Description

🎓 Freshly graduated engineer from Ecole Centrale de Lyon

👨‍💻Specialized in Data Science and Computer Vision

📷 Photographer and images enthusiast

📚 Disciplined and organized

🦄 Creative and open-minded

Are you looking for a motivated junior data scientists to work on your exciting project?

Well, you are at the right place!

My name is Fabien, and I am a recently graduated Computer Science Engineer. Always eager to learn, I am looking to be involved on challenging and meaningful subjects.

Computer Vision topics are my favourites as is it where my engineering skills meet my passion for images.

During my studies I took part in several projects related to image segmentation and objects detection. I am familiar with OpenCV, pythorch and CUDA frameworks and nerual networks architectures.

My last project was to train a U-Net based model (pathoNet) to perform mitotic cells detection in order to detect tumors in Ki-67 slide images.

I look forward to meeting you and collaborate on your projects.

See you soon!

Languages

French
Native or bilingual
English
Fluent

Workplace preferences

Remote only

Primarily works remotely

WAVESTONE
Cybersecurity Analyst
CONSULTING AND AUDITS
April 2022 - September 2022 (6 months)
Luxembourg, Luxembourg
- Performed a phishing campaign with Gophish to raise awareness (VPS configuration with ssl certificate, DNS, SMTP)

- Performed a market study on 33 SOAPA framework tools (SIEM, EDR, NDR, UEBA, App Security, Vulnerability Management, CTI, SOAR) Studied SOAR solutions for the CSIRT of a public European institution (research work and synthesis on incident management)

- Structured the security monitoring of a 200+ people consortium (reporting/dashboards/KPIs)

- Organized a crisis management exercise
Cybersécurité SIEM Phishing Gestion de projet Microsoft Excel Microsoft Powerpoint
LIRIS (Laboratoire d’Informatique en Image et Systèmes d’Information
Detecting, segmenting and counting mitotic cells on Ki-67 whole slide images
RESEARCH
January 2022 - March 2022 (3 months)
Lyon, France
- Pre-processed the dataset of Ki-67 slide images presenting carcinoid tumor of the lung

- Adjusted and evaluated PathoNet computer vision and machine learning model to the new dataset
Computer Vision Python Pytorch Data science Image Processing Neural Networks CUDA
Sncf Reseau
Software Engineer Internship
TRANSPORTATION
January 2021 - June 2021 (6 months)
Lyon, France
- Developed an Android application (Java) for field engineers : measurement forms with pictures saved in xlsx format reports

- Implemented a transfer learning method with Java Deeplearning4j Yolo model for objects detection and classification in field photos

- Practised Agile project management
Computer Vision Deep Learning Java Android Studio Android Neural Networks Machine learning Data science