Developed a Python desktop application utilizing a multi-objective genetic algorithm to design and optimize water distribution networks.
This technique was used to select the most suitable materials, sizes, and costs for each pipe, while ensuring that the network operates efficiently considering hydraulic constraints of the area. In addition to this, the goal was to select the lowest possible cost.
Deep learning application for football analysis with Streamlit using Python with Yolov8 & OpenCV.
Players, goalkeeper, referee and ball detection.
Over 3+ years working with companies from all over the world. I design and develop AI products.
November 2024 - Present
Data Scientist
Airtm
October 2023 - July 2024
Machine Learning Engineer
Sonata Software | Microsoft
Provided support to a diverse range of clients by implementing machine learning workflows, MLOps best practices, and integrating OpenAI technologies within Azure Machine Learning.
July 2022 - November 2023
Data Scientist
Atrato (YC W21)
Developed machine learning models to optimize operations across various areas, including Risk, Marketing, and Sales.
September 2021 - December 2022
Engineering Terminal Work
IPN | JIAPAZ
Developed a Python desktop application utilizing a multi-objective genetic algorithm to design and optimize water distribution networks, focusing on cost reduction and network efficiency improvement.
2018 - 2022
Bachelor of Engineering - BE, Computer Engineering
Instituto Politécnico Nacional
2015 - 2018
Programming Technician
Centro de estudios tecnológicos industrial y de servicios No. 113
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