Rafael is an Applied Research Scientist at ServiceNow Research with an extensive background in software engineering and distributed systems. His current work focuses on fundamental and applied Machine Learning research.
Rafael holds a MSc. in Computer Science and a BSc. in Physics; the combination of which has provided a good foundation towards his current role in Reinforcement Learning and Natural Language Processing research. For the last two years, he has been mostly focusing on Deep Reinforcement Learning projects, specifically Offline RL, Policy Optimization, RL driven Energy-Based Models, and the intersection between RL and NLP.