Taylor Brazelton

Chief Technology Officer at ProcessAI Corporation

Redmond, Washington, United States
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Summary

👤
Senior
🎓
Top School
Taylor Brazelton is a pragmatic CTO and product-minded engineer with 13 years of experience turning chaotic engineering efforts into production-grade, scalable systems. Currently leading technology at Provn while co-founding StackSite and consulting for ProcessAI, he blends hands-on software delivery with strategic decisions about what to build—and what to cut—to align engineering with business outcomes. His background includes senior roles at Microsoft and multiple successful acquisitions, including guiding Degree37 to acquisition within four months as a fractional CTO. Based in Redmond, he prioritizes cloud infrastructure that "cooperates," cross-functional alignment, and making AI a load-bearing part of products rather than decorative. Colleagues describe him as relentlessly focused and hardworking (Hardworking.tar.gz), able to shepherd teams from prototype to reliable, ship-ready services.
code13 years of coding experience
job16 years of employment as a software developer
bookCISCO - Computer Networking, CISCO - Computer Networking at SICTC
bookOak Hill Middle School
bookBachelors of Science, Computer Science, Bachelors of Science, Computer Science at Purdue University
bookNorth High School
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Github Skills (200)

visual-studio10
couchdb10
azure-logic-apps10
token-based-authentication10
powerapps10
api10
nodejs10
svelte10
mongodb10
php10
sqlalchemy10
programming-language10
python10
api-client10
docker-container10

Programming languages (15)

C#PowerShellC++MakefileGoHTMLJupyter NotebookTypeScript

Github contributions (5)

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Ryanb58/sdc-vision

Nov 2019 - Sep 2024

Self Driving Car Vision
Contributions:2 PRs, 3 pushes, 3 branches in 4 years 10 months
visiondeep-learningmachinelearningcomputer-visionself-driving
Ryanb58/neural-networks

Oct 2019 - Oct 2022

Just messing around, trying to build some neural networks.
Contributions:11 PRs, 18 pushes, 13 branches in 3 years
pythondeep-learningneural-networksmachine-learningneural-network
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