Daniel Vargas Herrera

Technical Lead at BuildingMinds

Daniel Vargas Herrera has a diverse work experience, starting with a current role as a Machine Learning Engineer at BuildingMinds since 2022. Prior to that, they worked at OptioPay Group, where they held multiple positions including Lead Machine Learning Engineer from August 2022 to December 2022, Machine Learning Engineer from May 2021 to July 2022, and Junior Data Scientist from April 2019 to May 2021.

Before their time at OptioPay Group, Daniel worked as a Software Developer at BlueMessaging from January 2017 to August 2017. Daniel also gained experience as a Student Intern at Instituto de Fisiología Celular from July 2015 to August 2016, and as a System Analyst at NEORIS in 2016.

Daniel's work experience also includes an internship at Biorobotics Lab, UNAM, where they worked as a Student Intern from June 2015 to December 2015.

Daniel Vargas Herrera has a diverse education history. Daniel completed their Bachelor of Engineering in Computer Engineering from the Universidad Nacional Autónoma de México in 2015. Prior to this, they also attended the Universidad Autónoma de Madrid for a brief period in 2014, studying Ingeniería Informática.

After obtaining their bachelor's degree, Daniel pursued a Master of Science in Computational Neuroscience at the Technische Universität Berlin, which they completed between 2017 and 2019.

In addition to their formal education, Daniel Vargas Herrera has also obtained several certifications. These include "Querying with Cypher in Neo4j 4.x" from Neo4j Graph in September 2021, "MLOps (Machine Learning Operations) Fundamentals" from Coursera in July 2021, "End-to-End Machine Learning with TensorFlow on GCP" from Coursera in May 2021, "How Google does Machine Learning" from Coursera in May 2021, "Introduction to TensorFlow" from Coursera in May 2021, "Production Machine Learning Systems" from Coursera in May 2021, "Introduction to Data Science in Python" from Coursera in March 2019, and "Computational Neuroscience" from Coursera in December 2016.

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