André Guerrero

André Guerrero's work experience begins with their current role as a Cloud Engineer at Fastly. In this position, they serve as a customer advocate, helping organizations understand technologies such as Edge Computing and CDN architectures and demonstrating technical expertise and ownership across strategic customer accounts.

Prior to Fastly, André worked at Xilinx Inc. as a Product Applications Engineer from 2017 to 2021. In this role, they provided North America Level 3 support, designing solutions, resolving complex technical issues, and implementing new features. André specialized in system design, configuration, and debugging of FPGAs and Embedded applications, and developed advanced scripts in Python and TCL for project automation.

Before Xilinx, André served as a Graduate Research Assistant at New Mexico State University from 2014 to 2016. André'sresponsibilities included conducting data gathering, analysis, and machine learning model development for academic research. André also led the development of a wearable system with Arduino, designed and implemented multiple sensors, and coded novel Machine Learning algorithms using Matlab.

In 2016, André participated in a Summer Internship in Parallel Computational Science at UCAR - The University Corporation for Atmospheric Research. During this internship, they acted as a SCRUM Master, deployed and managed Amazon AWS instances, and conducted ETL and analysis of multi-GB heterogeneous databases for Numerical Weather Prediction.

Lastly, André co-founded and worked as a Web and iOS Apps Developer at ByteWare Apps, a startup founded by a team of New Mexico State University graduate students. André developed web apps using Ruby on Rails, JS, and CSS, as well as mobile apps for iOS devices using Objective-C and Swift. André also handled the setup and administration of Linux virtual servers on Microsoft Azure.

Overall, André Guerrero's work experience showcases their expertise in cloud engineering, customer advocacy, system design, technical support, machine learning, and web and mobile app development.

André Guerrero's education history begins in 2006 when they enrolled at FEI and pursued a Bachelor of Engineering (B.Eng.) degree in Electrical and Electronics Engineering, which they completed in 2011.

After completing their undergraduate degree, André pursued further education and enrolled at New Mexico State University from 2014 to 2016. During this time, they obtained a Master of Science (M.S.) degree in Electrical, Electronics, and Communications Engineering.

In 2016, André continued their education by completing a Machine Learning Specialization program on the Coursera online platform offered by the University of Washington. This specialization focused on Computer and Information Sciences in a general context and was completed in 2017.

In addition to their formal education, André has obtained several certifications to enhance their skills and knowledge. In 2012, they received the NetApp Accredited Storage Architect Professional (ASAP) certification. In 2013, they obtained the EMC Velocity Systems Engineer certification as well as the TOEFL iBT - Test of English as a Foreign Language certification.

In 2014, André completed the R Programming certification offered by Johns Hopkins University. Continuing their certifications in 2018, they obtained the Google Cloud Platform Big Data and Machine Learning Fundamentals certification, as well as the Leveraging Unstructured Data with Cloud Dataproc on Google Cloud Platform certification, both offered by Coursera.

Finally, in 2020, André completed the Deep Learning Nanodegree Program offered by Udacity.

This information provides a comprehensive overview of André Guerrero's education and additional certifications, without making any assumptions beyond what is explicitly stated.