Hooman Mahyar
Software Engineer at Amazon
Seattle, Washington, United States
Summary
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SeniorHooman Mahyar is a software engineer with 11 years of experience, currently building systems at Amazon from his base in Seattle. He has a strong machine learning focus—especially deep learning and computer vision—and a proven track record of turning ML research into production features, from an industrial HTTP-request classifier and cacheability predictor (98.2% F1) at Verizon to NLP pipelines for question answering at a research institute. Comfortable across the stack, he has implemented APIs and production-ready classifiers using ensembles, neural networks, SVMs and online decision trees. Known for pragmatic problem-solving, he blends algorithmic rigor with scalable engineering to handle real web-scale traffic and ML model deployment. Off the resume, his GitHub persona (“hooman@y:~$ whoami”) hints at a curious, hands-on developer who enjoys exploring identity at the command line.
11 years of coding experience
5 years of employment as a software developer
Github Skills (200)
graphiql10
autocomplete10
vim10
visual-studio10
editor10
prompt10
codegen10
color-scheme10
golang10
graphql-tools10
artemis10
electron10
typescript10
vscode-extension10
vscode10
Programming languages (16)
Github contributions (5)
yar00001/NodeOnBoot
Nov 2015 - May 2016
Contributions:15 commits, 6 pushes, 2 branches in 5 months
yar00001/yar00001.github.io
Nov 2015 - Sep 2021
Contributions:19 pushes, 3 branches in 5 years 11 months
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