I’m an AI consultant and co-founder of PrivAI, where I help organizations design and deploy secure, multimodal AI solutions tailored to their data and compliance needs. With a background in quantitative finance and hands-on experience in machine learning, LLMs, and Retrieval-Augmented Generation (RAG), I bridge the gap between business strategy and advanced AI engineering. Previously, I worked as a Data Scientist at Butterfl.ai, developing ML models and scalable architectures, and as an ALM & Risk Analyst in the financial sector — a foundation that gives me a strong understanding of high-stakes, data-sensitive environments. I stand out for my ability to turn complex AI technologies into concrete, privacy-focused solutions — from concept to production — using modern stacks like FastAPI, GCP, Docker, and Chainlit.

Mathieu Bosse

I’m an AI consultant and co-founder of PrivAI, where I help organizations design and deploy secure, multimodal AI solutions tailored to their data and compliance needs. With a background in quantitative finance and hands-on experience in machine learning, LLMs, and Retrieval-Augmented Generation (RAG), I bridge the gap between business strategy and advanced AI engineering. Previously, I worked as a Data Scientist at Butterfl.ai, developing ML models and scalable architectures, and as an ALM & Risk Analyst in the financial sector — a foundation that gives me a strong understanding of high-stakes, data-sensitive environments. I stand out for my ability to turn complex AI technologies into concrete, privacy-focused solutions — from concept to production — using modern stacks like FastAPI, GCP, Docker, and Chainlit.

Available to hire

I’m an AI consultant and co-founder of PrivAI, where I help organizations design and deploy secure, multimodal AI solutions tailored to their data and compliance needs.

With a background in quantitative finance and hands-on experience in machine learning, LLMs, and Retrieval-Augmented Generation (RAG), I bridge the gap between business strategy and advanced AI engineering.

Previously, I worked as a Data Scientist at Butterfl.ai, developing ML models and scalable architectures, and as an ALM & Risk Analyst in the financial sector — a foundation that gives me a strong understanding of high-stakes, data-sensitive environments.

I stand out for my ability to turn complex AI technologies into concrete, privacy-focused solutions — from concept to production — using modern stacks like FastAPI, GCP, Docker, and Chainlit.

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