Richard Kalling is an owner-engineer with 10+ years building GPU-accelerated, sensor-integrated systems for high-stakes environments like fusion research and autonomous vehicles. He founded Kalling Software and developed Fusion Sage, a framework that wraps ML models, vector databases, and custom tools to accelerate fusion experiments and remote collaboration. His career blends real-time computer vision, GPGPU optimization, and large-format visualization—work that includes motion-tracking, magnetic field tracing, and multi-sensor situational awareness systems. He’s practical about deployment: architecting CI/dependency management, low-latency AV broadcasts, and tooling to make distributed, GPU-heavy workflows reproducible. Based in Greater Seattle with a USC computer engineering and CS background, he pairs deep technical fluency with hands-on scientific domain experience that lets him turn complex experimental constraints into reliable software.
10 years of coding experience
7 years of employment as a software developer
BS, Computer Engineering and Computer Science, BS, Computer Engineering and Computer Science at University of Southern California
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Richard Kalling - Owner Engineer at Kalling Software