Help & Supportcareers@gravityer.com
Building @CodSpeedHQ 🐇 Passionate about Open Source 👐 DX ⌨️ Serverless ☁️ TypeScript ✒️
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
CodSpeedHQ
Data Scientist
June 22, 2026 – Present
cdk-bundle-analyzer
January 29, 2023 – August 29, 2024
A library that delivers tools to analyze the bundle size of TypeScript/JavaScript CDK functions.
View Projectserverless-custom-iam-roles-per-function
December 3, 2021 – December 3, 2021
A Serverless plugin to make sure function iam role names are always valid.
View Projectswarmion
November 22, 2021 – Present
A set of tools to build and deploy type-safe Serverless microservices
View Projectserverless-analyze-bundle-plugin
October 29, 2021 – February 11, 2025
A serverless plugin to visualize and analyze the bundle of a lambda bundled with serverless-esbuild.
View Projecttemplate
September 24, 2021 – February 7, 2023
An opinionated Serverless monorepo microservices architecture
View Projectfastapi-odmantic-realworld-example
October 17, 2020 – January 28, 2024
FastAPI + ODMantic example
View Projectvscode-flask-debug
May 7, 2020 – May 1, 2023
Flask application with debugging in VS Code and hot-reload 🔥
View Projectodmantic
May 1, 2020 – Present
Sync and Async ODM (Object Document Mapper) for MongoDB based on python type hints
View ProjectEntraide_Telecom
May 5, 2016 – July 14, 2017
Git pour centraliser les fiches de cours et éventuellement scénarios de vidéos pour l'entraide gérée par le BDE de Télécom ParisTech
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards open-source contributions and personal development, which can be a positive indicator for a culture that values initiative and continuous learning. However, the projects are heavily focused on software development and tooling rather than core data science methodologies (e.g., machine learning, statistical modeling, data analysis pipelines), which might indicate a potential mismatch for a pure Data Scientist role. The target role is 'Data Scientist', but the projects lean more towards software engineering, particularly in the serverless and backend domains. This suggests a potential misalignment with the specific technical demands of a typical Data Scientist role, which often requires strong statistical, machine learning, and data manipulation skills.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback are available.