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Guillaume GobinGG

Guillaume Gobin

Software Engineer

€600/day
Lyon, FR
3-7 years
Python
C++
Data science
Fullstack
Rust

Average response time: 1 hour

Freelancer profile translated to English.
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About Guillaume

I design and develop products from scratch to production, with a dual skill set in software development and data science. I am involved in architecture, development, integration, and delivery, including AI integration.

What I can do

  • Android (Kotlin / Compose) and iOS (Swift / SwiftUI) applications
  • C, C++, or Rust libraries
  • Python applications and libraries
  • Data Science: data preparation and analysis, model training, evaluation, industrialization
  • On-device embedded AI (local model execution)

Added value

  • Medical / Regulatory Experience: Development with traceability requirements, documentation, risk management, and cybersecurity
  • Cross-platform: Design of reusable components and integration across multiple environments.
  • Embedded AI: On-device model integration, resource constraints, reliability, and validation of real-world behavior
  • Cross-functional Profile: Industrial computing, robotics, computer vision, software engineering, data science

Types of missions

  • End-to-end product or module creation: mobile application, Rust or C++ library, AI model
  • Team reinforcement for a milestone: delivery, stabilization, bug fixes, integration
  • Setting up a data science / AI pipeline: data, training, evaluation, deployment,

  • French

    Native or bilingual

  • English

    Fluent

Can work on-site
Lyon (up to 50km)

Experience

  • DIAGNOLY
    Software Engineer
    MEDICAL
    January 2024 - June 2025 (1 year and 5 months)
    Lyon, France
    • Development, maintenance, and documentation of a medical application for fetal heart disease screening. Application developed in Kotlin (Jetpack Compose) and C++, with integration of an on-device inference engine (TensorFlow Lite).

    • Optimization of inference performance, leveraging TensorFlow delegates: achieving 15 to 60 FPS on targeted Android tablets.

    • iOS porting of the application: adaptation of the C++ core with CMake and addition of Obj-C++ implementations where necessary, adaptation of the application logic from Kotlin to Kotlin Multiplatform, and development of the Kotlin/Swift binding, along with full management of the App Store submission process.

    • Writing technical regulatory documentation for CE and FDA marking, particularly on software architecture, cybersecurity analysis, SOUP management, vulnerability reports, and automated tests (JUnit, Doctest).

    • Participation in the TÜV certification audit as the technical lead for the certified product.

    • Deployment of the application on the Google Play Store and Apple App Store, as part of a regulated medical device.

    • Development of a Django license management server with a REST API, and deployment on AWS using Terraform.
    C++ Fullstack Kotlin Swift CMake
  • DIAGNOLY
    Machine Learning Engineer
    MEDICAL
    June 2022 - January 2024 (1 year and 7 months)
    Lyon, France
    • Annotation of medical images (fetal echocardiograms) for training machine learning models to aid in the screening of congenital heart defects.

    • Development of computer vision tools and image processing scripts (annotation utilities, image transformations, etc.) using PyTorch, NumPy, OpenCV.

    • Creation of an internal machine learning library, covering the entire pipeline (preprocessing, training, validation, traceability, reproducibility, session management, model definition, etc.). This library, developed independently, was validated within the quality process (NPS) and used in a CE/FDA regulatory context.

    • Contribution to technical regulatory documentation, including product risk analysis (identification of risk scenarios, mitigation measures).

    • User support (early adopters): assistance with installation, management of field feedback, and integration of feedback into product evolution.

    • Development of a prototype medical application in Python, aimed at assisting healthcare professionals in prenatal diagnosis, presented in a clinical setting.
    Python Data science Numpy OpenCV Pytorch
  • LAAS-CNRS
    AI Intern
    PUBLIC SECTOR
    March 2021 - October 2021 (7 months)
    Labège, France
    Internship titled "Localization of a TALOS humanoid robot using geometric and visual information" carried out in the GEPETTO team at LAAS/CNRS in Labège, near Toulouse, as part of my 2nd year Master's degree at the University of Paul Sabatier:
    - Elaboration of a state-of-the-art review in the field of position recognition using LiDAR data
    - Elaboration of a draft paper (mathematical definition of the problem, similar works, proposed solutions)
    - Implementation of solutions (3D modeling on Blender, Python programming, data acquisition and usage)
    Python Data science Pytorch
Check out Guillaume's experience

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Education

  • Master - Computer Science / Artificial Intelligence and Pattern Recognition
    Université Paul Sabatier Toulouse III
    2021
  • Bachelor's Degree - Computer Science
    Université Paul Sabatier Toulouse III
    2019
Check out Guillaume's education

Skill set

Algorithms and Data Structures
Software Architecture

Categories