Sebastian Patiño Barrientos

Sebastian Patiño Barrientos has worked in various roles since 2017. In 2021, they are currently working as a Machine Learning Engineer at Factored and a Machine Learning Engineer Trainee. In 2020, they worked as a Data Analyst at Quipux, where they designed and implemented a data-processing application and a task scheduler in Python. Sebastian also worked as a Research Assistant at Universidad EAFIT, where they built a virtual environment and modified an heuristic algorithm. In 2019, they worked as a Machine Learning Research Co-op at the University of Louisville, where they reduced the detection missing rate in the test set from 1.25% to 0.00%. In 2018, they worked as a Junior Research Assistant at Universidad EAFIT, providing support to SLURM and automating the generation of reports and warnings. In 2017, they worked as a Teacher Assistant at Universidad EAFIT.

Sebastian Patiño Barrientos obtained a Bachelor's degree in Computer Science from Universidad EAFIT between 2016 and 2020. During this time, they also obtained certifications from Coursera in topics such as Reinforcement Learning Specialization, Deep Learning Specialization, and Convolutional Neural Networks. Additionally, they obtained certifications from Enago Academy in Structure of a Review Article, Structure of an Original Article, and Preparing to Write a Research Paper. Sebastian also obtained a certification from Universidad EAFIT in Introduction to Big Data and Data Science.