Experience
2020 — Now
2020 — Now
San Francisco Bay Area
We build a space infrastructure as a service, providing rapid, reliable, and simplified access to space.
Part of the Ground Software team, I am developing Cockpit, Loft's satellite operations software that empowers end-users with powerful satellite constellation management capabilities while abstracting away the complexity of spacecraft operations.
I am also supporting satellite commissioning and daily operations as a Flight director, contributing to the success of Loft’s SatDevOps movement, a highly automated and efficient way to operate satellites.
2019 — 2020
2019 — 2020
San Francisco Bay Area
Development of an AI research assistant to keep up with the topics, trends and industries you care about, without the information overload.
Meet Leo: https://blog.feedly.com/leo/
2017 — 2019
2017 — 2019
San Francisco, California, États-Unis
As first Machine Learning Engineer at GlobalEnglish, I developed from scratch two significant machine learning products:
Automatic English Lesson Generator:
● Designed, in collaboration with linguistic experts, a Machine Learning software to generate English learning lessons automatically
● Researched and implemented two recent papers on Neural Question Generation using PyTorch to create advanced Reading Comprehension questions automatically
● Deployed the project as a Flask microservice
Automatic English Pronunciation Scorer:
● Developed deep learning algorithms to score English pronunciation automatically after researching and experimenting state-of-the-art architectures mixing CNN and LSTM models
● Built a real-time dashboard to monitor the model performance over time and avoid concept drifting
● Investigated Speaker Verification methods including D-vector extraction to prevent fraud during English Speaking tests
● Leveraged the Speech Recognition engine Kaldi for Speech-to-Text and Speech Alignment tasks
● Worked on speech transcripts of non-native English speakers to score Grammar skills automatically using statistical NLP and deep learning models implemented in PyTorch
2016 — 2016
2016 — 2016
Consulting mission with Accenture aimed at developing Accor Hotels' loyalty program using past transactional data:
● Identify Accor Hotels' best members using k-means FM segmentations
● Qualify best members travelling behaviors
● Target best future members using scoring models
● Devise a personalized acquisition campaign strategy to recruit these future members of interest
● Deliver recommendations to a C-level audience
2015 — 2015
2015 — 2015
Greater Paris Metropolitan Region
fifty-five helps brands leverage their data to increase marketing, advertising, and sales effectiveness.
● Analyse data and structure relevant information for retail clients, in consistency with business indicators specific to their industry (Google Analytics, Adobe Analytics)
● Build reporting tools monitoring client’s digital activity in real-time, based on key performance indicators (Tableau Software)
● Advise a French bank on a set of tools to use for their banking app in order to monitor customers' activity, create marketing campaigns (in-app message or push notification) and fix crashes
Education
École Polytechnique
Master's degree
ESSEC Business School