Summary
Thomas Børstad is an AI performance engineering manager and seasoned full-stack engineer with 12 years of experience bridging transistor-level analog design and large-scale ML systems. He has led product and platform work that shipped real-time ML to over 100M mobile phones, combining embedded DSP optimization with cloud-based MLOps and customer-facing delivery. At Elliptic Labs he drove cross-domain integration—aligning Python, C++, CPU/GPU, and embedded DSP teams—to avoid silos and accelerate productization, and now applies that expertise at Modular. Thomas is also the creator of csvplot.com and soniplot.com, reflecting a blend of pragmatic tooling and curiosity about signal processing. His background in analog/RF layout and CAD scripting gives him an uncommon hardware-aware perspective on software performance and architecture. Based in Oslo, he excels at turning deep low-level constraints into scalable, production-ready ML solutions.
12 years of coding experience
11 years of employment as a software developer
Non-degree Biomedical/Electrical Engineering, Non-degree Biomedical/Electrical Engineering at University of Minnesota
Norwegian University of Science and Technology
Norwegian, English