Stan Girard is a Paris-based software engineer and founder with nine years of experience building full-stack, cloud-native systems and developer tools. He co-founded Quivr (YC W24) and now leads product-driven experiments at The Vibe Company, blending startup grit with enterprise SRE and DevOps know-how. His background spans blockchain innovation at Natixis, SRE leadership at Theodo Cloud, and hands-on engineering across AWS, Kubernetes, Prometheus, Terraform and observability stacks. Stan contributes open-source tooling—authoring an SEO & security audit toolkit that combines Flask, BeautifulSoup and networkx to extract link graphs and site metadata—and has improved monitoring pipelines for popular projects like InstaPy via InfluxDB integrations. He’s especially focused on optimization, whether in code performance or commercial impact, and enjoys turning complex infrastructure needs into usable developer-facing products. Colleague-ready and product-minded, he pairs rigorous engineering with a knack for shipping polished front-end experiences on top of robust back ends.
9 years of coding experience
6 years of employment as a software developer
Baccalauréat, Baccalauréat en lycée d''enseignement général, Baccalauréat, Baccalauréat en lycée d''enseignement général at Lycée Jeanne d'Albret
Classe préparatoire aux grandes écoles, PCSI-PSI, Classe préparatoire aux grandes écoles, PCSI-PSI at Buffon High School, Paris, France
SEO & Security Audit for Websites. Lighthouse & Security Headers crawler, Sitemap/Keywords/Images Extractor, Summarizer, etc ...
Role in this project:
Back-end & Front-end Developer
Contributions:8 releases, 347 commits, 16 PRs in 10 months
Contributions summary:Stan developed a full-stack web application for SEO auditing, including functionality for internal link graph generation. They implemented core functionalities using Python, the Flask framework, and libraries like BeautifulSoup and networkx. The user also focused on building the front-end interface to present the graph and data, including adding the capability to extract key information. They show skills to extract all the links and the status.
📷 Instagram Bot - Tool for automated Instagram interactions
Role in this project:
Back-end Developer
Contributions:7 commits, 5 PRs, 6 comments in 2 days
Contributions summary:Stan contributed to the project by implementing an InfluxDB logging mechanism, adding functionality to track and record events within the Instagram bot. They modified the settings file to include InfluxDB configuration parameters. The user also added InfluxDB logging calls to the like, follow, comment, and unfollow functionalities. Additionally, the user fixed a typo in the code.
scriptpythonbotautomationclarifai
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