Juan Daniel Morales Arias
About Juan Daniel Morales Arias
Juan Daniel Morales Arias is an AI Developer with extensive experience in machine learning and computer vision. He has worked for various companies in Colombia and Canada, including Safe Fleet and Kipo S.A.S., and holds a Master's degree in Computer Science from Georgia Institute of Technology.
Work at Safe Fleet
Currently, Juan Daniel Morales Arias serves as an AI Developer at Safe Fleet, a position he has held since 2019. In this role, he has taken on responsibilities that include leading a team of six in AI development projects. His work focuses on deploying AI models on embedded devices and monitoring their performance in production environments. His contributions are aimed at enhancing vehicle localization through the use of GPS data and computer vision techniques.
Previous Experience in AI and Machine Learning
Before joining Safe Fleet, Juan Daniel Morales Arias co-founded Kipo S.A.S., where he worked for two years from 2019 to 2021. He also held the position of Machine Learning Tech Lead at Workep for five months in 2019. His experience includes a year as a Machine Learning Engineer at PSL Corp from 2018 to 2019 and a role as a Data Science Intern at Celsia Energía from 2017 to 2018. Additionally, he worked as a Machine Learning Consultant at Servex for one year in a remote capacity.
Education and Expertise
Juan Daniel Morales Arias holds a Master's degree in Computer Science from the Georgia Institute of Technology, which he completed from 2018 to 2021. He also earned a Bachelor's degree in Computer Science and Engineering from Universidad EAFIT, studying there from 2013 to 2018. His educational background provides a strong foundation for his expertise in AI, machine learning, computer vision, and natural language processing.
Technical Leadership in AI Projects
In his current role and previous positions, Juan Daniel Morales Arias has demonstrated technical leadership in AI development. He has been a Technical Lead for computer vision and natural language processing projects for the last two years. His ability to design and implement AI architecture has contributed to advancements in vehicle localization and other AI applications.