Results-driven computer vision engineer: Expertise in developing perception systems for dynamic environments, including 6DoF pose estimation, instance/semantic segmentation, object detection and dynamic scene graphs.
Proven expertise in AI-driven optimization through reinforcement learning, NLP and Large Language Models (LLMs), contributing to scalable and efficient solutions in both academic and professional projects.
Multidisciplinary background combines expertise in physics, statistics, advanced mathematics, machine learning and data science, leveraging big data techniques to solve complex problems in data analysis and robotics.
Motion Planning and Autonomous Navigation: Proven ability in motion planning algorithms and Visual SLAM, enhancing robot navigation and understanding in complex, dynamic indoor environments.
| ๐ Nationality | ๐ต๐น Portugal |
| ๐ก Residency | ๐ต๐น Portugal |
| ๐ Location | ๐ณ๐ฑ Netherlands |
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rok.co/@vascoalmeida |
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| Skilled in | computer vision autonomous navigation visual slam sustainability python c plus plus c matlab pytorch tensorflow gym jax ros ros2 nvidia omniverse unity github gitlab 6dof pose estimation reinforcement learning waymax nuplan brax |
| Fluent in | englishportuguesespanish |
| Preferred timezone | 0,+1,+2,+3, -1,-2,-3 |
| Preferred annual pay (min) | $50,000/year |
| Preferred hourly pay (min) | $24/hour |
| Last seen | 7 months ago |
| Signed up | 1 year ago |
| Badges |
๐จโ๐ป Remote worker ๐จ Maker ๐ Early adopter |
2024 - Now: Computer Vision Intern @ Ambee B.V.
2022 - 2023: Artificial Intelligence Intern @ Outsystems
2022 - 2023: Sustainability Consultant Intern @ Institute of Public Policy
2024 - 2024: Waymax Motion Planning project
2020 - 2023: PSEM (Mobile Energy Sustainability Project)
2020 - 2023: Hackerschool
2023 - Now: Master Artificial Intelligence and Engineering Systems @ Eindhoven University of Technology
2020 - 2023: Bachelor's Physics Engineering @ Instituto Superior Tรฉcnico, Universidade de Lisboa