Charles Peeke
About Charles Peeke
Charles Peeke is a Graduate Teaching Assistant at The George Washington University, where he has worked since 2021. He has a background in computer science, having held various positions at Moravian College and LendingTree, and he earned his Master's degree from The George Washington University in 2023.
Current Role at The George Washington University
Charles Peeke currently serves as a Graduate Teaching Assistant at The George Washington University. He has held this position since 2021, contributing to the academic environment in Washington, District of Columbia. His responsibilities likely include supporting faculty in course delivery, assisting students with coursework, and engaging in educational activities that enhance the learning experience.
Previous Experience at Moravian College
Charles Peeke has extensive experience at Moravian College, where he held multiple roles from 2016 to 2021. He worked as a Computer Science Tutor and Lab Assistant, providing support to students in computer science courses. Additionally, he served as a Lead Salesforce/CRM Developer and participated as a Research and Development Intern in two separate instances. His involvement as a Senior Capstone Student and Student Research Member further demonstrates his commitment to academic and practical applications of computer science.
Professional Experience at LendingTree
Charles Peeke worked as a Software Engineer II at LendingTree for nine months in 2020. In this role, he contributed to software development projects within the Charlotte, North Carolina area. His experience at LendingTree added to his technical skills and industry knowledge in software engineering.
Educational Background
Charles Peeke earned his Bachelor's Degree in Computer Science and Mathematics from Moravian College, completing his studies from 2015 to 2019. He later pursued a Master's degree in Computer Science at The George Washington University, where he studied from 2021 to 2023. This educational background provided him with a solid foundation in both theoretical and practical aspects of computer science.