
Antoine Caille
AI Product Engineer
Salaire / Taux journalier
Paris, France
Freelance
À distance uniquement
Expertises
Langues
À propos
Introduction
AI Product Engineer specializing in multi-agent systems and human-AI interfaces with full-stack expertise. Currently leading product direction and frontend engineering for an offensive-security platform, building production AI agents on Google ADK with MCP integrations. Bring proven experience in ML modeling, data pipelines, and deploying scalable services on Kubernetes—ready to translate complex AI capabilities into trustable, production-ready products.
Expérience de travail
AI Product Engineer
FuzzingLabs
mars 2024 - Présent
2 ans 8 mois
Paris, France
• Own product direction and lead frontend engineering (Next.js, TypeScript) for a multi-agent offensive-security platform, from the core application to real-time agent-analysis interfaces. • Design the human-AI interface where security teams collaborate with autonomous agents, translating orchestrator-to-specialist delegation and multi-step reasoning into clean, trustable UX. • Build production AI agents on Google ADK with MCP tool integrations and A2A inter-agent protocols, wiring backend orchestration directly into the product surface. • Designed and shipped the public marketing site, positioning the product and its agentic use cases to the security market. • Previously built the platform's early infrastructure (RAG pipelines, Rust backend services, Docker/Kubernetes deployments) before moving full-time to product and agent development.
Data Scientist
LittleBigCode
déc. 2023 - mars 2024
4 mois
Neuilly-sur-Seine, France
• Built a sales-forecasting POC end-to-end using XGBoost, from training pipeline to interpretability analysis, surfacing the key drivers behind sales variation. • Contributed to an RFP response on data transformation, translating business needs into technical scoping and a concrete analytical approach.
Ekimetrics
févr. 2022 - déc. 2023
1 an 11 mois
Paris, France
Data Scientist Consultant
août 2022 - déc. 2023
1 an 5 mois
Paris, France
• Built ML models (Marketing Mix Modeling, clustering) for 4 enterprise clients across banking, insurance, and QSR, to guide their marketing-investment decisions. • Built Databricks pipelines on Azure Data Lake to process large client datasets for modeling and reporting. • Conducted exploratory and ad-hoc data analyses on client marketing and sales data (Python, pandas, Tableau), informing both model design and client recommendations. • Mentored a junior consultant and presented findings directly to client stakeholders, translating technical output into business recommendations.
Data Scientist
févr. 2022 - juil. 2022
6 mois
Paris, France
• Onboarded on MMM methodology and contributed to client engagements under senior consultants; converted to a permanent Data Scientist Consultant role at the end of the internship.
Software Engineer
numberly (1000mercis Group)
sept. 2020 - mars 2021
7 mois
Paris, France
• Built a FastAPI service that auto-generated custom backends for client marketing-campaign websites. • Built an email-engagement tracking pipeline over Kafka and PostgreSQL to capture and store campaign metrics. • Deployed services on Azure Kubernetes with Grafana monitoring for runtime observability.
Web Developer
Syndex
sept. 2018 - janv. 2019
5 mois
Paris, France
• Built an internal web app (PHP, SQL, JavaScript) to manage IT equipment orders and internal service tickets. • Migrated the firm's legacy databases and codebase off physical servers to modern infrastructure.
Formation
EPITA: Ecole d'Ingénieurs en Informatique
Engineer's degree, Computer Engineering
2016 - 2022
6 ans
• 𝗠𝗮𝗷𝗼𝗿 𝗶𝗻 𝗔𝗜 𝗮𝗻𝗱 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 : Machine Learning & Deep Learning, Big Data, Statistics, Data Engineering. • 𝗠𝗶𝗻𝗼𝗿 𝗶𝗻 𝗙𝗶𝗻𝗮𝗻𝗰𝗲 : Mathematics and Market Finance, Financial Products, Market Risks.
Dorset College Dublin
Bachelor's degree, Computer Science
2019 - 2019
7 mois
Exchange undergraduate semester in Dublin, Ireland. • 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 : Algorithms, Data Structures, Backend & Frontend Web Development, English.
Lycée Paul Duez
High School Diploma, Scientific section
2014 - 2016
1 an 11 mois
Licences et certifications
Climate School - Part 1 Understand
Délivré le : janv. 2023
Introduction to Corporate Finance
Délivré le : mai 2022