Quentin Labernia
Verified Expert in Engineering
Statistics Developer
Quentin graduated from two top universities in France and Japan. He specialized in artificial intelligence, machine learning (ML), and data science. To him, a deep understanding of your field of application and business processes is the key to success. Quentin possesses a strong sense of commitment. The core value he wants to bring to projects is confidence, the conviction that you can achieve even more with your services, products, and business.
Portfolio
Experience
Availability
Preferred Environment
Linux, Windows, Amazon Web Services (AWS), Azure, Python, Go
The most amazing...
...software I’ve developed was for a medical device that helps doctors find brain aneurysms.
Work Experience
Senior AI Researcher, Team Manager, and System Administrator
Corpy&Co
- Developed cloud software as a medical device and managed the project from scratch. Based on a state-of-the-art machine learning model, the software can assist radiologists in diagnosing brain aneurysms, even the smallest ones.
- Participated in elaborating Japanese national guidelines to define good practices for AI usage. These were adopted as part of a framework managed by the Japanese Advanced Institute of Science and Technology.
- Designed and installed a complete data infrastructure used by all employees for R&D and production deployment, including networking, servers, data clusters, continuous integration, and a testing platform.
- Built a fluid simulation pipeline that can extract blood vessels from MRI scans, create the mesh, and run computational fluid dynamics simulations to obtain stress, velocity, and pressure inside the vessels.
Research and Teaching Assistant
Tohoku University
- Developed a computer vision system for robots to find survivors during earthquake recovery operations.
- Published a paper at a top conference workshop on large-scale taxonomy problems using machine learning (ML) and data science algorithms. Used by eCommerce websites to retrieve information in large tree structures.
- Taught discrete mathematics and algorithms to undergraduates.
Experience
Explanable AI Software as a Service
https://confide.techBehavioral Data Analysis Algorithm
https://hal.archives-ouvertes.fr/hal-01551395/documentImage Augmentation for Automobile Part Manufacturing Company
AI Cloud Software as Medical Device
I was the project manager and team leader, participating in all phases of research and development of the software and making sure regulatory constraints were properly considered. I managed to upgrade the process inside the company to comply with ISO international standards and good practices.
Skills
Languages
Python, Go, C++
Libraries/APIs
Node.js, PyTorch, TensorFlow
Paradigms
Data Science, Microservices Architecture, Agile
Platforms
Linux, Windows, Azure, Arduino
Other
Applied Mathematics, Computer Vision, Artificial Intelligence (AI), Machine Learning, Statistics, Data Mining, Deep Learning, Datasets, Fine-tuning, Data Inference, Generative Adversarial Networks (GANs), Back-end, Object Detection, Object Tracking, Machine Learning Operations (MLOps), Medical Imaging, Web Development, Cloud, Data Management, Physics Simulations, Simulations, Text Generation, DeepSpeed
Education
Master's Degree in Information Technology
Tohoku University - Sendai, Japan
Master's Degree in Computer Science
Institut National des Sciences Appliquées de Lyon - Lyon, France
Certifications
Data Management for Clinical Research
Coursera
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