Samuel Path is a Senior Software Engineer based in Paris with nine years of experience building high-impact, full-stack systems for enterprises and startups alike. He specializes in pragmatic engineering—choosing tools to solve real problems rather than for their novelty—and has shipped mission-critical features at scale, from payment systems handling billions in transactions to a Cloudflare Worker proxy routing ~10M LLM requests per day at Shopify. Comfortable across languages and stacks (Postgres, ElasticSearch, Java, Python, Ruby on Rails, TypeScript, React/Angular), he pairs hands-on development with systems thinking, quality-first practices, and a history of rescuing complex projects. An early adopter and evangelist of LLM tooling, he contributes to open-source projects like Eleventy and blends AI experimentation with production-grade reliability. Notably, his work often focuses on reducing toil and improving user/business metrics—whether boosting self-service adoption from 10% to 40% or adding millions in GPV through internal initiatives.
9 years of coding experience
10 years of employment as a software developer
Master of Science (M.Sc.) Computer Science, Master of Science (M.Sc.) Computer Science at INSA Lyon - Institut National des Sciences Appliquées de Lyon
A simpler site generator. Transforms a directory of templates (of varying types) into HTML.
Role in this project:
Full-stack Developer
Contributions:9 commits, 14 PRs, 35 comments in 11 days
Contributions summary:Samuel made several contributions to the Eleventy project, demonstrating a focus on refining existing code and improving consistency. The user corrected a conjugation error in a comment, refactored conditional logic to prevent empty statements, and updated the Ejs engine. They also implemented getter/setters and added a caching test, indicating an understanding of performance optimization and object-oriented principles.
Contributions:3 reviews, 59 commits, 3 PRs in 21 days
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