Philip Van Every
About Philip Van Every
Philip Van Every is a Senior Software Engineer in R&D Science and Engineering at Sandia National Laboratories, with extensive experience in software development, cloud architectures, and image processing.
Current Position at Sandia National Laboratories
Philip Van Every currently holds the title of R&D Science And Engineering - Senior Software Engineer at Sandia National Laboratories. He has been serving in this role since 2022, working in Albuquerque, New Mexico. His responsibilities include leading a multidisciplinary working group and developing next-generation, GPU-based image registration algorithms for geolocation error correction. He also works on scalable cloud architectures for real-time data distribution, including a Kafka-based deployment in AWS.
Previous Positions at Sandia National Laboratories
Previously, Philip served in multiple roles at Sandia National Laboratories. From 2018 to 2022, he was an R&D Science & Engineering - Software Engineer. He also participated in the Critical Skills Masters Program from 2016 to 2018 and started his journey at Sandia as an R&D Intern from 2014 to 2016. His tenure at the lab has involved significant contributions, including the development of a UDP-based file transfer service and a C++/QT GUI application for real-time imagery data visualization.
Educational Background
Philip Van Every pursued higher education at multiple esteemed institutions. He obtained his Master of Science in Computer Science from Purdue University, studying from 2016 to 2018. He also earned his Bachelor's degree in Computer Engineering from The University of New Mexico, where he studied from 2012 to 2016. Additionally, he attained an Associate of Science in Engineering from Central New Mexico Community College between 2010 and 2013.
Early Career Experience at Central New Mexico Community College
Before joining Sandia National Laboratories, Philip worked as a Math Tutor at CNM - Central New Mexico Community College from 2012 to 2014. This position allowed him to gain valuable experience in tutoring and mentoring students, aiding them in understanding complex mathematical concepts.
Technical Projects and Expertise
Philip Van Every has designed, developed, tested, and deployed high-impact technical projects. Notable projects include a high-speed, UDP-based file transfer service with a custom API and a C++/QT GUI application for real-time display of imagery data and metadata. He also led a research project successfully applying a fine-tuned YOLO model in PyTorch to novel overhead imagery datasets. His expertise extends to high bandwidth imagery and telemetry data formats.