About Me

My name is Tyler King and I am a recent engineering graduate from Cornell University with a Bachelors of Science in Computer Science. Currently, I work at AWS Bedrock, evaluating foundation models and building ML infrastructure as part of model migration. In my downtime, I work in the McMahon Lab, where I train coupled oscillator neural networks for efficient ML inference.

My broad interest is efficient ML, especially at the intersection of controllable physical systems and software. I am excited about co-designed hardware/algorithms that can provide orders-of-magnitude efficiency gains for ML workloads, scaling beyond traditional von Neumann computing constraints.

I've additionally contributed to several open-source initiatives, including development of a repository for simulating dynamics of various coherent Ising machines, which can be viewed at cim-optimizer (for which I currently maintain).

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