Thomas Børstad has extensive experience in engineering and technology, currently serving as the AI Performance Engineering Manager at Modular since December 2024. Previously, Børstad worked at Elliptic Labs from March 2015 to June 2017 in various roles including Algorithm Engineer, where foundational ultrasound proximity sensing algorithms were developed, and DSP Engineer, focusing on real-time algorithm implementations. Børstad also held roles as ML Ops, Product & Team Lead from 2021 to 2023, enhancing ML infrastructure and customer satisfaction, and as ML & Algorithms, Product & Team Lead from 2017 to 2021, leading the development of a real-time ML platform. Børstad's technical expertise includes serving as Principal Engineer, facilitating cross-domain integration and strategic technology decisions. Earlier experience includes a role as RF & Analog Designer at Energy Micro AS, and educational qualifications include a Master of Technology degree in Medical Cybernetics from NTNU and non-degree coursework in Biomedical/Electrical Engineering at the University of Minnesota.
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