Moove is an on-demand aviation SaaS-marketplace (www.flymoove.com) aiming at making business aviation more accessible & efficient through one-of-a-kind digital technologies.In addition to market turboprop aircraft through chartering & co-ownership, we have created a unique real-time benchmark technology to highlight time & cost savings of on-demand aviation compare to traditional transportation means, a great tool for operators & flight departments to improve direct sales and manage their bookings.> Moove is the distribution platform for the air mobility revolution.

AI R&D consultancy, leveraging cutting-edge technologies to transform major companies’ data into business value.• Developed a Transformer-based solution trained on 1B+ shopping baskets for product recommendation, continuously deployed for 10M+ customers• Led demand forecast projects for supply chain optimization, enabled a turnover increase of £5M per year for retail warehouses• Joined as a Partner, led business developments efforts in the retail space• Recruited and managed a team of 3 full-time and 1 intern Data Scientists

Co-founded a legal platform for safe and anonymous complaint filing online in France, without ever needing to go to a police station. Was mentioned in national media (Radiofrance, Huffington Post, etc.)

Acoustic Wells is a Boston-based company delivering AI-powered IoT solutions in the energy sector, designed to reduce oil field's carbon footprint. MIT 100K & CleanTech Open North East award-winner.• Redesigned and implemented the company’s data engineering pipeline• Enabled ETL operations on raw data streamed from 200 remote oil assetsevery 15 minutes (previously 15 assets every 2 hours)• Implemented statistical analysis on physical signals from oil wells, for dailyanomaly detectionTechs : Apache Airflow ,AWS, scikit-learn, CasADi optimization framework

J2-Reliance is a tech-consulting company providing state-of-the-art end-to-end Machine Learning and AI-powered solutions to major companies.I have participated in a wide project aiming to predict in shopping malls the next baskets of customers, and evaluating the similarity and clusters between 42000 products, for France's largest retailer.I specifically elaborated full-scale AI in order to predict the next purchases, tackling the state-of-the-art ML architectures. I also designed, implemented and deployed the ML pipeline at its full scale, dealing with 2B+ lines of tickets, and calculating 500GB+ of features.Techs : Google Cloud Platform, Transformer, Pytorch, scikit-learn, xgboost, Apache Airflow, Apache Beam, ML Big Query, Python

Hublo is on a mission to revolutionize the home laundry service in Paris and worldwide, combining the know-how of local dry cleaners, technology, and eco-responsibility.• Developed customers and employees mobile applications, payment and laundry tracking system, administration panel, and backend infrastructure• 2000+ customers and 10000+ orders handled by the service• Managed a DevOps and Data Engineer trainee• Presented on national TV channels and newspapers (France 2, Les Echos)• Member of the company’s Strategic BoardTechs : React, React Native, Node.js, TypeORM, Google Cloud Platform

@ParisDigitalLab is an open innovation selective training program to enable the most talented tech-focused students to become proficient in various technologies through the realization of real-world projects.I led 3 7-week agile projects tackling real-world use cases :- Designed and implemented a fully digital offline-compatible and multi-platform responsive solution for French State fraud inspectors (DGCCRF), facilitating their work on the field during controls.- Delivered to a smart loyalty program startup (Spaycial) a dual solution providing smartly-designed both segmented and individualized offers in shopping malls- Implemented for AFNOR a digital solution allowing a better delivery and understanding of electrical standards for everyday-life end-users.

While students prepare their highly competitive examinations for the top french engineering students, oral examinations are performed in mathematics and physics on a weekly basis. Students are per group of 3, and some teacher leads this examination by asking questions on the lesson and giving some exercices.I therefore endorse these examinations as a physics teacher, 3 hours per week in 2018-2019, 7 hours in 2019-2020.