Danny Hernandez
Research Scientist at Anthropic
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolDanny Hernandez is a research scientist in San Francisco with 13 years of experience measuring and forecasting AI progress, currently at Anthropic after leading similar efforts at OpenAI. Trained as a mechanical engineer at MIT, he blends rigorous quantitative modeling with product instincts honed at Twitch, where he drove growth experiments, built widely used features like autohost, and led cross-functional engineering teams. His work uniquely bridges deep technical forecasting—turning complex metrics into actionable foresight—with hands-on product development and organizational influence. Known for translating noisy signals into reliable predictions, he brings an engineer’s attention to experimental design alongside a track record of shipping impact-driven tools.
13 years of coding experience
8 years of employment as a software developer
B.S., Mechanical Engineering, B.S., Mechanical Engineering at Massachusetts Institute of Technology
English, Spanish
Github Skills (29)
efficientnet9
resnet9
api8
mobilenet8
optimizer8
imagenet7
visual-recognition7
pytorch6
cnn-classification6
image-classification6
vision-transformer5
mixnet5
distributed-training4
transformer4
deep-learning3
Programming languages (2)
Github contributions (5)
DannyHernandez/dannyhernandez.github.io
Feb 2017 - Sep 2017
Contributions:21 pushes, 1 branch in 7 months
openai/ai-and-efficiency
Apr 2020 - Jun 2020
Submissions for AI and Efficiency SOTA's
Contributions:2 commits, 1 PR, 5 pushes in 1 month
imagenetsubmissionsdeep-learningmachine-learningsota
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