Pierre Vié

Hands on machine learning engineer with expertise in : - In-production LLM pipelines applied on ManoMano's catalog of products - Open source LLM finetuning / performance monitoring - Recommender systems, leveraging the power of text/image embeddings to build better search algorithm (Deep learning, Pytorch) - General machine learning algo dedicated to business needs (eg : leads predictions, time series...) Strong business acumen. Software engineering, CI/CD management, Clean coding, Project management. Ability to work with non tech people and make complex topics accessible to business owners.

Data science and analytics projects applied to ManoMano business teams (Executive steering comitee, digital marketing, operations, sourcing, customer service, seller's quality). Strong Expertise in causal inference studies and applied machine learning. Ability to compute causal impact of business decisions in many use cases (very useful when AB testing is not an option). Skills : Python, SQL, Machine Learning, Analytics, Causal inference, Forecasting, Growth, AI

Data-driven projects at key accounts to optimize their operational performance. Strong focus on logistics (warehousing, transportation) and supply chain planning (forecasts, stock optimization, distribution) Main sectors: industry, retail, e-commerce.