James Kyle
About James Kyle
James Kyle is a Manager and Software Engineer with extensive experience in software development and engineering, particularly in Unix-like environments. He has held positions at notable companies such as Uber and AT&T, and currently works at SafeGraph, focusing on distributed systems and reliability engineering.
Current Role at SafeGraph
James Kyle has been working at SafeGraph as a Manager and Software Engineer since 2020. He is based in the Greater Seattle Area and has contributed to various projects within the organization. His role involves overseeing software engineering tasks and managing teams to enhance the company's data solutions.
Previous Experience at Uber
Before joining SafeGraph, James Kyle worked at Uber as a Senior Software Engineer II from 2016 to 2020. During his four years in the San Francisco Bay Area, he focused on developing software solutions that supported the company's operational needs and contributed to its technological advancements.
Education and Expertise
James Kyle holds a Master's Degree in Computer Science from Georgia Institute of Technology, which he earned from 2015 to 2018. He also has a Bachelor of Arts degree from Tulane University, where he studied Computer Engineering, Psychology, and Philosophy from 1994 to 2005. His educational background supports his expertise in various technologies, including Kafka, Go, Python, and distributed systems.
Background in Cognitive Neuroscience
James Kyle has a notable background in cognitive neuroscience, having worked at the Center for Cognitive Neuroscience at UCLA in various roles from 2006 to 2011. His positions included Research Assistant and Programmer/Analyst, where he gained experience in MRI image analysis and medical imaging specifications, including DICOM.
Technical Skills and Specializations
James Kyle specializes in a range of technologies relevant to modern software engineering. His skills include reliability engineering, software-defined networks, OpenStack, KVM, and containerization. He has also worked with grid computing technologies such as Sun Grid Engine and Torque, and he is currently investigating methods for automatic optimization of distributed infrastructure.