Kunjan Patel is a Machine Learning Engineer with nine years of experience building high-performance ML infrastructure and production systems, currently focused on optimizing training and inference for diffusion models on XLA devices (TPU and GPU) using JAX. At Google he has written low-level TPU kernels and driven core ML performance improvements, and prior roles include optimizing distributed LLM inference on Kubernetes for GKE. He maintains the maxdiffusion project, demonstrating practical open-source work that accelerates diffusion model workflows on accelerators. Based in Seattle and trained at UCLA in Computer Science, he blends systems engineering rigor with ML research tooling. Colleagues describe him as a kernel-minded engineer who “plays games in his programs,” reflecting a playful curiosity that surfaces in efficient, elegant implementations.
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Contributions:221 commits, 151 PRs, 155 pushes in 3 years 5 months
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Kunjan Patel - Machine Learning Engineer at Google