Charles Ochoa has a diverse work experience in the fields of machine learning engineering and data science. Charles currently works as a Senior Machine Learning Engineer at Woven Planet, a role they acquired after the acquisition of Toyota Research Institute. Their work focuses on perception and sensor fusion, with an emphasis on using geometry and physics to develop effective representations. Prior to this, Charles founded Vigil AI, a computer vision company that automated inventory counting. Charles also worked as a Data Scientist at LogRank Analytics, where they developed and tested models on large datasets, provided reports and insights to clients, and facilitated knowledge transfer and training. Before that, Charles served as a Quantitative Analyst at iGPS Logistics, LLC, where they mined company data for patterns and insights, developed risk quantification models and metrics, and maintained analytical databases. Charles began their career as an Adjunct Instructor of Mathematics at Florida International University.
Charles Ochoa pursued their education in a logical chronological manner. Charles completed their Master's degree in Computer Science at the Georgia Institute of Technology, from 2019 to 2023. Prior to this, they obtained a Self-Driving Car Nanodegree from Udacity between 2016 and 2017.
Before delving into Computer Science, Charles earned a Master of Science (MS) degree in Mathematical Sciences from Florida International University from 2007 to 2008. At the same university, they also completed their Bachelor of Science (BS) degrees in both Mathematics and Physics from 2004 to 2007.
Charles' early education history is not mentioned, but they attended Mast Academy, however, specific information about the degree or field of study is not provided. Apart from their formal education, Charles also obtained a certification in Deep Learning Specialization from Coursera in February 2018.
November, 2020 - present