Stephane Le Dorze
CTO - Innovative Product
Paris, Ile-de-France
Summary
🤩
Rockstar🎓
Top SchoolStephane Le Dorze is a seasoned technology leader and hands-on CTO with 30 years building digital products across startups, scale-ups and AAA video game studios. He blends deep technical craftsmanship (FP, DDD, TDD) and pragmatic architecture with talent for recruiting and growing engineering teams, having led transformations at Cafeyn, Libertrip and multiple consultancies. A founder and independent consultant, he repeatedly aligns product and engineering to accelerate time-to-market and reduce delivery friction while keeping teams motivated. He contributes to open-source performance work—optimizing io-ts for runtime TypeScript decoding—demonstrating a focus on efficiency and maintainability. Based in Paris, he now advises teams on applying AI to coding workflows and scales practices across bounded contexts. He values people-first leadership, technical humility, and making impactful products that are fun to build.
15 years of coding experience
22 years of employment as a software developer
Computer and Information Sciences General, Computer and Information Sciences General at IUT Lannion
English, French
Github Skills (13)
type-system10
typescript10
typesc10
typescripts10
inference10
validation10
validations10
typescript-types10
performance-optimization9
javascript9
functional-programming9
data-structures8
data-structure8
Programming languages (16)
Github contributions (5)
gcanti/io-ts
Dec 2017 - Nov 2018
Runtime type system for IO decoding/encoding
Role in this project:
Back-end Developer
Back-end DeveloperContributions:8 commits, 4 PRs, 16 pushes in 11 months
Contributions summary:Stephane primarily focused on optimizing the `io-ts` library, which is a runtime type system for TypeScript. Their contributions included refactoring code to reduce data structure creation and array manipulations, improving performance. They also addressed issues related to type signatures and the `pipe` method, enhancing the library's functionality. The user's commits showcase an effort to refine the codebase for efficiency and maintainability.
decodingvalidationruntimeinferenceencoding
sledorze/morphic-ts
Oct 2019 - Oct 2021
Contributions:1 review, 562 commits, 188 PRs in 2 years
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