Nicolas Benoit

Backend & systems engineer · France

Nicolas Benoit

I build low-level backend services and operate the hardware they run on, from industrial control systems to embedded computer vision.

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  • Go
  • Rust
  • Python
  • TypeScript
  • C#/.NET
  • PostgreSQL
  • Docker
  • Proxmox
  • Linux

experience

  1. 2023.03 → present

    Infofil · Software developer, Back-end & Systems

    The work runs from web back-ends to real-time systems, and some of it ships to air-gapped networks that never touch the internet. The projects below have the detail.

    • Python
    • Go
    • FastAPI
    • NestJS
    • Next.js
    • PostgreSQL
    • WebRTC
    • OPC UA
    • Docker

projects

  1. Real-time video platform

    Low-latency, multi-client video streaming with live sensor data, deployed on air-gapped infrastructure.

    context

    At Infofil. NestJS. Designed and deployed to production.

    challenge

    Low-latency WebRTC broadcast of five camera feeds through a mediasoup SFU, sensor acquisition from an OPC UA server via a dedicated microservice, FFmpeg recording and a configurable live dashboard.

    decisions

    • A mediasoup SFU for multi-client fan-out, with a dedicated microservice bridging the OPC UA sensor source.
    • NestJS
    • TypeScript
    • WebRTC
    • mediasoup
    • OPC UA
    • FFmpeg

  2. IT support dashboard

    Internal ticketing and support tool used daily by the support team, replacing scattered tracking with a single system.

    context

    At Infofil. Go and Python/FastAPI back-end, Next.js front, used daily by the seven-person support team.

    challenge

    Full-text search over hundreds of archived documents, SLA tracking and task/project management, on PostgreSQL with Synology NAS integration over SFTP.

    decisions

    • Full-text search built on Bleve (Go) rather than standing up a separate search service.
    • Go
    • Python
    • FastAPI
    • Next.js
    • PostgreSQL
    • Bleve

  3. N1 support chatbot

    A first-line support chatbot backed by a local ML pipeline and a self-hosted LLM.

    context

    At Infofil. End-to-end pipeline, integrated into a Next.js corporate site.

    challenge

    Zero-shot intent classification without labelled data: generated a ~1,600-example synthetic dataset, fine-tuned a GLiClass model, added a pre-inference filter and served a local LLM (LM Studio) behind a FastAPI API.

    decisions

    • Served a local LLM (LM Studio) behind FastAPI rather than calling a hosted API.
    • Python
    • FastAPI
    • GLiClass
    • Transformers
    • LM Studio

  4. Time & mileage app

    Internal mobile app for employees to log hours and mileage, backed by a Go service over a legacy database.

    context

    At Infofil. React Native / Expo front, Go back-end.

    challenge

    Connecting a modern Go back-end to a proprietary HFSQL database over ODBC, with JWT auth, automatic trip geolocation and off-store APK distribution.

    • Go
    • React Native
    • Expo
    • ODBC
    • JWT

about

I work close to the machine: backend services, industrial control systems, and the infrastructure they depend on. I run my own hardware on a Proxmox and LXC homelab, which is where most of what I know about Linux and operations comes from.

Away from the keyboard I do amateur astronomy with an electronic telescope, train in powerlifting, and build small electronics projects. The telescope is the reason computer vision on constrained devices interests me: it is where the software and the hardware have to agree.

contact

Open to backend and systems roles in France and internationally. The fastest way to reach me is email.