Romain Jobert
Backend·Data·Infra

Hi, I'm Romain Jobert

I build reliable backends & data platforms

French software engineer (ex-finance & ex-founder). I help fintech and data-driven teams ship clean APIs, reliable pipelines, and a data platform that moves metrics.

Quick facts
  • Focus: Backend · Data · Infra
  • Sectors: Fintech · Blockchain
  • Availability: Backend / Data Engineer / Platform roles
  • Based: Paris · FR/EN/ES

What I do

  • Design & implement APIs (Python/Django/FastAPI, Node/TS).
  • Build data pipelines & analytics layers (Airflow, dbt, BigQuery/Snowfalke/Postgres).
  • Pragmatic DevOps: Docker, CI/CD; K8s when needed.
  • Improve performance, reliability, security via profiling, caching, clean architecture.

Core stack

  • Backend : Python, Django/DRF, FastAPI, TypeScript/Node, Express
  • Data: Airflow, dbt, BigQuery, PostgreSQL, Snowflake, Redis
  • DevOps: Docker, K8s (learning), CI/CD
  • Frontend: React, Next.js
  • Cloud: GCP(preferred)
    • Selected experience
    • Freelance Data/Backend Engineer — built pipelines & APIs in Python (Django/DRF/FastAPI); delivered hands-on Airflow/dbt labs for Toyota, Ankorstore, BeneBono, Accor, and public institutions.
    • Founding team @ Petch — pet-care platform 35k+ users, 250 merchants; led GCP data platform (Airbyte · Airflow · BigQuery), A/B testing, forecasting, ads bidding engine.
    • Trading & Risk — Glencore — managed trading exposure; valuation, P&L tools; predictive analytics on shipping/arbitrage; automated risk workflows.
    • Exotic Derivative Trading — Commerzbank — engineering, pricing and valuation of option derivatives. Day-to-day market-making and hedge rebalancing.

    I bridge product, data, and engineering—useful in lean teams that need velocity without breaking reliability.

    Education

    École 42 — Computer Science

    Systems, C/C++, OS, networks, algorithms.

    • Low-level C (Libft, ft_printf, Minishell)
    • C++ OOP, OS/network concepts
    • Web development (JS, Python, Django)
    • Specialization in Computer systems

    EDHEC — MSc Quantitative Finance

    Derivatives, risk, time-series, numerical methods, Python for finance.

    • Stochastic calculus; pricing & risk models
    • Portfolio theory, econometrics
    • Python/Matlab for analytics & backtesting

    Classe préparatoire — ECS

    Intensive Mathematics & Economics curriculum (CPGE).

    • Analysis, advanced calculus, algebra, probability
    • Economic theory, Geopolitics

    Projects

    Transcendence[Django, WebSockets, Blockchain, Docker]

    GitHub

    Multiplayer online Pong game with real-time play, secure auth, and tournament scores recorded on the Ethereum blockchain.

    • Real-time backend with Django, DRF, and WebSockets in a microservices setup (Docker Compose)
    • JWT + OAuth2 auth, user stats, match history, live chat
    • AI opponents and a Sepolia smart contract to store tournament scores
    • Vanilla JS frontend (AJAX, IntersectionObserver) with CSRF/XSS hardening and WSS

    Webserv[C++, HTTP Server]

    GitHub

    NGINX-like HTTP/1.1 server in C++.

    • Non-blocking I/O with poll() to handle many clients on one thread
    • Parsed requests; GET/POST/DELETE; static serving
    • Uploads, custom error pages, CGI, directory listing, NGINX-like config
    • Chunked transfer decoding; hardened under stress tests

    Camagru[Full-stack JavaScript, Express.js]

    GitHub

    Full-stack photo sharing app with secure auth, webcam capture, and AJAX interactions.

    • Node.js (Express), PostgreSQL, vanilla JS; containerized with Docker Compose
    • Webcam capture, drag-and-drop stickers; server-side image rendering via Sharp
    • Custom JWT auth, email verification, CSRF/XSS protection
    • Infinite-scroll gallery; AJAX like/comment system

    DSLR — Linear Regression CLI

    GitHub

    Train and predict using linear regression from scratch (no external ML libs).

    • Gradient descent, loss functions, feature scaling, model persistence (pure Python)
    • CLI for training/prediction on CSV (argparse, robust file I/O)
    • Metrics (R², MSE) and Matplotlib visualizations