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  • Montreal

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Achievement: Pull Sharkx3Achievement: Pair ExtraordinaireAchievement: YOLOAchievement: Quickdraw

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Achievement: Pull Sharkx3Achievement: Pair ExtraordinaireAchievement: YOLOAchievement: Quickdraw

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OthmaneZ05/README.md

Hey, I'm Othmane 👋

Full-stack developer · Montréal

Now: founding developer at L'Original — two live art platforms, loriginal.org and artur.art, on one Next.js / TypeScript / Prisma codebase.

Also: co-building Torollo — an open-source, local-first visual playground for learning system design and networking, where every node on the canvas is a real Docker container on your machine.

Learning: stochastic processes & Monte Carlo methods, and AI/ML engineering.

Languages: Français · English · العربية

Reach me: zahhafothmane2005@gmail.com

Tech I ship with

TypeScript, Next.js, React, Node.js, Express, Prisma, Python, Flask, Java, Spring, PostgreSQL, Firebase, Docker, Git, GitHub Actions, Vercel, Linux

Featured work

Torollo

Co-building this backend systems lab: drag-and-drop VPCs, load balancers, and databases — all backed by real local Docker containers and iptables.

brownian-motion-simulator

First step on my quant path: simulating stochastic processes in NumPy — Monte Carlo methods and option pricing are next.

loriginal.org · artur.art

Two production art platforms running from a single multi-domain codebase. I designed the data models and backend service layer, built the Stripe checkout and AI artwork-generation pipeline, and maintain the whole thing in production — reviews, releases, incidents. Private repo — but you can click around the real thing.

Stats

Othmane's GitHub stats Most used languages

Day job: taming production randomness. Side quest: simulating it.

Pinned Loading

  1. Derssa/Torollo Derssa/Torollo Public

    Torollo is an open-source interactive visual playground designed to learn system design and networking, all locally.

    TypeScript 346 34

  2. brownian-motion-simulator brownian-motion-simulator Public

    Stochastic path simulation (standard + drift) in NumPy — sample paths and terminal-value distributions, reproducible seeds.

    Python