Chris Maunder
Lead, Riva AI Labs at Riva International, Inc.
Toronto, Ontario, Canada
Summary
👤
Senior🎓
Top SchoolChris Maunder is a seasoned software leader and serial founder with 25+ years of startup experience who currently leads Riva AI Labs, delivering human-centric generative AI products that turn messy data into actionable conversations. He co-founded The Code Project and Developer Media, grew one of the largest developer communities to 10M+ members, and built high-load, high-availability systems across .NET, Python, C++ and JavaScript. Equally comfortable in architecture and execution, he spans backend caching and database design to frontend UX and deployment, and has hands-on experience enabling NVIDIA GPU usage for AI-serving projects like CodeProject.AI Server. Chris pairs practical, shoestring-era product discipline with deep technical craft, mentoring teams and producing the technical content that helps communities and customers adopt complex technology. Based in Toronto, his background in mathematical research and geomorphology gives him a methodical, data-driven approach to solving messy real-world problems.
16 years of coding experience
30 years of employment as a software developer
Australian National UniversityThe University of Melbourne
English
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (15)
api10
python10
apidoc10
backend9
front-end-development9
back-end-development9
javascript9
dotnet9
cuda9
net9
asp-net9
docker8
machine-learning8
cicd8
dockers8
Programming languages (6)
Github contributions (5)
codeproject/CodeProject.AI-Server
Dec 2021 - Jan 2023
CodeProject.AI Server is a self contained service that software developers can include in, and distribute with, their applications in order to augment their apps with the power of AI.
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:20 releases, 10 reviews, 62 commits in 1 year 1 month
Contributions summary:Chris contributed to the development of the CodeProject.AI Server, focusing on both the frontend and backend. They made improvements to the JavaScript demos and the frontend UI, including enhancements to the benchmark feature. The user also worked on backend aspects, such as improving the module settings and deployment process and providing support for Nvidia GPU usage.
pythoncodeprojectself-containeddockermachine-learning
codeproject/CodeProject.AI-ALPR
Apr 2024 - Apr 2025
An ALPR module for CodeProject.AI Server
Contributions:3 reviews, 2 PRs, 47 pushes in 11 months
alprartificial-intelligencecodeprojectcodeproject-aiocr
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