Jacob Platin
Summary
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RockstarJacob Platin is a Software Engineer III specializing in machine learning performance and inference optimization, currently at Google with eight years of industry experience. At Microsoft Azure AI Speech he accelerated distributed training and inference—applying DeepSpeed, FSDP, novel attention techniques, quantization, and detailed PyTorch/NVIDIA/ONNX profiling—to scale speech and multimodal models. He built and maintained a training framework used by 200+ engineers and delivered the infrastructure and tooling to reliably run large-scale training and evaluation on Azure. His earlier roles span cloud systems and robotics, including integrating inverse kinematics into Unity and creating a VR workspace capture, showing a rare mix of low-level performance tuning and product-facing tooling. Based in the Greater Seattle area, he combines systems engineering rigor with cross-domain curiosity to make large ML models practical in production.
8 years of coding experience
Github Skills (17)
python8
deep-learning8
gpu8
machine-learning8
neural-network6
tensorflow6
neural-networks6
numpy5
gpt3
gpu-acceleration3
acceleration3
tensor3
large-language-models3
llm2
autograd2
Programming languages (2)
Github contributions (5)
jrplatin/jrplatin.github.io
Jul 2020 - Sep 2024
Contributions:35 pushes, 1 branch in 4 years 2 months
jrplatin/AlgorithmImplementations
Jul 2019 - Dec 2020
Contributions:13 pushes, 1 branch in 1 year 5 months
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