Luis Eduardo Higuera Calderon
About Luis Eduardo Higuera Calderon
Luis Eduardo Higuera Calderon is a Machine Learning Engineer based in Bogotá, Colombia, with a background in Chemical Engineering and Physics. He has worked at Simetrik in various roles and has experience as a Field Services Engineer at Quimicontrol S.A.S.
Current Role as Machine Learning Engineer
Luis Eduardo Higuera Calderon currently serves as a Machine Learning Engineer at Simetrik, a position he has held since 2023. His role involves developing and implementing machine learning models to enhance the company's data processing capabilities. He works remotely from Bogotá, D.C., Colombia, contributing to various projects that leverage artificial intelligence to optimize business operations.
Previous Experience at Simetrik
Prior to his current position, Luis worked at Simetrik as an Integrations Engineer from 2022 to 2023. In this role, he focused on integrating various systems and ensuring seamless data flow within the organization. Additionally, he briefly served as Integrations Lead for three months in 2023, overseeing integration projects and leading a team to enhance system interoperability.
Professional Background in Engineering
Luis has a diverse professional background in engineering. He worked as a Field Services Engineer at Quimicontrol S.A.S from 2019 to 2020, where he was responsible for providing technical support and services in the Bogotá D.C. area. His experience in field services has equipped him with practical skills in problem-solving and client interaction.
Education in Chemical Engineering
Luis earned his Bachelor's degree in Chemical Engineering from Universidad de América, studying from 2012 to 2018. This foundational education provided him with a solid understanding of chemical processes and engineering principles, which he applies in his current and previous roles in technology and engineering.
Advanced Studies in Physics
Luis is currently pursuing a Master of Science in Physics at Universidad Nacional de Colombia, a program he began in 2022 and is expected to complete in 2024. This advanced study enhances his analytical skills and deepens his understanding of complex scientific concepts, which are beneficial in his work as a Machine Learning Engineer.