Pauline Clavelloux is a data science manager and consultant at IBM, where she has worked for eight years across machine learning and data science projects. Her hands-on work includes production machine learning systems such as money-laundering detection, and she has built broad technical experience across GCP, data engineering, and web development.

Alongside her corporate role, Pauline is an active indie hacker building products in crypto and generative AI. Her projects include Cryptopy, a crypto alerts tool, and UnrealMe, an application that turns a few selfies into stylized AI-generated portraits inspired by DreamBooth. She has taken these side projects end to end: validating ideas, choosing a stack between API fine-tuning and self-hosted GPUs, handling company setup, payments, and legal, and launching through Twitter and niche listings.

Pauline shares what she learns about bootstrapping, pricing, marketing, and splitting time between a full-time job and side projects, offering a practical roadmap for data scientists who want to ship products of their own.