Description

After graduating from fundamental physics degree I did an engineering school in electronics ( ENSEA ) .This background enabled me to develop a high autonomous and passion for the “do it yourself”. Thanks to all this acknowledge I can operate on conception of several elaborated systems.

Because I am always looking for new challenges, I have engaged a mission in AI field. My aim is becoming a specialist in AI on edge and mix my two passions embedded electronics and AI .

Languages

French
Native or bilingual
English
Fluent

Workplace preferences

Can work on-site

Paris (up to 50km)

Diagnostica Stago
Data Scientist
MEDICAL
November 2018 - December 2020 (2 years and 2 months)
Paris, France
- Machine learning for medical use.

- Developed CNN , MLP neural network and other machine learning models : SVM , Random Forest , isolation forest etc .

- Work on anomalies detection with a 3 stages methods : extract sub database , Train an auto encoder on the sub database and extract latent space, use connectivity outlier factor algorithm to attribute an anomalies score. Unsupervised method.

- Work on Time Series datas.

- Predict blood coagulation levels from images and graphs.

- Classification of molecule by presence (Abnormality detection) , family (binary) and type (Multi).

- Works in a research and patent context.

- Framework : scikit-learn, keras, tensorflow.

- Language : python.

- CI : git, mlflow, teamcity, anaconda.

- Data ingestion: csv, xml, data lake ( Hadoop), other database (PostegreSQL).

- Data visualization libraries : pandas, matplotlib, seaborn.
Data science Machine learning Software Git Python Scikit-learn keras TensorFlow
RCUP
CTO
HEALTH AND WELLNESS
August 2017 - October 2018 (1 year and 3 months)
Paris, France
- Developed Electronic chain for pressure plantar.

- Developed IA algorithm to find the best place/number for sensors.

- Developed Full Activity Tracker architecture powered by freeRTOS.

- Managed Web and Android development.

- Made a full hardware board with BLE , Accelerometer, Motor, Battery Driver. Hard constraints due to the form factor.

- Developed geofencingalgorithm (kalmann) based on raspberry pyscanner.

- Developed full software architecture with a scheduler architecture for the custom board.
electronic engineering Software intelligence artificielle FreeRTOS Hardware Raspberry Pi