Jason is a Principal Machine Learning Engineer at Toyota Connected, leading the end-to-end implementation of LLM-based generative AI solutions for both cloud and edge environments. His expertise covers building MLOps pipelines and optimizing models for on-device inference. He holds a Master of Science from the UMN Carlson School of Management.
His academic background suggests an interest in global perspectives, as he earned a Bachelors degree in East Asian Studies in addition to Business Administration from Bucknell University. He has previously held senior ML engineering roles at HelloFresh and started his data science career at State Farm.
He has a specialized focus on optimizing complex AI models through quantization and pruning to run efficiently on in-vehicle hardware.
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