Blend B.

I support companies at every stage of their AI transformation: from ideation to production, including technological benchmarking, project structuring, and team training and popularization.

My role: to advise, diagnose, structure, and manage the implementation of artificial intelligence solutions (machine learning, deep learning, NLP, vision, generative AI, autonomous agents, MLOps...), with a strong focus on value creation, security, compliance, and alignment with business needs.

Specializing in the design, deployment, and industrialization of artificial intelligence solutions, I have recognized expertise across the entire AI cycle: machine learning, deep learning, NLP, computer vision, MLOps, autonomous agents, and generative AI. I work on technological benchmarking projects, POC development, cloud integration (Azure, AWS, GCP), and support for production deployment, taking into account security, compliance, and scalability constraints.

Technical Mastery:

Python, PyTorch, TensorFlow, scikit-learn, Keras, HuggingFace, LangChain, CrewAI, Autogen, LangGraph, LlamaIndex, OpenAI API, Azure AI, Azure Machine Learning, FastAPI, Flask, React, SQL, NoSQL, Docker, Git, CI/CD, MLflow, Weights & Biases, Power BI, Dataiku, Snowflake, Airflow, ChromaDB, Pinecone, FAISS.

I regularly conduct AI training sessions and workshops for both expert and non-technical audiences, and I popularize advanced AI concepts (LLM, RAG, computer vision, MLOps, data engineering...).

As a pedagogical, results-oriented, and business-focused professional, I help you define use cases, integrate AI into your processes, and ensure robustness, security, and performance in your data and AI projects, regardless of your organization's maturity level.