Jon Kyl
Research Engineer at Mirage
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolJon Kyl is a machine learning engineer with a decade of experience building production-ready generative and real-time vision systems, currently a Member of Technical Staff in San Francisco. He has led development of diffusion, VAE, and GAN models for video, textures, and inpainting—shipping integrated tooling inside the Unity editor and architecting autoscaling serving infrastructure to support thousands of concurrent users. Prior roles include mobile real-time SR and ML-assisted raytracing at Huawei and research-driven generative art and video foundation work, reflecting a blend of academic rigor (BA Hons, Physics; MS Computer Science, UChicago) and production discipline. He’s deliberately avoided reliance on indiscriminately scraped pre-trained weights in favor of permissively licensed and synthetic datasets, highlighting a practical focus on model safety and data ownership.
10 years of coding experience
8 years of employment as a software developer
BA with Honors Physics, BA with Honors Physics at University of Chicago
Github Skills (86)
python10
deep-learning10
gpu10
gpu-acceleration10
acceleration10
numpy10
neural-network10
tensor10
jax10
data-science10
automatic-differentiation10
tensorflow10
autograd10
autodiff10
pytorch10
Programming languages (8)
Github contributions (5)
jkyl/biggan
Sep 2017 - Sep 2020
BigGAN in idiomatic Keras
Contributions:329 commits, 3 PRs, 325 pushes in 2 years 11 months
idiomaticdeep-learningbiggantensorflowkeras
jkyl/conv_reverb
Mar 2016 - Mar 2016
Contributions:52 commits, 85 pushes, 1 branch in 15 days
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