Mateus Gonçalves Machado
Education
PhD in Computer Science
Focus on Reinforcement Learning and reward signals research.
MSc in Computer Science
Focus on Reinforcement Learning.
BSc in Computer Engineering
Experience
Reinforcement Learning Researcher · Team Lead
- Lead a team of 2–3 junior researchers, setting task priorities and technical direction
- Discover and apply RL methods to real-world problems
Tech Lead
- Led 3 teams of 7 engineers (21 total) across concurrent robotics projects
- Shipped two production robotics deployments: automated pharmaceutical dispatch and DENSO VS050-based phone-testing automation
Cluster Manager
- Managed a 4-node HPC cluster serving 200+ researchers
- Administered Slurm scheduling and coordinated cluster usage and activities
Academic Experience
RobôCIn
- Led an 8-person team to 4 consecutive Latin America Robotics Competition titles (2020–2023)
- Designed and developed robot soccer behaviors using C++, Python, Docker
- Developed AI algorithms for soccer robots and built performance-analysis metrics for the team
- Organized schedule, activities, and Git repository management
Renewable Energy Center
- Researched and developed ML/time-series methods for wind power prediction across 10+ wind farms (50+ turbines each)
- Designed a web application to monitor wind turbine status and serve time-series predictions
Proxy Oil Lab — LITPEG
- Studied and developed Artificial Neural Network methods for sequential data prediction, evaluated with standard time-series metrics
- Co-authored a peer-reviewed paper in Neural Computing and Applications (Springer, 2024) on this work
Skills
Languages: Python (6 years), C/C++ (2 years), SQL
Technologies: Deep and Machine Learning, ROS2, Gazebo, Docker, Git, Unix/Bash
Spoken Languages: Portuguese (Native), English (C1)
Accomplishments
- Winner in Latin America Robotics Competition among 10 teams (2020, 2021, 2022, 2023)
- Second place in HackaSerpro (2019)