Brad Kenstler
Director, General Agents at Scale AI
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolBrad Kenstler is an AI leader and product-minded researcher who builds and scales autonomous agents, currently directing Agent Capabilities & Environments at Scale AI after a decade working across foundation labs and enterprise customers. He designs RL environments, post-training methods, benchmarks and leaderboards that help foundation models perform real-world tasks—from coding and tool-use to GUI automation—while collaborating closely with model labs to create bespoke data and human-supervision pipelines. Previously he led large applied science teams at AWS, delivering ML solutions across healthcare, media, sports and CPG, and has founded consumer GenAI apps for structured-data extraction and no-code automation. Combining an MS in Data Science with an MBA from Berkeley, Brad blends research, engineering and go-to-market instincts to move agents from lab prototypes to infrastructure-scale automation.
8 years of coding experience
8 years of employment as a software developer
Master of Science (M.S.) Data Science, Master of Science (M.S.) Data Science at University of San FranciscoMBA, MBA at University of California, Berkeley, Haas School of BusinessFORM + FUND Fellow Start-ups, IP, VC Due Diligence, FORM + FUND Fellow Start-ups, IP, VC Due Diligence at University of California, Berkeley - School of Law
English
Github Skills (20)
sagemaker9
aws9
huggingface9
jupyter-notebook9
python8
amazon-sagemaker8
reinforcement-learning8
inference8
machine-learning8
cnn-architecture8
data-science8
machine-learning-models7
pytorch7
mxnet7
tensorflow7
Programming languages (3)
Github contributions (5)
kenstler/aws-ml-iot-lab
May 2018 - Jul 2018
Contributions:85 commits, 4 PRs, 83 pushes in 2 months
aws-samples/aws-ml-vision-end2end
Feb 2018 - Apr 2018
Content consists of Jupyter Notebook tutorials walking through deep learning Frameworks (MXNet, Gluon) to Platforms (SageMaker, DeepLens) for common CV use-cases
Contributions:8 commits, 4 pushes in 1 month
deep-learningjupyter-notebookmxnetsagemaker
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