Freelancer profile translated to English.
Back to original languageAbout Emmanuel
I am a junior AI Engineer and an experienced full-stack developer, flexible, autonomous, and curious, having worked with numerous languages and frameworks in many different contexts.
Aware of operating in a competitive and constantly evolving environment, I participate in numerous training courses (MOOCs, Bootcamps, and degree programs) to stay up-to-date. It is in this spirit that I recently validated the diplomas of Python Application Developer (RNCP 6 / Bachelor's degree) and AI Engineer (RNCP 7 / Master's degree).
Mastering to varying degrees all the steps leading to the production of web applications or artificial intelligence models, I can work alone from end to end or on a single element and in a team depending on the context. Thus, I can assist you in preparing or framing your project (diagramming / user stories / GDPR compliance / ...), as well as in development (model preparation / front & back dev / REST API / ...), or in production and monitoring (MLOps / DevOps).
I take almost equal pleasure in preparing, coding, or deploying projects with or without AI and therefore remain open to all proposals.
Japanese
Basic
Spanish
Basic
English
Conversational
French
Native or bilingual
Can work on-site
Paris (up to 50km)
Experience
- Omdena - UAE TII FalconLead ML EngineerDIGITAL AND ITAugust 2023 - October 2023 (2 months)Paris, FranceOn this project, we implemented a pipeline allowing conversation, orally or in writing, with an LLM (in this case, a fine-tuned Falcon7B) prepared with over 3000 open-data datasets from the Abu Dhabi data resource center (https://data.abudhabi/opendata).The goal was to provide a voice/text engine for advanced data analysis using Abu Dhabi's open data. The queries therefore return either answers to specific questions or code snippets for generating requested graphs.I joined the deployment team and set up the infrastructures to run the prototype on AWS and GCP.- Development of a Flask API exposing selected models (our fine-tuned Falcon model, but also Mistral7B, CodeLLama7B, and CodeLlama13B)- Creation of a Gradio demonstration client- Deployment (models, API) on AWS and GCP (with or without Kubernetes)- Dockerization (with GPU support) of the frontend (Gradio) and backends (LLMs)
- Omdena - ReachbotsLead Machine Learning EngineerCIVIL ENGINEERINGJune 2023 - September 2023 (3 months)Paris, FranceOn this project, we built a weld defect recognition system that can be deployed on robots to facilitate verification processes in shipbuilding (in real-time).I joined the modeling team to prepare a multi-label model and took the lead of the deployment team for demos.- Assistance with modeling (preparation and training of a multi-label YOLOv8 model)- Development of a Flask API exposing selected models- Creation of an HTML5/JavaScript demonstration client- Creation of a Streamlit demonstration client- Deployment (models, API) on AWS using various methods- Presentation in English of the deployment team's progress during weekly meetings with the 50 collaborators and during demo presentations with the partner.
- Omdena - MyCoverJunior ML EngineerBANKING AND INSURANCEJanuary 2023 - March 2023 (3 months)Paris, FranceDuring this project, we built a vehicle recognition and inspection system that can help prevent fraudulent insurance claims when an accident occurs.First, I joined the data collection and preparation team. Within this team, I first coded an annotation tool that met our needs, then I helped collect and prepare the data necessary for such a project. This was very interesting, as until then, all my AI/ML projects had data to start with... I therefore discovered how difficult it can be to collect relevant data and realized that it is actually an activity that requires good knowledge of machine learning.Then, second, I took charge of the project deployment. To do this, I wrote a Flask API to federate the different models, set up an SQL DB, and then deployed everything on AWS.Finally, to demonstrate the capabilities of our tool, I wrote a demonstration client using vanilla html5 & javascript.
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Education
- AI Engineer / Data ScientistOpenClassrooms in partnership with Microsoft and CentraleSupelec2022Réalisation de 11 projets professionnalisants - Cadrage d'un projet IA (ROI, équipe, éthique, RGPD) - Développement & déploiement d'un chatbot - Réalisation d'une app de recommandation de news - Segmentation d'images pour véhicules autonomes - Détection des bad-buzz via l'analyse de sentiments - Classification d'images sur un portail type Yelp - Identification des sujets d'insatisfaction des clients - Segmentation des clients d'un site e-commerce - Création d'un credit-scoring pour des micro-prêts - Analyse exploratoire basée sur les Nutri-Scores - Analyse exploratoire pour le suivi des parcs Parisiens
- Python Application DeveloperOpenClassrooms2021Réalisation de 13 projets professionnalisants Scrapping, Flask, Django, HTML5, CSS3, Javascript, TDD, PEP8, UML, User-stories, Figma, KANBAN, Shell, Locust, API REST, OWASP & RGPD, SQL, Git, CI/CD
Certifications
- Improving Deep Neural Networks: Hyperparameter tuning, Regularization and OptimizationCoursera / deeplearning.ai
- Deep Learning SpecializationCoursera / deeplearning.ai