Quentin Verlhac

Software Engineer at Meta

London, England, United Kingdom
email-iconphone-icongithub-logolinkedin-logotwitter-logostackoverflow-logofacebook-logo
Join Prog.AI to see contacts
email-iconphone-icongithub-logolinkedin-logotwitter-logostackoverflow-logofacebook-logo
Join Prog.AI to see contacts

Summary

👤
Senior
🎓
Top School
Quentin Verlhac is a software engineer with eight years' experience building cloud-native platforms and web applications across gaming, observability, and sustainability domains. Currently at Meta in London, he has held senior engineering and platform leadership roles at Improbable and helped deliver automated carbon-emissions tooling at Pledge using Typescript, React, Node.js and AWS. He has hands-on production experience with Go, Kubernetes, Terraform, Prometheus, GCP and scalable data pipelines from earlier work at Datadog. Comfortable spanning front-end to infra, Quentin pairs product-focused engineering with operational ownership and squad-level technical leadership. Trained at CentraleSupélec and fluent in both startup and large-company contexts, he brings a pragmatic, systems-minded approach to ship reliable services.
code8 years of coding experience
job6 years of employment as a software developer
bookMaster of Engineering - MEng Computer Engineering, Master of Engineering - MEng Computer Engineering at CentraleSupélec
bookCPGE - MPSI/PSI* Mathematics Physics Engineering Science Computer Science, CPGE - MPSI/PSI* Mathematics Physics Engineering Science Computer Science at Lycée Louis-le-Grand
bookBaccalauréat Sciences, Baccalauréat Sciences at Lycée Jehan Ango, Dieppe
languagesSpanish, French, English
github-logo-circle

Github Skills (12)

music8
validate7
epic7
ajv7
typescript6
json-schema6
ethereum6
blockchain6
compile5
json5
type-declarations4
java2

Programming languages (5)

C#TypeScriptC++CPython

Github contributions (5)

github-logo-circle
GravityJump/GravityJump

Sep 2019 - Apr 2020

Contributions:184 commits, 4 pushes, 2 branches in 7 months
quentinverlhac/pianocktail

Feb 2020 - Mar 2020

Using Deep Learning for emotion analysis in songs
Contributions:32 PRs, 61 pushes, 34 branches in 13 days
emotiondeep-learningsongsmachine-learningemotion-analysis
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.
Request Free Trial