Elkin Javier Guerra Galeano
About Elkin Javier Guerra Galeano
Elkin Javier Guerra Galeano is a Machine Learning Engineer currently working at PRAGMA in Medellín, Colombia. He has a background in mechatronics engineering and experience in various areas including data science, MLOps, and backend development.
Work at Pragma
Elkin Javier Guerra Galeano has been employed at PRAGMA since 2022, where he currently serves as a Machine Learning Engineer. His role involves leveraging machine learning techniques and tools to develop innovative solutions. Prior to this position, he worked at PRAGMA as a Data Scientist for 10 months, where he applied data analysis and modeling skills to support various projects. His experience at PRAGMA highlights his commitment to advancing technology in the field of machine learning.
Education and Expertise
Elkin completed his Basic Studies at Liceo León de Greiff from 2003 to 2016. He further pursued higher education at Escuela de Ingeniería de Antioquia, where he earned a degree in Mechatronics Engineering from 2017 to 2021. His educational background provides a strong foundation in engineering principles, robotics, and automation, which he applies in his current work in machine learning and data engineering.
Technical Skills and Tools
Elkin possesses a diverse skill set in both frontend and backend development. He is proficient in HTML, CSS, and JavaScript for frontend tasks. For backend development, he utilizes frameworks such as Flask, Django, Express, and FastAPI. He is experienced with cloud computing platforms, specifically AWS and GCP, and employs Infrastructure as Code (IaC) tools like Terraform and AWS CloudFormation. His expertise extends to databases, including MySQL, PostgreSQL, MongoDB, and Amazon RDS.
MLOps and Data Engineering
Elkin explores MLOps, focusing on research and knowledge expansion in this area. He engages in data engineering tasks using tools like Amazon Glue, Airflow, and Amazon Kinesis. Additionally, he employs MLOps tools such as Kubeflow, MLflow, Feast, Prefect, and DVC. His work in this field emphasizes the integration of machine learning workflows and data management practices.
Previous Experience at Renault Sofasa
Before joining PRAGMA, Elkin worked as a Central Maintenance Intern at Renault Sofasa in 2021 for a duration of five months. During this internship, he gained practical experience in a corporate environment, contributing to maintenance operations and supporting engineering tasks. This role provided him with insights into the automotive industry and enhanced his technical skills.