Rob Mc Peak
About Rob Mc Peak
Rob Mc Peak is a Software Engineering Manager at Scientific Games, where he has worked since 2008. He has a background in Computer Science and Electrical Engineering and has contributed to various projects, including diagnostic tools for networking issues and a telemetry gathering system utilizing advanced technologies.
Work at Scientific Games
Rob Mc Peak has served as a Software Engineering Manager at Scientific Games since 2008. In this role, he has been instrumental in enhancing software deployment processes through the establishment of an internal system of mirrors for Linux packages and internal tools. His responsibilities include managing the development of advanced systems, such as a telemetry gathering system that incorporates technologies like Amazon AWS and MQTT. Mc Peak has also designed a distributed, fault-tolerant Windows system for digital rights management in slot machine games, showcasing his expertise in both software engineering and systems management.
Education and Expertise
Rob Mc Peak studied at California State University-Sacramento, where he focused on Computer Science and Electrical Engineering from 1986 to 1996. His educational background provides a solid foundation for his career in software engineering. Mc Peak's expertise includes embedded systems, networking, and automation, as evidenced by his work on diagnostic tools for networking issues and the creation of an automated Linux installation system using kickstart.
Background
Before joining Scientific Games, Rob Mc Peak worked as a Software Engineer at Progeny Systems Corporation from 2006 to 2008. His experience in this role contributed to his development as a software engineer, allowing him to refine his skills in problem-solving and system design. Mc Peak's career has been characterized by a focus on improving software processes and enhancing production efficiency through innovative solutions.
Achievements
Throughout his career, Rob Mc Peak has achieved significant milestones in software engineering. He created diagnostic tools to address networking issues on an embedded Linux platform, demonstrating his ability to solve complex problems. Additionally, he developed provisioning fixtures that improved manufacturing processes and streamlined production efficiency. His work on implementing computer vision code for card recognition and manipulation detection further illustrates his technical capabilities and innovative approach to software development.