Antonio Luna Macías
Computer Vision - Research & Development
A Bit About Me
Hello! I'm Antonio, a passionate computer vision engineer by day and an entrepreneur by night. I specialize in developing complex systems that integrate image and video analysis at various stages, whether it’s to extract precise statistics or to activate physical actuators.
What fuels my work is an insatiable curiosity for the field of computer vision. I’m captivated by the ever-evolving techniques that allow machines to see and interpret the visual world. My Ikigai lies in finding the perfect algorithm or model for any given problem, turning theoretical research into practical, impactful applications.
I’d love to collaborate with you to discover the ideal solution to your challenge!
Work Experience
Computer Vision Engineer
Upwork
December 2023 - Present
Machine Learning Researcher
Samsung Research Tijuana
August 2023 - December 2023
Master Thesis Student
CINVESTAV
September 2021 - August 2023
Junior ML Engineer
Omdena
December 2020 - April 2021
Freelance project development for multiple clients, covering a variety of tasks including AI consulting, research, model implementation and training, video analysis for person detection, and pattern identification, among other applied computer vision projects.
Main responsibilities included large-scale video annotation focused on action recognition, implementing and evaluating visual transformer-based models for real-time action recognition. Additionally, I managed a project for implementing image steganography for data encryption.
Master of Science in Robotics and Advanced Manufacturing from CINVESTAV, with a thesis developed in collaboration with CICESE. Thesis focused on object classification using limited datasets through a bio-inspired paradigm known as Brain Programming, which is based on feature extraction and hierarchical processing.
Project development for weed detection in carrot fields, in collaboration with a European startup called WeedBot, aimed at chemical-free and contaminant-free agricultural field cleaning. My main tasks were data annotation and model development for weed segmentation.