Freelancer profile translated to English.
Back to original languageAbout Espoir
🚀 Transform your processes into strategic assets through Generative AI and Automation. 🚀
About Me: With experience at global leaders like AXA, Chanel, and Schneider Electric, I founded AI Factory Dynamics (AFD) to bring the technological excellence of large corporations to SMEs and mid-sized companies.
I don't just deliver code; I deliver production systems. My expertise merges AI strategy (RAG, LLM) and MLOps rigor (Azure, Databricks, MLFlow) to ensure scalable, secure, and profitable solutions.
Why work with me and my AFD team?
Business Vision: Comprehensive audit of your processes to identify productivity gains (15h-30h saved/week).
Software Rigor: Python packaging, robust testing (Pytest), and CI/CD for ultra-fast 'Time to Market'.
Sovereignty & Cost: Optimization of 'Run' costs and strict adherence to your data confidentiality (GDPR).
Our Premium Services: 🤖 Business AI Agents: Integration of LLMs (RAG) trained on your proprietary data. 🔗 Robust Data Pipelines: Seamless automation with Azure Data Factory & Databricks. 📊 MLOps Strategy: Deployment and monitoring for tangible and sustainable results.
Contact: 🎯 Empower your business units to go further by automating non-value-added tasks. 📲 Contact me for a quick assessment of your AI opportunities.
French
Native or bilingual
Can work on-site
Paris (up to 50km)
Experience
- Schneider (AE)Cloud ML EngineerMECHANICAL ENGINEERINGFebruary 2024 - Today (2 years and 4 months)Boston, United StatesTransform models created by data scientists into usable solutions for the business.Transform Databricks notebooks into Python files.Package Python files (understanding Python packaging).Deploy packages using bundles.Manage development environment (pyenv, nox: test environment, etc.).Package deployments: CI/CD Pipelines (github actions, semantic versioning).Develop and deploy conversational AI applications.The goal is to help build high-performance document search engines:Using Langsmith Demo with a cookbook, Fine-Tuned Model with Azure ML Model endpoint, conversational agent with Langchain conversational memory with Azure cosmos db, Azure DataFactory, Azure ML pipeline, Databricks workflow, vector database with Azure cognitive search.
- La posteConversational AI Application DevelopmentNovember 2023 - February 2024 (3 months)Using Pinecone and LLM (OpenAI's ChatGPT). The goal is to help the postal service build a high-performance document search engine: BACKEND API (Python(langchain), Postgresql, DjangoFramework, Azure) and FRONTEND API (React, CSS, HTML).
- Phe-AutodistributionMLOPS Support: Data Engineer - Machine Learning EngineerAUTOMOBILEFebruary 2022 - November 2023 (1 year and 10 months)Neuilly-sur-Seine, FrancePricing Project (Competitive intelligence, Inflation: Azure Databricks, Azure Data Factory, DBT, Azure DataLake Gen2, Pyspark)Upstream Logistics Project: (Application of penalties to late suppliers: Azure Databricks, Azure Data Factory, DBT, Azure DataLake Gen2, Pyspark)
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Education
- Master's in Data Science, Big Data, Statistics, Computer ScienceYnov Informatique2019Mastère Datascience, Big Data , Statistiques , Informatique
- Master 1 in Mathematical Engineering, Applied MathematicsUniversité Paris Descartes2018Master1 Ingénierie Mathématique , Mathématiques appliquées