Ryan Peden
AI Software Engineer at Bearcat Labs
Toronto, Ontario, Canada
Summary
🤩
Rockstar🎓
Top SchoolRyan Peden is an AI Software Engineer in Toronto with over a decade of hands-on experience building practical, scalable automation that bridges modern AI and legacy .NET systems. He designs custom AI agents and multi-agent orchestration that integrate with Azure, AWS, and common SaaS platforms to streamline workflows and unlock efficiencies previously hampered by brittle integrations. Comfortable across the full stack—C#, .NET, Go, Python, and TypeScript with React—he pairs cloud architecture and data engineering skills to deliver production-ready solutions. His open-source contributions include improving Prefect’s notification system, where he expanded Teams support and consolidated multi-channel alerts via Apprise, showing a focus on extensibility and maintainability in workflow tooling. Beyond engineering, Ryan writes technical content and strategy, keeping a pulse on developer communities to shape work that’s both useful and engaging. He’s a pragmatic problem-solver who enjoys connecting disparate systems to create unexpectedly powerful automation.
11 years of coding experience
12 years of employment as a software developer
Algonquin CollegeHighviewHonours Bachelor of Business Administration, Honours Bachelor of Business Administration at Laurentian University/Université LaurentienneAdvanced Diploma, Business Administration, Advanced Diploma, Business Administration at Georgian College
Stackoverflow
11reputation
127reached
1answer
0questions
Github Skills (14)
workflow-engine10
orchestration10
orchestra10
notification10
prefect10
back-end-development10
python10
testing9
automation9
automations9
html6
ajax6
xml6
javascript6
Programming languages (8)
Github contributions (5)
PrefectHQ/prefect
Aug 2022 - Jan 2023
Prefect is a workflow orchestration framework for building resilient data pipelines in Python.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:1 release, 31 reviews, 58 commits in 5 months
Contributions summary:Ryan primarily focused on enhancing the notification system within the Prefect workflow orchestration framework. Their contributions include implementing new notification blocks for Microsoft Teams and integrating the Apprise library to consolidate and simplify notification delivery across various platforms. The user refactored existing Slack and Teams webhooks to use Apprise and updated the testing suite to accommodate the new notification architecture. The commits demonstrate a focus on improving the extensibility and maintainability of the notification system.
pythondataobservabilityml-opsdataflow
rpeden/prefect-datadog
Nov 2022 - Dec 2022
Contributions:16 commits, 13 pushes, 1 branch in 22 days
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