Description

I am a research-trained physicist turned Machine Learning Engineer, with strong foundations in mathematics, programming, and image science, and over five years of hands-on experience delivering computer vision and ML systems in startup environments.

My background allows me to bridge research and production: I am comfortable designing and training advanced models, but also turning them into robust, scalable solutions integrated into real products. I have worked end-to-end, from data definition and model experimentation to cloud-based training, performance tracking, and deployment through APIs or containerized services.

I enjoy working on applied AI problems where scientific rigor meets engineering constraints, and where machine learning creates measurable impact in real-world systems.

Languages

Chinese
Native or bilingual
English
Fluent
French
Conversational

Workplace preferences

Can work on-site

Palaiseau (up to 30km)

DXOMARK
Machine Learning Engineer (ComputerVision)
January 2024 - June 2025 (1 year and 5 months)
Paris, France
A consulting firmspecializing in image quality assessment.
• • Design guidelines and prepare training data for image quality annotations.
• • Design machine learning pipelines from model training to production. Keywords: data analysis, model design (RESNET, VIT, SWIN Transformers, etc.), model deployment, image signal processing, color science.
Machine learning Computer Vision Transformers FastAPI Data analysis
OCUS
Data Scientist (ComputerVision)
September 2022 - January 2024 (1 year and 4 months)
Paris, France
A middle-sizestartup that harnesses thepower of tech toproducesmart visual content and help brands and creators thrive.
• • Trained several high-accuracy classification models, e.g., watermarks, texts, and logos in one image (data preparation, guidelines definition, 3rd-party and manual annotation, and model fine-tuning).
• • Pilots owner: The product owner of experimental projects following the client's requirements. Keywords: model tuning & evaluation, algorithm design, API integration, OpenCV, Pytorch, Amazon EC2 & S3.
Computer Vision Transformers Python Machine learning AWS EC2
Flyinstinct
Senior Solution Scientist
June 2020 - September 2022 (2 years and 3 months)
Paris, France
Astartup thatprovidessolutions based on computer vision technology to industrialproducts for airport runway FOD (foreign object debris) detection.
• • Introduced an instant segmentation model (i.e., Faster-RCNN), which reduces more than 70% system false-positive errors.
• • Delivered a 3D-vision based module (i.e., Orthophoto), which yields better detection performance.
• • Invented an approach to match images with different luminosity (more efficient than the state-of-the-art, e.g.,
histogram-matching or Gamma-correction), which improves 50% of object detection rate.
• • Designed a localization algorithm based on perspective transform, leading to an increase of the detection rate from < 10% to > 90%. Keywords: proof of concept, algorithm design, computer vision, object detection & segmentation, machine & deep learning, data analysis, computer networking.
Computer Vision Data analysis Python Machine learning image processing