Rafael聽Sanchez
Research Assistant at Brown University
Providence, Rhode Island, United States
Summary
馃懁
Senior馃帗
Top SchoolRafael Sanchez is a Ph.D. candidate in Computer Science at Brown University with nine years of research and engineering experience across representation learning, reinforcement learning, and hierarchical RL. He develops state representation methods using energy-based and contrastive approaches and implements deep learning algorithms in PyTorch and JAX, translating theory into reproducible code. His background includes applied work at Amazon fine-tuning LLMs for semantic parsing in task-oriented dialog and research on strategic defense systems at Politecnico di Milano, showing versatility across academia and industry. Rafael combines strong systems and embedded-systems foundations from his electronics engineering roots with advanced probabilistic and RL techniques, enabling practical solutions for complex decision-making problems. Actively seeking Research Scientist roles, he brings both rigorous academic training and hands-on experience shipping research-quality models.
9 years of coding experience
Engineer鈥檚 Degree, Electronics Engineering, 4.90/5.00, Engineer鈥檚 Degree, Electronics Engineering, 4.90/5.00 at Universidad Sim贸n Bol铆varDoctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Brown UniversityMaster鈥檚 Degree, Computer Science and Engineering. Robotics and AI Track, 29.15/30, Master鈥檚 Degree, Computer Science and Engineering. Robotics and AI Track, 29.15/30 at Politecnico di Milano
English, Spanish, Italian
Github Skills (5)
partial9
reinforcement-learning6
declarative4
python1
simple-framework1
Programming languages (1)
Github contributions (5)
rafarodsa/rafarodsa.github.io
Aug 2020 - Jun 2024
Contributions:66 pushes, 1 branch in 3 years 10 months
rafarodsa/Teo2-Arduino
Jan 2017 - Jan 2017
Contributions:13 pushes, 2 branches in 15 days
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