Léo Morillon
Verified Expert in Engineering
Computer Vision Developer
Paris, France
Toptal member since October 7, 2021
Léo is an experienced engineering manager with machine learning, computer vision, data science, and software development expertise. He's working with Python, C++, PyTorch, TensorFlow, OpenCV, Pandas, Docker, SQL, and MongoDB. Léo also scaled a team to 20 people as part of a high-growth tech startup; therefore, he can provide technical recruitment and team management services.
Portfolio
Experience
- Python 3 - 5 years
- Computer Vision - 5 years
- Machine Learning - 5 years
- OpenCV - 4 years
- Amazon Web Services (AWS) - 3 years
- C++ - 3 years
- PyTorch - 3 years
- Docker - 2 years
Preferred Environment
MacOS, Python 3, Linux
The most amazing...
...milestone I've achieved is scaling an AI team to 20 engineers at a high-growth startup while tackling research projects in machine learning and computer vision.
Work Experience
Freelancer
Freelancing
- Built a multi-sensor device for vital signs monitoring with real-time processing constraints while working on computer vision machine learning for preventive healthcare at home.
- Contributed to user testing automation using reinforcement learning.
- Acted as the interim CTO for a startup developing a visual inspection tool for the pharmaceutical industry.
Engineering Manager
Meero
- Built an end-to-end automatic photograph enhancement platform and structured a data aggregation and processing pipeline to feed our machine learning algorithms.
- Hired a team of 20 engineers and PhDs, counting nine nationalities and a 1:1 gender ratio.
- Collaborated with operational teams to build internal tools and established partnerships with both academic and industry key players.
- Contributed to several state-of-the-art problems in computer vision and machine learning, mostly about image enhancement and semantic understanding.
Computer Vision Engineer
Digeiz
- Researched and developed real-time computer vision methods for real-time in-store analytics.
- Developed a camera calibration library, aiming for beyond state-of-the-art results.
- Developed tools to automate software deployment on embedded Linux machines like desktop and NVIDIA Jetson Nano.
Computer Vision Research Engineer
Orah
- Worked on a C++ library to stereo-calibrate wide-angle circular fisheye cameras.
- Researched the extension of rectilinear epipolar geometry to stereographic (spherical) projection.
- Contributed to the internal library codebase, as part of the online calibration tools.
Experience
Stereo-calibration and Epipolar Geometry of Fisheye Cameras
https://github.com/Leo-Mrl/fisheye_stereocalibrationThis project was part of my research work at Orah.
End-to-end Photograph Enhancement System
• Built with Python 3 and PostgreSQL, using TensorFlow, PyTorch, OpenCV, and Pandas.
• Microservice architecture wrapped in a RESTful API for internal use.
• State-of-the-art deep learning models for several tasks of the pipeline.
Education
Master's Degree in Applied Mathematics
Ecole Normale Supérieure - Paris, France
Certifications
Competitive Programming Summer School
ITMO University
Skills
Libraries/APIs
OpenCV, PyTorch, TensorFlow, Pandas
Tools
TensorBoard
Languages
Python 3, Python, C++, SQL
Platforms
MacOS, Linux, Amazon Web Services (AWS), Docker
Other
Machine Learning, Computer Vision, Image Processing, Image Analysis, Artificial Intelligence (AI), Object Detection, Data Science
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