Nathan Gifford
Software Hardware Engineer at QBayLogic
Seattle, Washington, United States
Summary
👤
Senior🎓
Top SchoolNathan Gifford is a versatile software-hardware engineer based in Seattle with 10 years of experience building production systems across iOS, cloud services, and embedded domains. He has shipped features and performance-focused tooling at AWS and now applies both software and hardware skills at QBayLogic, combining C++/Objective-C fluency with low-level systems thinking. His background includes accelerating deep-learning pipelines (100x speedups) and improving model accuracy, plus contributing significant, production-ready code at scale during an AWS Launch Wizard launch. Comfortable across languages from Java and Scheme to C, he brings a pragmatic engineering mindset that favors measurable impact and finishing projects — as his GitHub quip admits. With a BA in Computer Science from Grinnell, he blends academic rigor in neuroscience-adjacent thinking with hands-on product delivery.
10 years of coding experience
3 years of employment as a software developer
Bachelor of Arts - BA Computer Science Neuroscience Concentration, Bachelor of Arts - BA Computer Science Neuroscience Concentration at Grinnell College
Github Skills (34)
swift9
detector8
binding8
programming-language8
multiclass-classification5
gnu5
modulo5
gdb5
debugger-visualizer5
ocr5
python5
text-detection4
browser4
deep-learning4
sat4
Programming languages (7)
Github contributions (5)
enathang/EAST
Jul 2018 - Sep 2018
A tensorflow implementation of EAST text detector
Contributions:1 PR, 21 pushes, 5 branches in 1 month
pythontext-detectordetectortensorflow
enathang/Basic_Chess
May 2017 - Nov 2017
Contributions:8 pushes, 1 branch in 6 months
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