Pablo Vera
Desarrollador Backend Python at The Wealthabout Company
Madrid, Community of Madrid, Spain
Summary
👤
Senior🎓
Top SchoolPablo Vera is a backend Python developer based in Madrid with nine years of software experience and a strong specialty in robotic software using ROS on both simulated and real platforms. He has built drivers, image-processing pipelines with OpenCV, and PyQt5 GUIs for robotics education projects like the well-known JdeRobot/RoboticsAcademy, and has contributed practical line-following functionality tied into motor control. Pablo combines academic training (MSc in Telecommunications) with industry experience across security software at Visiotech and backend systems at The Wealthabout Company, plus a year as a junior consultant working on CDO metric dictionaries for banking. Comfortable across Python, C++, JavaScript and ROS, he also brings team leadership from competitive robotics groups and a knack for turning research-grade robotics work into usable teaching and production tools.
9 years of coding experience
1 year of employment as a software developer
Bachillerato, Ciencias físicas, Bachillerato, Ciencias físicas at Colegio VillaeuropaDOBLE GRADO INGENIERÍA EN TELECOMUNICACIONES Y ADMINISTRACIÓN Y DIRECCIÓN DE EMPRESAS, Ingeniería de telecomunicaciones, 7, DOBLE GRADO INGENIERÍA EN TELECOMUNICACIONES Y ADMINISTRACIÓN Y DIRECCIÓN DE EMPRESAS, Ingeniería de telecomunicaciones, 7 at Universidad Rey Juan Carlos
Spanish, English, French
Github Skills (8)
computer-vision10
opencv10
robotics10
pyqt10
python10
ros10
gazebo-simulator9
gazebosim9
Programming languages (4)
Github contributions (5)
JdeRobot/RoboticsAcademy
Nov 2017 - Sep 2018
Learn Robotics with JdeRobot
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:215 commits, 19 PRs, 8 pushes in 10 months
Contributions summary:Pablo primarily contributed to the development of the `follow_line` practice, focusing on implementing and improving its core functionality. Their work involved writing Python code for image processing, specifically using OpenCV (cv2) to filter images. Additionally, they implemented and modified the GUI components using PyQt5. The contributions also include the integration of ROS and the use of the motors to make the line follow the road.
gazeboroboticscomputer-visionrobotics-programmingros
RoboticsLabURJC/2017-tfg-pablo-moreno
Feb 2018 - Jan 2019
Contributions:184 pushes in 11 months
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