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AI Staff Scientist at Siemens Healthineers
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Deep learning scientist working on medical imaging. I graduated from EPITA, a Computer Science school with a major in Machine Learning. I mainly work with Python and C++. I have been working for Siemens Healthineers for almost eight years, and I look forward to contributing to a healthier world for everyone !
Boston University
Java, C++, Discrete Maths
January 1, 2014 – January 1, 2014
EPITA: Ecole d'Ingénieurs en Informatique
CSAC (Cognitive Science and Advanced Computing)
January 1, 2012 – January 1, 2017
Institution Saint Joseph du Moncel
Baccalauréat, Scientifique
January 1, 2009 – January 1, 2012
Siemens Healthineers
AI Staff Scientist
January 1, 2025 – Present
Siemens Healthineers
Senior Research Scientist - Computer Vision
January 1, 2020 – January 1, 2025
Siemens Healthineers
Research Scientist - Computer Vision
May 1, 2019 – January 1, 2020
Siemens Healthineers
Research Scientist - Computer Vision
April 1, 2018 – May 1, 2019
Siemens Healthineers
Machine Learning Research Intern
February 1, 2017 – March 1, 2018
EPITA
Teaching Assistant C/C++ UNIX (ACU)
September 1, 2016 – January 1, 2017
Greater Paris Metropolitan Region
EPITA
Teaching Assistant Java / C++ (YAKA)
January 1, 2016 – August 1, 2016
Greater Paris Metropolitan Region
Auxens
Software Engineer Intern
September 1, 2015 – January 1, 2016
Firfol, Normandy, France
EPITA
Teaching Assistant C# / OCaml (ACDC)
September 1, 2014 – June 1, 2015
Greater Paris Metropolitan Region
Signature recognizer
August 1, 2016 – Present
Signature recognition system using DTW in Matlab
FireFighter
July 1, 2016 – Present
Real-Time fire detection in video using C++ and OpenCV
Flock
July 1, 2016 – Present
Parallel flock simulation using Java and OpenGL
Text Mining
July 1, 2016 – Present
Giving a word and a maximum distance, it allows user to get closest words in a 3 million words dictionary using Damerau-Levenshtein distance and a radix tree. Radix Tree is not loaded in RAM, it is read from disk.
Sybway
June 1, 2016 – Present
A multi-agent system simulating human trafic in a subway station.
Horus
April 1, 2016 – Present
Violence detection system using different methods : - MoSIFT + SVM - MoSIFT + CNN
Chess
June 1, 2015 – Present
An AI able to play chess made in C++.
YaKaramel
June 1, 2015 – Present
Full website (backend + frontend) made from scratch using Java (J2EE), Hibernate,SpringMVC, MySQL for the backend and HTML5/CSS and JavaScript for the frontend
Watabout
February 1, 2015 – June 1, 2015
An Android application which able users to leave and share reviews about books using their bar codes. Application made in Java. Bar code reader made from scratch using C++ and OpenCV.
Tiger Compiler
January 1, 2015 – June 1, 2015
Creation of the front-end and middle-end of a Tiger Compiler from scratch as described by Andrew W. Appel.
Malloc
October 1, 2014 – Present
Implementation of the malloc, free, calloc and realloc functions as described on the standard C library.
Raytracer
October 1, 2014 – Present
Writing of a Raytracer using C in 36 hours.
Trance Invader
February 1, 2014 – Present
Development of "Space Invader" like video game runing on iOS and Android using Objective-C and Cocos2D for the iOS version, and Java and LibGDX for the Android one
iLazy
October 1, 2013 – December 1, 2013
Development of an OCR system running on UNIX using OCaml and SDL.
Video Game project
November 1, 2012 – June 1, 2013
Survival video game development from scratch using C# and XNA
Cultural Fit Analysis
The candidate has a strong background in academic and research environments (EPITA, Siemens Healthineers). The numerous personal projects demonstrate initiative and a broad interest in various technical domains, from compilers to AI and mobile development. While the target role is 'iOS Developer', the candidate's professional experience is heavily skewed towards AI/Computer Vision. The personal projects show some mobile development, but the primary professional trajectory is not directly aligned with a dedicated iOS development role, which might impact cultural fit for a pure mobile team.
Soft Skills & Operational Fit
The candidate's extensive experience as a Teaching Assistant suggests strong communication and mentoring skills. The diversity of personal projects indicates a proactive and self-driven individual. However, the provided data does not offer direct insights into stress handling, team collaboration, or specific work attitudes beyond what can be inferred from project completion.