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Maxime L.ML

Maxime L.

Software Engineer | DevOps | Kubernetes | MLOps

€600/day
Paris, FR
3-7 years

Average response time: 1 hour

About Maxime

My work sits at the intersection of software engineering, MLOps, and scalable infrastructure.

I started out as a freelance fullstack developer, helping startups turn their first ideas into working products. Since then, I’ve specialized in machine learning engineering and MLOps, deploying models, designing robust pipelines, and optimizing performance from training to production.

At my last role in an AI startup, I’ve worked on everything from GPU-accelerated model deployment and autoscaling infrastructure to internal tools that streamline research workflows. I enjoy bridging software engineering and machine learning, making sure complex ideas can actually run efficiently at scale.

I care about clean architecture, automation, and performance. On the side, I experiment with electronics and microcontrollers, and I run my own Kubernetes cluster at home just to keep exploring new ideas.

I like solving hard problems and building systems that can grow.
  • English

    Fluent

  • French

    Native or bilingual

Can work on-site
Paris (up to 15km), Grenoble (up to 50km), Clermont-Ferrand (up to 50km), Angers (up to 50km), Lyon (up to 50km)

Experience

  • Nabla
    Machine Learning engineer
    MEDICAL
    January 2020 - May 2024 (4 years and 4 months)
    Paris, France
    I've been working as a Machine Learning engineer, MLOps, DevOps, Full Stack developer with a team of about 30 engineers. LLM training and experiments, all in-house.
    Some examples of my proudest contributions:
    • Running very early experiements with French LLMs https://www.nabla.com/blog/can-large-fine-tuned-language-models-imitate-doctors
    • Automating and managing our ML infrastructure. Making a development playground for our ML team with easy access to GPUs and datasets using terrform and slurm on GCP
    • Configuring our prod auto-scaling GPU inference infrastructure in kubernetes.
    • Optimizing our large postgres queries and indexing strategy
    I also spent a lot of time working as a full-stack dev, postgres/kotlin/react/chrome extension

    Pytorch Kubernetes Terraform Slurm Typescript
  • Slash
    Team R&D - Blockchain / decentralised app
    TECH
    September 2018 - May 2019 (8 months)
    Phnom Penh, Cambodia
    Création d'une monnaie locale et complémentaire non-spéculative et fondante dans l'espoir de redresser l'économie de certaines régions dont le développement est gelé.

    Nous implementons un reseau p2p décentralisé pour sécuriser les échanges. Nous utilisons un proof of authority au dessus d'un PBFT le tout from scrach. Un site web en react est aussi développé en parallèle.
    Crypto Websocket Blockchain React.js Node C++
  • IDongg
    CTO - fullstack développeur
    BANKING AND INSURANCE
    July 2016 - December 2016 (6 months)
    Paris, France
    IDongg c’est LA solution pour créer des communautés solidaires d’épargnants et d’emprunteurs. En offrant la possibilité aux individus d’échanger entre eux de l’argent contre des promesses, et ce gratuitement, nous mettons en place un système de financement équilibré capable de générer de la confiance.

    A partir de l'idée d'un entrepreneur, le but de la mission était de réaliser un MVP, tout était à faire.
    Front-end:
    ➤ Design du site
    ➤ Organisation des pages et de la navigation
    ➤ UI / UX
    Back-end:
    ➤ Architecture de l'application
    ➤ Structure et stockage des données
    ➤ Choix des technologies
    ➤ System de paiement
    Node.js MongoDB Amazon Web Services Docker Bootstrap 3 HTML5 CSS3 JavaScript

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Education

  • Diplôme d’ingénieur informatique spe ML
    EPITA (Ecole pour l'informatique et les Techniques Avancés)
    2020
  • Exchange Semester
    Chulalongkorn University, Bangkok
    2017
    Engineering

Skill set

Categories