Computer Vision Engineer

• Mar 2023 - Present

Computer Vision Engineer

• Feb 2021 - Feb 2023

Development of AI systems both to generate automatic sports productions and to check their quality. Based on real-time video processing, the main tasks consist in camera calibration, object and actions detections, and 3D geometry.Combining C++ (Visual studio, Qt), Python (PyCharm), Squish and bash scripting. Entirely working in scrum methodology, including management tools such as jira, confluence and Git.

ADAS Software Product Engineer

• Jan 2020 - Jan 2021

Implementation of computer vision techniques for Advanced Driver Assistance Systems (ADAS). Specifically focused on the maintenance and improvement of extrinsic calibration applications, including the back-end algorithms and the GUI design. The scope of these applications can be both internally (ground truth among different departments), and externally (directly as a client requirement). Mainly working with C++ (Qt, Visual Studio) for implementation purpose and Python (Spyder) for testing, both applying OpenCV. Also using management tools such as Jira and Git, and camera communication tools such as PCAN-View and GStreamer. Show less

Software Engineer

• Jan 2018 - Dec 2019

Development of any software task required by the Hemophotonics’ technology (non-invasive optical monitoring). Main focus on LUCA-project (http://www.luca-project.eu), an European project led by the world-reputed Institute of Photonic Sciences, ICFO. Based on C++ (Qt) to develop a wide range of tasks: data analysis (fitting), communications (tcpip and serial), submodules integration (synchronization algorithms), and GUI design. Also some firmware tasks with Teensy. Development of any software task required by the Hemophotonics’ technology (non-invasive optical monitoring). Main focus on LUCA-project (http://www.luca-project.eu), an European project led by the world-reputed Institute of Photonic Sciences, ICFO. Based on C++ (Qt) to develop a wide range of tasks: data analysis (fitting), communications (tcpip and serial), submodules integration (synchronization algorithms), and GUI design. Also some firmware tasks with Teensy.

Researcher (MECD scholarship)

• Oct 2015 - Jun 2016

Research on machine learning techniques for fingerprint identification at the Signal Theory and Communications Department of UPC. With my Bachelor’s degree thesis as starting point, this research allowed a deeper analysis on the field, leading to the inspection of more fingerprint features and machine learning models. As a consequence, all the thesis’ results were improved, both in terms of accuracy and in terms of processing time. Fully developed in Matlab. Research on machine learning techniques for fingerprint identification at the Signal Theory and Communications Department of UPC. With my Bachelor’s degree thesis as starting point, this research allowed a deeper analysis on the field, leading to the inspection of more fingerprint features and machine learning models. As a consequence, all the thesis’ results were improved, both in terms of accuracy and in terms of processing time. Fully developed in Matlab.