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 .

Langues

Français
Bilingue ou natif
Anglais
Capacité professionnelle complète

Préférences en matière de lieu de travail

Accepte de travailler sur site

Paris (jusqu’à 50 km)

Diagnostica Stago
Data Scientist
SECTEUR MÉDICAL
novembre 2018 - décembre 2020 (2 ans et 2 mois)
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
SANTÉ & BIEN-ÊTRE
août 2017 - octobre 2018 (1 an et 3 mois)
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