S. Garrett Williams

S. Garrett Williams has a diverse work experience in various roles and organizations. From 2014 to 2020, they worked as a Graduate Student Researcher at Arizona State University. Following this, from 2019 to 2022, they served as a Consultant at Skysong Innovations (SI). In 2022, they joined Sandia National Laboratories as a Postdoctoral Researcher until 2023. Currently, they are employed as a Process Engineer at Solestial since March 2023.

S. Garrett Williams has a strong educational background, having completed a Doctor of Philosophy (PhD) degree at Arizona State University from 2014 to 2020. Although the field of study for the PhD is not specified, it can be inferred that it is relevant to their subsequent certifications in TensorFlow and computer vision, indicating a focus on technology and scientific research.

Prior to pursuing their PhD, S. Garrett Williams obtained a Bachelor of Science (B.S.) degree in Chemistry from Colorado State University Pueblo, where they studied from 2011 to 2014.

In addition to their formal education, S. Garrett Williams has obtained several certifications to enhance their skills in computer vision and TensorFlow. These certifications include "Advanced Computer Vision with TensorFlow," "Custom and Distributed Training with TensorFlow," "Custom Models, Layers, and Loss Functions with TensorFlow," "Convolutional Neural Networks in TensorFlow," "Natural Language Processing in TensorFlow," "Sequences, Time Series and Prediction," and the "TensorFlow Developer Certificate." These certifications were obtained from various institutions, including Coursera and TensorFlow, between 2021 and 2022.

Overall, S. Garrett Williams has a diverse and comprehensive education history that combines academic degrees in chemistry and a PhD, along with specialized certifications in TensorFlow and computer vision.