Paul Decarlo
Principal Cloud Advocate And Manager In Developer Relations
Houston, Texas, United States
Summary
🤩
Rockstar🎓
Top SchoolPaul DeCarlo is a Principal Cloud Advocate and Manager in Developer Relations at Microsoft with 12 years of experience building and evangelizing cloud- and IoT-driven solutions. He leads content and strategy that align engineering releases with real-world device-to-cloud scenarios, particularly in edge computing and computer vision, and publishes product feedback to influence engineering roadmaps. As an adjunct professor at the University of Houston he teaches cloud-driven mobile app development, blending academic rigor with practical industry experience. His hands-on background includes embedded systems and IoT firmware work—contributing to projects that connect sensors and Particle devices to Azure—which informs his ability to demo and scale developer-focused references. Based in Houston, he pairs an MS in Computer Science with a psychology and business undergraduate mix, giving him a rare combination of technical depth, user-centered perspective, and go-to-market savvy.
13 years of coding experience
6 years of employment as a software developer
MS Computer Science, MS Computer Science at University of Houston
Stackoverflow
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Github Skills (10)
iot10
c-language10
cprogramming-language10
iot-devkit10
webhooks10
microsoft-azure9
sys9
azure9
embedded9
rest-api8
Programming languages (18)
Github contributions (5)
Azure/connectthedots
Jan 2015 - Jun 2017
Connect tiny devices to Microsoft Azure services to build IoT solutions
Role in this project:
Embedded Systems Engineer / IoT Developer
Embedded Systems Engineer / IoT DeveloperContributions:24 commits, 15 PRs, 10 comments in 2 years 5 months
Contributions summary:Paul contributed significantly to integrating various hardware devices (SparkCore and potentially others) with the Azure cloud platform. Their work focused on developing firmware and application code for these devices, specifically involving the integration of sensors (DHT11, DS18B20) to collect environmental data and send it to the cloud using Particle Webhooks. The user also refactored and optimized the code for the Particle devices, including improvements to the webhook implementation. Further contributions involved removing deprecated components like the AMS proxy and refactoring and documenting the code.
iotmicrosoft-azure
toolboc/Intelligent-Video-Analytics-with-NVIDIA-Jetson-and-Microsoft-Azure
Jun 2020 - Oct 2022
A repository demonstrating an end-to-end architecture for Intelligent Video Analytics using NVIDIA hardware with Microsoft Azure
Contributions:48 commits, 12 PRs, 58 pushes in 2 years 4 months
hardwaremicrosoft-azurenvidia
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