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Jaouad Ouchaib

Jaouad Ouchaib

Software Engineer (Backend / Full-Stack)

35, Rue du Colonel Moll, Paris, FR, 94400
+33 7 74 03 29 98
French, English, Arabic

Background


About

About

Software engineer focused on TypeScript/Node.js backend and real-time systems. Built cloud-native product features end-to-end (GCP/AWS) with an emphasis on performance, reliability, and clean APIs. Prior ML engineering experience (PyTorch, 3D LiDAR segmentation) and deployment integration.

Work Experience

Work Experience

  • Software EngineerMoove

    Feb, 2025 - Present

    Backend + real-time systems for private aviation operations.

    • Designed and shipped a tax calculation engine in TypeScript/Node.js with deterministic rules and robust edge-case handling

    • Implemented a low-latency real-time seat allocation system using Redis-backed coordination for concurrent updates

    • Built a performant real-time timeline enabling visualization and management of thousands of flights and crews simultaneously

  • Full Stack Engineer, Selego B.V (Internship, Freelance)

    Mar, 2024 - Jan, 202510 months

    Full-stack product development + internal developer tooling.

    • Designed an internal CLI tool to automate MVP setup (auth, DB, CI/CD) via opinionated templates, reducing time-to-prototype

    • Developed core full-stack features in SaaS fintech products, collaborating with product stakeholders

    • Set up CI/CD pipelines with automated checks (lint/test/build) to improve release reliability

  • Machine Learning Engineer, Acernis (Internship)

    Apr, 2022 - Aug, 20224 months

    ML research-to-production for 3D vision.

    • Developed a 3D LiDAR segmentation algorithm (~90% Dice) to automate CAD model generation from point clouds

    • Integrated inference into a Django pipeline and deployed on AWS Lambda using Docker for reproducible execution

Projects Experience

Projects Experience

  • Thesis Management Portal

    Feb, 2023 - Jun, 20234 months

    • Built a full-stack thesis management platform used by 500+ students and faculty members

    • Implemented core workflows and deployment automation to support ongoing usage during the academic term

  • Prostate Cancer Detection Model

    - Present

    • Built a medical image segmentation model (92% Dice) using PyTorch U-Net with an end-to-end training/evaluation pipeline

    • Validated results in collaboration with Hera-Mi Labs on clinical cases

Skills

Skills

  • Backend

    TypeScript

    Node.js

    REST APIs

    Redis

  • Frontend

    React

    Angular

  • Cloud/DevOps

    Docker

    GitHub Actions

    GCP

    AWS (EC2, S3, Lambda)

    Serverless

  • Data

    PostgreSQL

    MongoDB

  • ML/AI

    Python

    PyTorch

    3D LiDAR segmentation

    Model evaluation

    Deployment

  • Languages

    TypeScript

    Python

    Java

Education

Education

  • Computer Vision, Machine Learning, MSc, Ecole Normale Supérieure Paris-Saclay

    Sep, 2022 - Feb, 2025

  • Computer Science, Engineering Degree, Institut National des Sciences Appliquées (INSA), Rennes

    Sep, 2020 - Feb, 2025