Raul Maldonado

Raul Maldonado has a diverse work experience in the fields of machine learning, data science, and engineering. Raul has recently worked as a Machine Learning Engineer at dataroots since March 2021. Prior to that, they had an internship-based master's thesis at RiskConcile from October 2019 to August 2020, where they calibrated financial stock options pricing models using ANNs and GPU acceleration.

Before that, Raul worked at microTERRA as a Data Scientist and IT Team Lead from October 2018 to January 2020. Raul played a key role in planning and supervising the assembly of Microterra's AWS cloud infrastructure. Raul also worked at BlackTrust as a Data Engineer & Data Scientist from June 2018 to December 2018, creating web scraping pipelines, ETL systems, and APIs for database management.

In 2017, Raul founded Lemon Analytics, an AI startup where they worked as a Founder & Data Scientist until August 2018. Raul met with clients to identify their needs and implemented state-of-the-art AI solutions for them, mainly in the retail and construction sectors.

Raul also had previous experience as a Data Scientist / Data Engineer at Intelimétrica from August 2016 to June 2017, where they improved the performance of the company's ML model by implementing a stratified clustering algorithm. Raul had an internship as a Control Engineer at INDI Ingeniería y Diseño S.A.P.I. de C.V. from January 2016 to July 2016, where they contributed to the development of an autonomous exoskeleton.

Furthermore, Raul had a research assistantship in the control theory research group at Tecnológico de Monterrey from August 2015 to July 2016. Raul assisted in gathering relevant sources from academic literature and presented summaries during weekly research meetings. Raul also had an internship as a Mechatronic Engineer at Fraunhofer-Gesellschaft from August 2014 to December 2014, where they worked on prototyping and designing a sorting machine.

Overall, Raul Maldonado has demonstrated expertise in machine learning, data science, and engineering through their work experiences in various industries and positions.

Raul Maldonado's education history includes a Master's degree in Artificial Intelligence from KU Leuven, which they obtained from 2019 to 2020. Prior to that, they earned a Bachelor's degree in Mechatronics, Robotics, and Automation Engineering from Tecnológico de Monterrey between 2011 and 2016. In 2016 and 2017, Raul pursued further education by completing a Machine Learning Engineering Nanodegree from Udacity, specializing in Data Science. Additionally, they participated in a Summer School Course on Micro and Nano-fabrication Techniques at the Massachusetts Institute of Technology in 2015 and studied Renewable Energy through the "rEnergy" program at Karlsruhe University of Applied Sciences in 2014. Furthermore, Raul obtained another certification in Automotive Engineering from Hochschule für Technik und Wirtschaft Berlin, although the specific details of the program are not provided.

Apart from their formal education, Raul also holds several certifications and has completed various courses. These include the AWS Certified Machine Learning - Specialty, AWS Certified Solutions Architect - Associate, and Databricks Certified Associate Developer for Apache Spark 3.0 from respected institutions like Amazon Web Services (AWS) and Databricks. Raul has also completed multiple courses in machine learning and deep learning through platforms such as Coursera and Udacity. Additionally, Raul has received recognition for their accomplishments, including a first-place prize in self-driving drone competition and a participation diploma in Robochallenge.

Overall, Raul Maldonado has a diverse educational background with a focus on artificial intelligence, robotics, and data science. Raul has sought continuous learning opportunities through certifications, online courses, and participation in competitions.