Brett Kuprel
Chief Executive Officer at Neurvona
San Francisco Bay Area United States
Summary
🤩
Rockstar🎓
Top SchoolBrett Kuprel is a PhD candidate at Stanford AI Lab with 10 years of software engineering experience, focused on bridging research and production for generative models. He contributed to min-dalle, a fast PyTorch port of DALL·E Mini, where he implemented image decoding via JAX/Flax and built model serving infrastructure as a back-end and MLOps engineer. Brett specializes in translating research frameworks into production-ready systems, balancing training, integration, and scalable deployment.
11 years of coding experience
BS, Electrical Engineering, BS, Electrical Engineering at University of MichiganDoctor of Philosophy (PhD), Electrical Engineering, Doctor of Philosophy (PhD), Electrical Engineering at Stanford University
Github Skills (10)
continuous-deployment10
tensorflow210
machine-learning10
text-to-image10
jax10
tensorflow10
ml-deployment10
flax10
deep-learning9
pytorch8
Programming languages (11)
Github contributions (5)
kuprel/min-dalle
Jun 2022 - Nov 2022
min(DALL·E) is a fast, minimal port of DALL·E Mini to PyTorch
Role in this project:
Back-end Developer & MLOps Engineer
Back-end Developer & MLOps EngineerContributions:4 releases, 15 reviews, 352 commits in 4 months
Contributions summary:Brett appears to be primarily involved in the development of back-end components and processes. They have focused on defining the functionality of image decoding through Jax and Flax, and setting up model serving infrastructure. The user also demonstrated experience in working with machine-learning models in the context of the DALL·E mini project, handling the various facets of training and integration.
pytorchdall-edeep-learningtext-to-imageartificial-intelligence
kuprel/kuprel.github.io
Jul 2016 - Aug 2021
Contributions:5 pushes, 1 branch in 5 years 1 month
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