Rogerio Bonatti
Member Of Technical Staff, Microsoft AI
Pittsburgh, Pennsylvania, United States
Summary
🤩
Rockstar🎓
Top SchoolRogerio Bonatti is a Member of Technical Staff at Microsoft AI with nine years of experience building and post-training large language models and multi-modal LLM agents for both desktop and robotic applications. He holds a PhD from Carnegie Mellon and has blended deep academic research with industry impact through internships at Facebook AI Research and Microsoft Research. At Microsoft he has driven generative and vision-language models into products like Windows Copilot and developed foundational models that fuse language, vision, and geometry for decision-making in robotics. Rogerio’s background in mechanical and mechatronics engineering gives him a rare systems-level perspective on embodied AI, and his public website hosts his up-to-date publications and projects. He combines research rigor with product-focused engineering, consistently moving novel multimodal techniques from lab prototypes toward real-world deployments.
9 years of coding experience
7 years of employment as a software developer
Middle School / High School, Middle School / High School at Colegio Visconde de Porto SeguroBachelor of Engineering - BE Mechatronics Robotics and Automation Engineering, Bachelor of Engineering - BE Mechatronics Robotics and Automation Engineering at USP - Universidade de São PauloBachelor of Science (BS) Mechanical Engineering, Bachelor of Science (BS) Mechanical Engineering at Cornell UniversityDoctor of Philosophy - PhD Robotics and Computer Science, Doctor of Philosophy - PhD Robotics and Computer Science at Carnegie Mellon University
English, Portuguese, German, Spanish, French, Chinese
Github Skills (26)
robotics9
simulation9
prompt-engineering8
airsim8
ai-agent8
chatgpt7
windows7
sdk7
python7
azure6
llm6
ai5
python-modules5
azure-functions5
microsoft4
Programming languages (4)
Github contributions (5)
microsoft/AirSim-Drone-Racing-VAE-Imitation
Jul 2019 - Jun 2021
Code associated with our paper "Learning Visuomotor Policies for Aerial Navigation Using Cross-Modal Representations": https://arxiv.org/abs/1909.06993
Contributions:48 commits, 5 pushes, 8 comments in 1 year 11 months
rogeriobonatti/mushr_rhc
Aug 2021 - Aug 2022
Contributions:57 pushes, 2 branches in 11 months
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