Freelancer profile translated to English.
Back to original languageAbout Maxime
Software developer for scientific and biomedical projects
I support R&D teams, biotech/medtech startups, and laboratories on software projects where understanding the business domain is as important as the technical skills: instrumentation, imaging, data analysis, internal research tools.
As an R&D software engineer in biotech for 3 years, I work on a multi-channel fluorescence scanner (hardware control, multi-resolution image acquisition and visualization, service backend) and internal validation/metrology tools for production output measurements.
I have learned to deliver reliable software in environments with complex business domains, strong technical constraints (real-time, large image volumes, hardware integration), and where readability for scientific users is crucial.
What I can bring
- Development of software components for scientific or biomedical projects (desktop, backend, tooling)
- Architecture for hardware control, acquisition, or image processing applications
- Prototypes and technical proof-of-concepts
- Internal R&D tools (automation, analysis, visualization, metrology)
- Support in C++/Qt, Python, or lightweight full-stack (Java/Spring Boot, REST, Linux)
My way of working
Structured engineering approach: understand the business need, frame the architecture, deliver iteratively. I integrate modern AI assistance tools (Claude Code, Codex) into my workflow, allowing me to deliver prototypes and architected components faster.
Project formats
I work in parallel with a salaried position, so exclusively on a fixed-price basis or for specific interventions: prototypes, packaged components, targeted developments, technical consulting within a defined scope. Remote or on-site around Toulouse.
French
Native or bilingual
English
Fluent
Italian
Conversational
Spanish
Basic
Can work on-site
Toulouse (up to 50km)
Experience
- INNOPSYSR&D Software EngineerBIOTECHDecember 2022 - Today (3 years and 8 months)Toulouse, FranceDesign and development of control software for a fluorescence scanner intended for scientific acquisition of multi-channel images in an industrial context.This project involves managing real-time constraints, hardware integration, handling large image volumes, and implementing a maintainable and scalable software architecture.Main responsibilities:
- Advanced scan settings (multi-channel, PMT, dynamic focus)
- Hardware event management (autoloader, door, system states)
- Desktop application development inC++20 / Qt 5.15 / QML
- Design of the application core and workflow orchestration
- Implementation of aJava 11 / Spring Bootbackend exposing REST APIs
- Equipment discovery, control, and monitoring
- TIFF/OME multi-resolution image acquisition and restitution pipeline
- IntegrationIIPImage / Apache / FastCGI / IIIF
- Real-time visualization and multi-level navigation
- Development of graphical configuration and parameterization tools
- Automation of image analysis in Python
- Project industrialization:
* CMake / Maven* CI Bitbucket Pipelines* MXE Cross-compilation* Environment managementMain Technologies:C++ - Qt - QML - Java - Python - Apache - FastCGI - IIP - IIIF - JSON - CMake - CI/CD - REST - Image Processing - Real-Time Systems - VIMSR&D Software EngineerBIOTECHOctober 2021 - April 2022 (6 months)Toulouse, FranceR&D in C++ focusing on computer vision and machine learning in a medical context (minimally invasive surgery): development of prototypes and embedded solutions, feasibility studies, real-time sensor/video integration, and performance optimization under hardware constraints, in an environment subject to high requirements for reliability, safety, and regulatory constraints related to patient use.
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Education
- Computer EngineeringENSICAEN2021Ecole Nationale Supérieur d'Ingénieurs de Caen - Informatique Option de spécialité: Image, Son & Intelligence artificielle
- Master in Computer Engineering (double degree)University of Salerno2021Curriculum effectué en partenariat avec l'ENSICAEN, composé d'une année d'études à l'Université de Salerne puis d'un stage de fin d'études de 6 mois.