Anthony J Vasquez
About Anthony J Vasquez
Anthony J Vasquez is a System Engineer with extensive experience in machine learning and computer vision. He holds a Master of Science in Data Science from The Johns Hopkins University and has worked in various engineering roles at SRC since 2016.
Work at SRC
Anthony J Vasquez has held multiple positions at SRC, starting as an Electronic Warfare Engineer from 2015 to 2016 for one year in the San Antonio, Texas Area. He participated in the Science, Technology, Engineering, Leadership Rotation (STELR) program. He then transitioned to the role of Systems Engineer within the STELR program, where he worked for seven months in 2018 in Syracuse, New York. Following this, he worked on a Machine Learning Capstone Project as a Systems Engineer from 2018 to 2019, also in Syracuse. In 2019, he took on the role of System Engineer, where he continues to apply his expertise.
Education and Expertise
Anthony J Vasquez studied at The Johns Hopkins University, where he earned a Master of Science in Data Science from 2020 to 2022. He also holds a Bachelor's of Science in Physics with an Applied Physics Concentration from The University of Texas at El Paso, completed from 2012 to 2015. Additionally, he studied Liberal Arts at San Antonio College from 2008 to 2011. His expertise includes supervised and unsupervised machine learning techniques, feature extraction, separation analysis in computer vision, and implementing object detection and classification systems.
Background
Before his engineering career, Anthony J Vasquez served as a Specialist in the U.S. Army and Army National Guard from 2011 to 2017 for six years in the El Paso, Texas Area. His early academic pursuits included a focus on Liberal Arts and Sciences at San Antonio College, followed by a concentration in Physics at The University of Texas at El Paso. His diverse background has contributed to his technical skills and analytical capabilities in engineering.
Achievements
During his tenure at SRC, Anthony J Vasquez has contributed to various projects, particularly in the field of machine learning and electronic warfare. His work in the STELR program allowed him to gain hands-on experience in different engineering roles. He has specialized in machine learning methodologies, including both shallow and deep learning, and has developed systems for object detection and classification, showcasing his technical proficiency.