Welcome!

Hi, I'm Rob Rainer. I'm a Controls Engineer with experience in accelerator control systems, EPICS integration, and Python-based applications. I enjoy solving complex problems and exploring AI-driven solutions to improve efficiency and performance.

Highlighted Projects

• AI-Assisted Accelerator Timing System: Leveraged AI to modernize the timing system by designing and implementing Ethernet-based EPICS IOCs, eliminating reliance on deprecated 3100 CPUs and RTEMS. This upgrade improved reliability, enabled remote diagnostics, and enhanced system scalability.
• EPICS-Based Area Radiation Monitor (ARM) Modernization:
  • Updated the EPICS device driver to accommodate new hardware, using AI to optimize the refactoring process.
  • Modernized the way ARMs, which are a part of the Personnel Protection System (PPS), transmit data streams over the network through network hardware and configuration upgrades, improving reliability and scalability.
• SBM Top-Off Application: Enhanced machine efficiency by enabling uniform beam injection and implementing ML techniques for optimization.
• Server Virtualization for Accelerator Control Systems:
  • Deployed and managed virtualized environments to optimize resource allocation and system redundancy.
  • Integrated EPICS-based services into virtual machines to streamline deployment, enhance maintainability, and improve operational flexibility.