Joris Guerry, Ph.D work email
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Joris Guerry, Ph.D personal email
🧠 I’m a big fan of FastAPI, Angular, Nx, and GCP.💬 Ask me anything! My expertise spans computer vision, time series, NLP, and deep learning—but I’m always excited to chat about anything tech.🔭 During the week, I’m at EDF R&D, where I’m building a state-of-the-art internal data science platform for nuclear data. Recently, I stepped into the role of Project Manager for a predictive maintenance initiative for the hydraulic fleet.🌱 On weekends, I’m diving deep into the next iteration of Rumble Studio 🎙️, helping people and companies effortlessly create and share audio content.💻 Occasionally, I take on freelance work—mainly in Python, Angular, AI, or helping startups establish best practices from the ground up.Past Projects:- Rumble Studio 🎙️ – Currently in admin-only mode, it's a platform for seamless audio content creation.- Spoken 💬 (WIP) – The next evolution of Rumble Studio with enhanced flexibility for interview design.- Banana Army 🍌🪖 (on hold) – A no-code platform with a focus on inclusivity, accessibility, and ecological impact.- Mimo Vision 🎥🧠 (RIP) – SaaS designed to utilize surveillance networks for privacy-first image control and monetization.- Boosty 💻🤓 (RIP) – A platform that leveraged AI to analyze and dynamically generate platform components.Looking Ahead:I’m eager to revive Boosty someday and explore new projects like Kokoi, a writing support tool, among other exciting ideas.⚡ Fun fact: My dog’s name is Java 🐶💛—the next one will undoubtedly be Python.Let’s connect and create something amazing together! 🌟
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R And D Project ManagerEdfLille, Fr -
Ingénieur De RechercheEdf Apr 2024 - PresentParis, France, Fr
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Business Creation LeaveEdf Dec 2019 - Mar 2024Paris, France, Fr
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Engineer In Applied MathematicsEdf Dec 2017 - Nov 2019Paris, France, Fr- Co-leader of the Deep & Reinforcement Learning Task Force with the objective of exchanging best practices, publications, codes and tips in machine learning, - Development (from training to use) of a solution for detecting very small details in very large images of 30,000x15,000 pixels via neural networks, - Development of a solution for estimating the age of building by applying neural networks on facades pictures, - Feasibility study of the integration of convolutional neural networks on RISC-V architecture electronic boards for the automatic reading of analogical pressure gauges - Comparison of different software solutions for the processing of time series to improve our maintenance strategies - Recurrent use of the docker architecture for its data-science container images - Development of numerous web applications via the Flask Python package for annotation, modification and use of our internal data in a multi-platform way - Worked on HPC cluster with job manager for optimization of hyper-parameters of neural networks
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PresidentRumble Studio Apr 2024 - PresentParis, Fr -
Co-Founder & CtoRumble Studio Apr 2020 - Mar 2024Paris, FrAs founder at Rumble Studio, I am involved in all key aspects of the company. Specifically, I am responsible for product development: I analyze user feedback and prioritize new features. I also write support articles, provide technical and commercial support, and participate in our community discussions.I have developed the entire architecture of Rumble using tools such as FastAPI, FFmpeg, PostgreSQL, Docker, GCP CloudRun, and Angular. I am also responsible for refactoring the code, putting it into production, monitoring statistics and logs, and optimizing associated costs. I have been able to recruit and be supported by different technical profiles using an approach to development in short or continuous cycles depending on the size of the team. I promote peer programming to convey best practices and also to gain insight into code sections of other. I also lead the research aspect of Rumble (including launching a CIFRE thesis and partnering with the academic world).I manage the company's finances, working on financial projections, general accounting, research tax credit, and fundraising (dilutive and non-dilutive). I have established the policy for remuneration, employee benefits, contracts, and payroll (bonuses, meal vouchers, vacation, advances, etc.). I also organize different team-building activities every 6 months.
