Hello!

I'm Paulo Rezeck



PhD in Computer Science

YouTube My works

Name: Paulo Rezeck

Job Role: Robotics Engineer

Address: Belo Horizonte - Brazil

Skills

Mobile Robotics 90%
Computer Vison 80%
Machine Learning 75%
Statistical Analysis 85%
Programming Language (Python/C++) 90%

About

About Me

I am a highly motivated computer scientist passionate about solving real-world problems using disruptive technologies like artificial intelligence, machine learning, computer vision, and robotics. With expertise in robotics, I've honed skills at both software and hardware levels, including embedded systems, sensor networks, and mechanical and electrical design. My involvement in numerous R&D projects for the industry has allowed me to develop prototypes of teleoperated robotic systems and algorithms for detecting and tracking objects and people. These experiences have not only expanded my technical capabilities but also enhanced my interpersonal communication, organization, and leadership skills.

  • Profile: Robotics & Computer Vision Research
  • Education: PhD in Computer Science
  • Language: Portuguese, English, Germany

Resume

Resume

With 6+ years of dedicated research experience in robotics and computer vision, I've spearheaded R&D innovative projects at the forefront of technology. My expertise spans robot control, SLAM, computer vision techniques and deep learning driving impactful advancements in the field.

Experience


2022-Present

Computer Vision Engineer

Invent Vision Brazil Flag

Enhance the industry by crafting innovative solutions through the utilization of both traditional computer vision techniques and cutting-edge deep learning algorithms.

  • Developing and integrating systems using languages like C++, Python, and Docker.
  • Conducting system simulations with tools such as ROS, Gazebo, CoppeliaSim and Blender.
  • Designing and implementing user interfaces using technologies like Qt and Pyside.
  • Implementing vision-based SLAM techniques such as ORBSLAM and RTABMap.
  • Performing 3D object detection utilizing frameworks like OpenCV and Open3D.
  • Implementing object detection using Lidar with techniques like Pointnet.

2020-2022

Tech Leader Researcher

UFMG Brazil Flag

Tech leader of a Petrobras-sponsored project, I led the development of a system to detect human actions during industrial painting, using advanced deep learning methods.

  • Leading a specialized team proficient in computer vision.
  • Implementing neural networks, like Deep SORT, for real-time object tracking.
  • Proficient in Linux process communication and algorithm optimization using languages like C++ and Python, along with IPC, Socket, and CUDA.
  • Expertise in container software architecture, leveraging Docker for streamlined deployment and management.
  • Utilizing advanced neural networks for real-time human pose detection, employing techniques like OpenPose, AlphaPose, and PoseNet.



Education


2019-2023

PhD in Computer Science

Federal University of Minas Gerais - Brazil Brazil Flag

Robot swarm control using probabilistic modeling with ROS middleware; Development of simulation environment for robot swarms using Gazebo; Papers published and presented at top robotics conferences (IROS, ICRA, RAL).

A stochastic approach to generate emergent behaviors in robotic swarms
2016-2019

MsC in Computer Science

Federal University of Minas Gerais - Brazil Brazil Flag

Low-cost robot design and construction using Autodesk F360 and Eagle; Practice in additive manufacturing using 3D printer; MCU firmware implementation for embedded systems; Robot integration with ROS middleware.

HERO: An Open Platform for Robotics Research and Education

2014-2015

Internship Program

University of Tübingen - Germany Germany Flag

Practice in mobile robot control (Ackerman robot) and advanced robot vision; skilled in filtering and sensor fusion techniques (Kalman filter); experienced in simultaneous localization and mapping (SLAM) and navigation.

2010-2016

Bachelor in Computer Science

Federal University of Minas Gerais - Brazil Brazil Flag

Practice with embedded computer executing OS Yocto; Firmware implementation and hardware protocol; Development of a camera-based localization system; Robotic system integration with ROS middleware.

Download CV



Publications

Publications

Below is a selection of scientific publications.

0 Conferences
0 Journals



Contact

Contact Me

Below are the details to reach out to me!

Email Address

rezeck@dcc.ufmg.br

Download Resume

resume


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