David Harrison
Machine Learning Engineer at Apple
Berkeley, California, United States
Summary
👤
Senior🎓
Top SchoolDavid Harrison is a Machine Learning Engineer based in Berkeley with 12 years of experience building efficient, production-ready AI systems, currently driving ML work at Apple. His background spans research-adjacent roles—designing novel architectures and loss functions at Xnor.ai for on-device computer vision—to practical engineering across backend and frontend stacks during earlier startup and internship roles. He brings a functional-programming and teaching mindset from TAing core CS courses at UC Berkeley, which informs clear model design and reproducible training pipelines. Comfortable implementing papers end-to-end and optimizing C++ inference, he blends algorithmic rigor with systems-level performance tuning.
12 years of coding experience
4 years of employment as a software developer
Bachelor of Arts (BA), Computer Science, 3.85, Bachelor of Arts (BA), Computer Science, 3.85 at University of California, Berkeley
English, French
Stackoverflow
327reputation
2kreached
0answers
4questions
Github Skills (95)
python10
deep-learning10
gpu10
purescript10
numpy10
neural-network10
machine-learning10
acceleration9
tokenizer9
tensor9
flow-based-programming9
nlp9
testing9
word-segmentation9
gpu-acceleration9
Programming languages (11)
Github contributions (5)
AlbanyCompSci/aeries-api
Nov 2013 - Dec 2013
Contributions:37 commits in 1 month
DavidHarrison/purescript-list-zipper
Jul 2015 - Apr 2016
Contributions:29 commits, 2 PRs, 20 pushes in 9 months
zipperpurescript
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