Freelancer profile translated to English.
Back to original languageAbout Maxime
Computer Vision & AI Engineer | Industrial Automation Expert
Need to transform your visual data into concrete decisions or automate your complex processes?
With a double degree in Engineering (CPE Lyon) and Business (EM Lyon), I help companies develop and deploy high-performance, production-ready artificial intelligence solutions.
What I bring you concretely:
- Computer Vision Expertise: Design of detection, segmentation, and classification algorithms (YOLO, UNet, OpenCV) adapted to complex environments (medical, industrial, biological).
- Deployment & Performance: Optimization of models (fine-tuning, data augmentation) for maximum real-time reliability.
- Hardware & Robotics: Design of end-to-end automated systems, from electronics to full-stack Python development for monitoring.
Why choose me?
My dual expertise allows me to understand your business challenges and translate them into rigorous technical solutions. Whether for biological image processing at MycoSense AI or process automation at Crelux, I deliver robust, documented, and scalable solutions.
My preferred tools:
Frameworks: PyTorch, TensorFlow, OpenCV, TensorRT.
Languages: Python (NumPy, Pandas), C++, SQL.
Environment: Docker, Git, CVAT, Edge Impulse.
Let's discuss your project to turn your technological ambitions into operational reality.
French
Native or bilingual
English
Fluent
Remote only
Primarily works remotely
Experience
- MycoSense AIComputer Vision & Machine Learning EngineerBIOTECHFebruary 2026 - Today (6 months)Lausanne, SwitzerlandIn the context of cutting-edge projects on complex biological data analysis, I designed and deployed high-performance computer vision solutions. My intervention transformed raw image streams into real-time actionable data.My key achievements:
- OpenCV Algorithm Development: Design of image processing pipelines for extracting complex morphological features from biological data.
- Accuracy Optimization: Significant improvement in classification model reliability through strategic fine-tuning and implementation of advanced data augmentation techniques.
- Real-world Robustness: Adaptation of models to ensure consistent performance, even in variable lighting conditions.
- Industrialization (MLOps): Automation and optimization of preprocessing and evaluation workflows, ensuring smooth deployment for real-time image analysis.
Technologies used: Python, OpenCV, PyTorch, Data Augmentation, Real-time Image Processing. - De ChavignyCommercial Management Web Application - Flask & PythonRETAIL (SMALL BUSINESS)January 2024 - May 2024 (4 months)Lausanne, SwitzerlandI assisted a company in digitizing its commercial management by developing a custom web application with Flask (Python).This solution centralizes inventory, order, and customer management, while integrating:
- Interactive dashboards with charts to track real-time activity (sales, stock levels, customer tracking).
- Automations (low stock alerts, invoice generation, automatic order tracking).
- A robust relational database to ensure data reliability and traceability.
Result: significant productivity gain, reduction of manual errors, and better visibility for decision-making. - CreluxIT DeveloperBIOTECHJuly 2023 - December 2023 (5 months)Munich, GermanyEmbedded development & prototyping:Development of a complete prototype to automate the monitoring of compressed air filtration.Hardware design with VL53L1X sensors (telemetry), signal management via UART and I²C.Integration of the 433 MHz protocol for remote control and supervision.Programming on Arduino and ESP32 to ensure reliability and communication between the different modules.Supervision web application:Creation of a Python web application with Flask, allowing users to configure and monitor a filtration process through an intuitive interface.Integration of databases (SQLite/PostgreSQL) and implementation of REST APIs for communication with embedded systems.Reporting automation:Development of a multi-threaded Python software to automatically generate dynamic PowerPoint reports.Performance optimization to simultaneously process large volumes of data and produce ready-to-use presentations.
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Education
- Digital Engineering specialized in service roboticsCPE Lyon2025