Lee James is a highly skilled engineer with extensive experience in software and hardware engineering, particularly in natural language processing (NLP) and AI. At Axon, accomplishments include scaling services significantly and leading innovative architectures for processing audio data. Lee transitioned through various engineering roles in a rotational program, excelled as a Tech Lead, and mentored junior engineers. An undergraduate research assistant at David Hu's Research Lab and a digital hardware engineer at National Instruments, noteworthy contributions include optimizing hardware solutions for high-performance equipment. Currently serving as a Senior Engineer at Google DeepMind, previous roles also include impactful projects at Google and contributions to scalable architectures for telemetry collection. Lee holds a Bachelor's Degree in Mechanical Engineering with a minor in Electrical Engineering from the Georgia Institute of Technology, achieving a commendable GPA of 3.92.
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