Freelancer profile translated to English.

Description

Have a project in mind? An idea to bring to life? Let's discuss!

I offer afree initial callto assess your project's feasibility together and clearly define your needs.

A little about me:

My name is Maxence, and I am an AI & ML Engineer with over 10 years of experience.

I have designed and deployed numerous high-impact data and web products, both in startups and large corporations.

Notably at Levi's, where I led a team of 30+ engineers on projects generating over $10M in annual upsell.

Today, I support companies and startups in creating tailor-made solutions:

- AI: Agents, RAG Systems, Recommendation Engines, Workflow Automation, Vector Search

- Web: Websites (Wordpress, Framer, Shopify) and SaaS platforms

I master the entire product cycle, from idea to deployment, with a strong focus on:

- Business impact

- Scalability

- Technical quality

Feel free to contact me, I'd be delighted to discuss it with you!

Industry field of expertise

Languages

English
Native or bilingual
Spanish
Conversational
French
Native or bilingual

Workplace preferences

Can work on-site

Paris (up to 50km)

Showcase Books
CTO
PUBLISHING
September 2023 - Today (2 years and 11 months)
Paris, France
Development of a vector-based book recommendation system using embeddings and a vector database. Deployed for a major French publisher, this system powers a live website that has generated tens of thousands of visits since its launch, enhancing reader engagement and facilitating the discovery of new works.
Design of AI agents to automate critical business workflows (content planning, customer communication, reporting), enabling a 30% reduction in manual tasks and operational costs.
Creation of a SaaS platform (Node.js, React) for publishers to launch influencer marketing campaigns. The solution enabled the onboarding of dozens of creators and publishers, optimizing the ROI of their campaigns.
Implementation of a RAG (Retrieval-Augmented Generation) system to centralize internal documentation and knowledge, allowing the team to instantly access procedures, customer data, and content. Result: significant gains in onboarding time and support efficiency.
Development of a semantic search engine on large-scale publisher catalogs, based on a vector database, offering real-time search based on meaning. This has considerably improved the relevance of results and user experience, for both publishers and readers.
Design and deployment of custom Shopify stores for brands and influencers, with strong personalization of the user experience.
Vector Database React n8n Langchain
Levi Strauss & Co.
Global Data Science Manager
FASHION AND COSMETICS
July 2020 - September 2023 (3 years and 2 months)
Paris, France
Development and deployment of AI models for global price and promotion optimization. These models analyzed sales, inventory, seasonality, and consumer behavior to recommend optimal discount levels and timings. Result: over $10 million in additional annual profit, with significant improvement in margins and sell-through rates by region.
Leadership of a distributed international data science team of over 30 engineers and analysts. Responsible for the end-to-end delivery of machine learning products, from research to production. Oversaw agile planning, architecture reviews, model governance, and alignment with global stakeholders.
Design and industrialization of demand forecasting models, combining time series, external signals, and inventory data. These forecasts supported strategic planning, assortment optimization, and large-scale logistics decisions.
Implementation of standardized MLOps practices and model performance monitoring pipelines, ensuring reliable, reproducible, and scalable deployments for all predictive systems.
Close collaboration with business teams (merchandising, planning, pricing, finance) to ensure adoption and measurable value creation from data-driven tools. This integration enabled the transformation of AI insights into concrete strategies across multiple departments.
Training and mentoring of junior data scientists, fostering knowledge sharing and skill development within the global team. Active participation in recruitment and onboarding to support organizational scaling.
Machine Learning Artificial Intelligence Python Team Management
Publicis Sapient
Lead Data Scientist
CONSULTING AND AUDITS
May 2017 - July 2020 (3 years and 2 months)
Paris Metropolitan Area, France
Design of a personalized recommendation system for a major French e-commerce platform, based on a hybrid approach combining Singular Value Decomposition (SVD), association rules (Arules), implicit collaborative filtering, and contextual multi-armed bandits. Result: significant improvement in product discovery and conversion rates through tailored recommendations.
Development of an NLP proof of concept for automatic text summarization, using TensorFlow, word2vec embeddings, and seq2seq architectures, demonstrating the potential of deep learning for content automation.
Creation of a spam detection model on Twitter data using a multinomial Naive Bayes classifier, enabling real-time filtering of irrelevant content and improving sentiment analysis pipelines.
Optimization of an LDA (Latent Dirichlet Allocation) algorithm for large-scale key topic extraction from social media data, providing actionable insights into customer sentiment and brand perception.
Conducted cross-visitation analysis to measure audience overlap and competition between retail brands. Utilized AWS, Hive, and Spark to process vast volumes of browsing data, providing clients with strategic insights for positioning and targeting.
Led a computer vision analysis project aimed at extracting insights from social media images, identifying trends and patterns in user-generated content to guide marketing and product decisions.
Designed interactive data visualizations using Tableau, Pyplot, and D3.js, to make model results more accessible and help stakeholders identify hidden trends in the data.
Recommender Systems NLP Tableau Software Dashboard Data Engineering