
Pierre OLIVE
CTO & Co-founder @Spayr
Salaire / Taux journalier
Paris, France
Freelance, ouvert au CDI
Peut venir sur site
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À propos
Expérience de travail
Co-Founder - CTO
Spayr
juin 2021 - Présent
5 ans 5 mois
Paris, France
• Created a payroll system that handled 4m+€ of payroll for 100+ B2B clients (Enterprise to SMBs). • Developed the mobile app / dashboard and payroll management services • Built all Data and Cybersecurity compliance processes (certified by multiple Znterprise clients). • Tech Stack: Ruby On Rails, React, Sveltekit, React Native, AWS.
Senior Software Engineer
Self-employed
avr. 2021 - juin 2021
3 mois
Engineering Lead - Data
adameo
oct. 2019 - janv. 2021
1 an 4 mois
Paris Area, France
• Lead Engineer working on the creation of an internal Data lab within adameo and a Data Software Delivery Agency, • In charge of development and deployment for both internal and customer solutions, • Training of consultants on several subjects: Product Management, Service Design, Data Analysis, Artificial Intelligence understanding, • Deployment of 5 custom AI powered solutions for our clients (still in production): Retail Stock Forecast, Customer Clustering.
Consultant - IT Advisory / Technology Team
BearingPoint
oct. 2017 - oct. 2019
2 ans 1 mois
Région de Paris, France
- A year as a Tech Product Owner for a Banking app (Web, iOS, Android) of a major French Bank with 80k weekly users. I worked with 4 teams: 20 developers, 5 QA Engineers, 3 designers and 4 product owners. - A year as a Proxy Product Owner for a Back Office Management Application in a French Insurance Company, 500 daily users. Part of a team with: 10 developers, 2 QA Engineers, 1 designer. - Part of an internal team that created an Innovation Lab within BearingPoint France - Development of a Blockchain based KYC analysis prototype for a French bank.
Consultant
Leyton France
déc. 2016 - sept. 2017
10 mois
R&D Engineer: Computional Mechanics
Imperial College London
avr. 2016 - sept. 2016
6 mois
Londres, Royaume-Uni
- Application of non intrusive methods for the uncertainty quantification of the mechanical performances of fibre-reinforced composites. - Coupled a stochastic modelling framework with a hybrid finite element approach based on Polynomial Chaos Expansion.
Formation
Imperial College London
Master of Science (M.Sc.), Aeronautical Engineering
2015 - 2016
2 ans
Résultat : Merit
Focus on: Composite Materials, Computational Mechanics, Stochastic Modelling, Programming (Matlab, Python, Fortran)
Arts et Métiers ParisTech - École Nationale Supérieure d'Arts et Métiers
2013 - 2015
3 ans
Focus on : Applied Mathematics, Statistics, Project Management, Economics
Classe Préparatoire Lycée Hoche, Versailles
2011 - 2013
3 ans
Preparatory School Diploma (PCSI-PC*), 2-year intensive undergraduate courses in Mathematics, Physics, and Chemistry
Licences et certifications
Sequences, Time Series and Prediction
Délivré le : sept. 2020
Nanodegree - Machine Learning Engineer
Délivré le : sept. 2020
Deep Learning for coders
Délivré le : juin 2020
Machine learning for coders
Délivré le : juin 2020
Certified SAFe® 4 Scrum Master
Délivré le : janv. 2019
Product Design (in collaboration with Google)
Délivré le : oct. 2018
Rapid Prototyping (in collaboration with Google)
Délivré le : oct. 2018
Ruby on Rails Track (e-learning)
Délivré le : mai 2018
Comprendre le Bitcoin et la Blockchain
Délivré le : juin 2017
Machine Learning - Stanford
Délivré le : juin 2017