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Co-FounderBanana Army Apr 2023 - PresentBanana Army is an inclusive no-code platform to build and publish web applications.We're currently part of the EuraTechnologies Incubation Program (October 2023 Promotion). Follow our LinkedIn page to stay tuned: https://www.linkedin.com/company/banana-army -
FounderBoosty Sep 2019 - Mar 2020The goal of Boosty was to transform visual design into code. By using various computer vision technologies, deep learning, and web scraping, it is possible to train different models to generate code and respect design constraints.Update: The year 2023 marks the arrival of consumer-grade LLM models (like GPT models) and makes this goal much more achievable (and perhaps, therefore, less defensible from a startup creation standpoint). For those interested, an alternative company in this field, more focused on design than code, is https://uizard.io. -
Entrepreneur (Pa3/Pa4)Entrepreneur First Sep 2019 - Jan 2020London, GbEntrepreneur First est un investisseur international "en talent" qui aide les individus à créer des entreprises technologiques. Il possède des bureaux dans six villes : Londres, Berlin, Paris, Singapour, Hong Kong et Bangalore. Fondée en 2011 par Matthew Clifford et Alice Bentinck, l'entreprise a vu plus de 1000 personnes suivre son programme en 2019, créant plus de 200 entreprises pour une valeur totale de 1,5 milliard de dollars. Entrepreneur First se distingue d'autres accélérateurs tels que Y Combinator et Wayra car il recherche des individus dans lesquels investir, plutôt que des entreprises existantes. -
Ingénieur Doctorant En Vision Par OrdinateurOffice National D'Etudes Et De Recherches Aérospatiales Onera Sep 2014 - Nov 2017Palaiseau, Ile De France, FrIntitulé : Reconnaissance visuelle robuste par réseaux de neurones dans des scénarios d'exploration robotique. Mots-clés : computer vision, domain adaptation, transfer learning, object recognition, machine learning, robotics, RGBD, 3DL'objectif de la thèse est de transférer sans dégrader les performances des classifieurs entraînés sur de larges bases d'exemples labelisés vers un domaine d'intérêt où les données labelisées ne sont pas suffisament nombreuses, voire indisponibles sur les scénarios représentatifs (inaccessibilité opérationnelle, coût d'acquisition). La principale difficulté réside dans le fait que les distributions des caractéristiques extraites d'exemples de différents domaines peuvent varier considérablement. L'adaptation de domaine consiste par exemple à établir une fonction de transfert entre les domaines ou à chercher un espace de représentation invariant au changement de domaine. -
Moniteur En Vision Par OrdinateurEcole Polytechnique Oct 2015 - Jan 2017Palaiseau, Île-De-France, FrEncadrement d'élèves du cycle Polytechnicien dans la gestion de projets divers autour de la vision par ordinateur et de l'intelligence artificielle. -
Stage De Fin D'Étude En Commande De DroneInstitut Des Systèmes Intelligents Et De Robotique (Isir Upmc) Feb 2014 - Jul 2014Paris, Ile-De-France, FrModélisation et identification aérodynamique d'un mini-drone convertible.Afin d’augmenter la durée de vol des drônes il est intéressant d'étudier les structures dites «convertibles», c’est-à-dire capables de faire du vol stationnaire mais aussi de dépenser peu d’énergie en vol rapide grâce à des surfaces portantes de type aile. Un des problèmes posés par ce type de structure est l'interaction aérodynamique entre les flux engendrés par les hélices et les flux induits par la présence des ailes. L'objectif de ce stage est d'étudier ces interactions sur la base d'un prototype, et éventuellement de proposer des modifications de la géométrie de l'engin afin d'améliorer les performances énergétiques et les capacités de vol.Préparation du stage de Octobre à Décembre 2013 puis stage de Janvier à Juin 2014. -
Stage Assistant Ingénieur En Programmation D'AutomateSapelem Jun 2013 - Sep 2013Aide à la programmation de systèmes robotisés. Utilisation du protocole de communication série CAN et du langage C/C++ pour commander des variateurs de moteurs variés. -
Mécanicien IntérimaireEndel Gdf-Suez Jun 2012 - Aug 2012Colombes, FrAssemblage et manutention sur un chantier naval pour l'adaptation d'un sous-marin nucléaire à de nouvelles technologies d'armement. -
Stage ExécutantMarine Nationale Feb 2012 - Mar 2012France, France, FrMaintenance de composantes mécaniques des bâtiments de la Marine Nationale. Visites de moteurs électriques, de pompes, de guindeau-cabestan (nettoyage, remplacement des pièces d'usures, diagnostics...)
Joris Guerry, Ph.D Skills
Joris Guerry, Ph.D Education Details
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École PolytechniqueInformatics -
Pierre And Marie Curie UniversityParcours Ra (Robotique Autonome)
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Arts Et Métiers - École Nationale Supérieure D'Arts Et MétiersIngénierie Mécanique Et Industrielle
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Lycée NavalBac Mention Tb Et Cpge Mpsi/Psi
Frequently Asked Questions about Joris Guerry, Ph.D
What company does Joris Guerry, Ph.D work for?
Joris Guerry, Ph.D works for Edf
What is Joris Guerry, Ph.D's role at the current company?
Joris Guerry, Ph.D's current role is R and D project manager.
What is Joris Guerry, Ph.D's email address?
Joris Guerry, Ph.D's email address is jo****@****ique.fr
What schools did Joris Guerry, Ph.D attend?
Joris Guerry, Ph.D attended École Polytechnique, Pierre And Marie Curie University, Arts Et Métiers - École Nationale Supérieure D'arts Et Métiers, Lycée Naval.
What skills is Joris Guerry, Ph.D known for?
Joris Guerry, Ph.D has skills like Matlab, Gestion De Projet, Robotics, Project Management, Computer Vision, Catia, Mechanical Engineering, Machine Learning, Deep Learning, Mobile Robotics, Command And Control, Kalman Filtering.
Who are Joris Guerry, Ph.D's colleagues?
Joris Guerry, Ph.D's colleagues are Magali Bernard, Guilllaume Thomas, Camille Hennaut, Rebecca Atigui, Catherine Cambus, Frederic Dadrier, Erwan Hamon.
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