcement Learning and SKU recommendation system (best tier/size configuration) of Azure SQL Database to accommodate on-premises workloads

Education

MSc in Image, Vision and Machine Learning (2014-2017): École Polytechnique (France); Dissertation: Using Machine Learning to build P300-based Brain Computer Interfaces for Gaming
BSc Computer Software Engineering (2011-2016): Instituto Tecnológico de Aeronáutica (Brazil); Dissertation: A Framework for games controlled by the brain through P300 Visual Event-Related Potentials
Medical School (2008-2011): University of Brasília (Brazil); I also studied three years of MedSchool, when I spent some time studying the Brain, Human Intelligence and Cognitive Sciences, from where I try to get inspiration and inductive biases for modeling AI agents.