Daniel Barajas
About Daniel Barajas
Daniel Barajas is a Software Engineer currently employed at Rescale, where he has worked since 2021. He holds a Bachelor's degree in Computer Science from the University of San Francisco, where he also served as a Teaching Assistant and Research Assistant.
Work at Rescale
Daniel Barajas currently serves as a Software Engineer at Rescale, a position he has held since 2021. In this role, he has contributed to various software development initiatives, including the creation of a software development kit (SDK) in Python. His work at Rescale focuses on enhancing computational resources and optimizing workflows for clients in high-performance computing.
Education and Expertise
Daniel Barajas earned a Bachelor's degree in Computer Science from the University of San Francisco, completing his studies from 2017 to 2021. His academic background provided him with a solid foundation in software development, algorithms, and data analysis, which he applies in his professional work.
Background
Before joining Rescale, Daniel Barajas held multiple positions at the University of San Francisco. He worked as a Teaching Assistant and Research Assistant from 2019 to 2021. His responsibilities included supporting faculty and students in various computer science courses and conducting research on projects related to rain prediction, sentiment analysis, and voice data predictions.
Research and Projects
During his time at the University of San Francisco, Daniel Barajas was involved in several research projects. These projects included rain prediction, sentiment analysis, and voice data predictions, which allowed him to apply theoretical knowledge to practical challenges in data science and machine learning.
Previous Experience at University of San Francisco
Daniel Barajas worked at the University of San Francisco in various capacities. He served as a Teaching Assistant for a total of 10 months across different terms, providing support to students and faculty. Additionally, he worked as a Research Assistant for two years, contributing to academic research and gaining valuable experience in the field.