Antoine Caille

AI Product Engineer

Salaire / Taux journalier

Paris, France

Freelance

À distance uniquement

Expertises

LLMs / Large language modelsData ScientistDéveloppeur FullstackProduct OwnerDockerDéveloppement FullstackSupabaseGitProduct OwnershipEngineering Manager

Langues

Français (Maternelle)Anglais (Courant)Espagnol

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.

Liens

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

Certifié par EKIMETRICS

Introduction to Corporate Finance

Délivré le : mai 2022

Certifié par Coursera

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