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ai-engineer
Jeremy Howard
fast.ai co-founder; the fastai library and Deep Learning for Coders.
Co-founded fast.ai and co-authored the fastai library along with the book Deep Learning for Coders with fastai & PyTorch. Teaches the practical end of training and fine-tuning through a free course that is widely used as the entry point into applied deep learning, and previously served as president of Kaggle.
Technical stack & depth
Fine-tuning
Data pipelines, adapters, and knowing when training is the wrong move.
Production hardening
Latency, cost, observability, and the path from a notebook to a service.
Engineered solutions
- Repositoryfastai/fastaigithub.com
Co-author and maintainer of the fastai deep-learning library.
- Write-upPractical Deep Learning for Coderscourse.fast.ai
Free course covering training, fine-tuning, and deployment for working developers.
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