José Luis Ortega Arenas
About José Luis Ortega Arenas
José Luis Ortega Arenas is a Software Engineer currently employed at BairesDev in Mexico since 2022. He has a diverse background in software development and engineering, with previous roles at REDINMEX and Huf Group, and holds multiple certifications in robotics, network administration, and artificial intelligence.
Work at BairesDev
José Luis Ortega Arenas has been employed as a Software Engineer at BairesDev since 2022. In this role, he has contributed to various projects, including the development of a pre-clinical machine learning project that utilizes NVIDIA Jetson and AWS GreenGrass. His work focuses on leveraging advanced technologies to create innovative solutions.
Previous Experience
Before joining BairesDev, José Luis worked at REDINMEX as a Software Engineer from 2013 to 2021. He also held the position of Electronic Supervisor at Huf Group for one year, from 2011 to 2012. His career began at Schlumberger, where he served as a Positioning Seismic Specialist from 2008 to 2011, gaining valuable experience in the offshore sector.
Education and Expertise
José Luis holds a Dual Degree Master in Mechatronics, which he obtained from UPAEP between 2017 and 2019. He also studied at Universidad Tecnológica de Puebla, where he earned a Técnico Superior Universitario in Mechatronics Technician from 2005 to 2007 and later completed his Ingeniería in Mechatronics from 2012 to 2013.
Certifications and Skills
José Luis has achieved several certifications that enhance his expertise in technology and engineering. He is certified in Robotic Operative System (ROS) robots for service by UPAEP and has completed certifications in AI on Jetson Nano from Nvidia's Deep Learning Institute. Additionally, he holds a certification in Deep Learning Computer Vision CNN and OpenCV from Udemy and is certified as an instructor for Nvidia's workshops aimed at academia.
Projects and Innovations
Throughout his career, José Luis has implemented various innovative projects. Notably, he developed a real-time visual inspection and automation system using Jetson Nano and deep learning at Tenneco. He also created a water meter reading extraction system using Pytorch and FastAPI at the Technology Center, showcasing his ability to apply advanced technologies in practical applications.