Jonathan Whitaker
R&D at fast.ai
Portland, Oregon, United States
Summary
🤩
Rockstar🎓
Top SchoolJonathan Whitaker is an R&D-focused AI researcher and educator with a decade of experience translating deep technical ideas into practical tools and teaching materials. Based in Portland, he has led courses and research efforts at Fast.ai and Hugging Face, helped improve generative image models at Playground AI, and now drives R&D at Answer.AI while coauthoring a hands-on book on generative models. He blends research, consulting, and pedagogy—building models and integrating them into products while demystifying complex topics for broad audiences. Beyond formal roles, he consults on diverse applied projects from GIS to competition-winning data science solutions and runs accessible courses and tutorials that reflect a commitment to pragmatic, reproducible AI.
10 years of coding experience
5 years of employment as a software developer
BSc(Eng), Electrical and Computer Engineering, BSc(Eng), Electrical and Computer Engineering at University of Cape Town
Github Skills (13)
datadog10
hugo10
documentation10
python9
discounts6
trend4
monitoring1
jekyll1
dashboard1
nanoc1
yaml-frontmatter1
jekyll-theme1
yaml1
Programming languages (2)
Github contributions (5)
Aziraphale81/swot
Feb 2017 - Dec 2024
Contributions:2 pushes in 7 years 11 months
pythonemailaddressesemail-addressescolleges
Aziraphale81/website
May 2017 - May 2017
Contributions:13 pushes, 4 branches in 1 day
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