Daniel Cox
Staff Software Engineer at Google
Alexandria, Virginia, United States
Summary
👤
Senior🎓
Top SchoolDaniel Cox is a Staff Software Engineer based in Alexandria, VA with 14 years of experience building AI-driven, distributed systems and production-grade architectures. He blends deep expertise in deep reinforcement learning, algorithms, and discrete math with hands-on distributed computing and systems design, recently moving from Staff Architect to Staff Software Engineer at Google. Previously he led applied sciences and AI teams at greymatter.io, rising from CTO to AI Technical Director while delivering ML solutions into production. His open-source contributions include data-driven visualizations such as an interactive COVID-19 dashboard that leverages Plotly to make complex pandemic trends accessible. Known for bridging theoretical CS rigor with pragmatic engineering, he often translates research ideas into scalable products and clear visual insights. His background as an EMT and early web development experience reflect a practical, service-oriented mindset applied to technical leadership.
14 years of coding experience
15 years of employment as a software developer
High School, High School at Eagle Harbor High SchoolBachelor of Science - BS Computer Science and Engineering, Bachelor of Science - BS Computer Science and Engineering at Cornell University
Stackoverflow
476reputation
29kreached
6answers
5questions
Github Skills (19)
data-visualizations10
python10
data-visualisation10
vi10
data-visualization10
plotly10
co10
covid-testing10
jupyter9
data-science9
maven6
zsh6
ruby-on-rails6
clojure6
php6
Programming languages (17)
Github contributions (5)
github/covid19-dashboard
Mar 2020 - Apr 2020
A site that displays up to date COVID-19 stats, powered by fastpages.
Role in this project:
Data Scientist
Data ScientistContributions:8 commits, 1 PR, 4 comments in 7 days
Contributions summary:Daniel contributed to the COVID-19 dashboard by adding a visualization comparing average daily new cases and total confirmed cases for US states. They implemented this interactive visualization using Plotly, creating dynamic charts with hover functionality and animation. Their work focused on presenting data in a clear and insightful way to help understand the progression of the pandemic.
nteractanalyticspythonreactdata-science
danielpcox/dotfiles
Mar 2015 - Jan 2021
Contributions:41 pushes, 1 branch in 5 years 10 months
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