Marc-andré Cournoyer
Founder, President & Code Monkey at Coded Inc
Montreal, Quebec, Canada
Summary
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Rockstar🎓
Top SchoolMarc-andré Cournoyer is a Montreal-based founder and hands-on software engineer with 18 years building web platforms, developer tools, and startups. As Founder, President & "Code Monkey" at Coded Inc and previously at Sauté Applications (acquired) he blends product leadership with deep engineering craftsmanship. His open-source contributions span the Ruby web server Thin and developer tooling like Shopify CLI, showing strength in back-end systems, HTTP parsing, and CLI UX. He has also extended neural conversational models and tokenization pipelines, reflecting an interest in machine learning beyond typical web work. Comfortable across the full stack, he is known for pragmatic refactors that improve robustness and interoperability with frameworks like Rails. Colleagues would describe him as an entrepreneurial engineer who prefers shipping reliable systems—and enjoys a good loop in code and in life.
18 years of coding experience
10 years of employment as a software developer
Bachelor, Software Engineering, Bachelor, Software Engineering at École de technologie supérieureTechnique, Computer Science, Technique, Computer Science at Collège Ahuntsic
Stackoverflow
36reputation
2kreached
1answer
0questions
Github Skills (28)
command-line-interface10
torch-hub10
http10
machine-learning10
shopify-cli10
ruby10
lua10
eventmachine10
tokenizer10
parse10
natural-language-processing10
command-line10
neural-network10
theme-development10
nlp10
Programming languages (9)
Github contributions (5)
macournoyer/neuralconvo
Oct 2015 - Jan 2017
Neural conversational model in Torch
Role in this project:
Back-end Developer
Back-end DeveloperContributions:96 commits, 10 PRs, 26 pushes in 1 year 3 months
Contributions summary:Marc-andré primarily refactored and extended a neural conversational model. Their work included renaming packages and refactoring the movie script parser to improve dialog parsing. Further contributions involved enhancing the parser's capabilities and integrating more features, such as a tokenizer, to better process the input data. These changes likely involved developing core back-end logic to enhance the model's ability to understand and generate conversational text.
pytorchnlpconversationaltorchseq2seq
macournoyer/thin
Dec 2007 - May 2021
A very fast & simple Ruby web server
Role in this project:Back-end Developer
Back-end DeveloperContributions:2 releases, 655 commits, 33 PRs in 13 years 7 months
Contributions summary:Marc-andré primarily focused on the core aspects of the "thin" web server, working on the parsing and handling of HTTP requests. Their contributions included debugging and fixing issues within the parser, implementing features to support various URL formats including handling the parsing of URLs with IE7-style characters and the addition of HTTP features like SSL support. The user was also actively involved in adapting the Rails adapter for optimal compatibility with different Rails versions and ensuring support for the use of Rack configuration files.
rubywebserverthinweb-serverserver
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