Alban Danet

Alban Danet

Full Stack Ai engineer

Get to Know Me

Designing Robust AI Solutions for Real-World Impact

I'm a passionate Generative AI Specialist with a strong background in building and deploying AI-powered systems that solve real-world problems. My mission is to help businesses harness the power of Generative AI through tailored, production-ready solutions.

From developing an autonomous weather alert system for fishermen in Madagascar to delivering cutting-edge AI solutions at Pernod Ricard, I bring technical expertise, strategic thinking, and hands-on execution to every project.

AI Projects Delivered

Years of Experience

Major AI Systems at Pernod Ricard

Client Focused

Resume

Generative AI Specialist with hands-on experience building production-ready AI solutions, from research-grade analysis to advanced multi-agent systems for industry.

Professional Summary

AI Specialist with strong expertise in LLMs, prompt engineering, multi-agent systems, and end-to-end pipeline design. Passionate about solving real-world challenges through robust AI solutions tailored to client needs.

Contact Information

Languages

  • English: C1 (TOEIC 930)
  • French: Native
  • Spanish: B1

Certifications

  • TensorFlow
  • Microsoft Azure
  • AWS

Professional Experience

AI Engineer Full Stack (M2 Internship)

Mar 2025 – Sep 2025

Pernod Ricard

  • Designed and deployed autonomous multi-agent systems to audit brand safety (DGP) across diverse media, with targeted scraping and intelligent detection.
  • Prototyped harmonization solutions for product naming using fuzzy matching, lightweight LLMs, advanced RAG, and human-in-the-loop validation.
  • Built a production-grade multimodal pipeline for analyzing ad content (image and audio extraction, generative AI processing, context enrichment via specialized agents).
  • Orchestrated robust workflows with dynamic batching, smart prompt management, retry strategies, and modular architecture for deployment.

Weather Alert System

Oct 2024

Association in Madagascar

  • Developed an autonomous weather alert system for local fishermen, integrating weather APIs, risk scoring, and SMS notifications via Twilio and Orange APIs.
  • Designed rule-based flag warning logic to improve safety and reduce maritime accidents.

Generative AI Engineer

Mar 2024 – Jul 2024

Falc’on (Startup)

  • Trained an AI model to convert complex texts into Easy-to-Read versions (FALC), with fine-tuning and RLHF optimization for clarity and compliance.
  • Delivered improved readability while adhering to accessibility standards.

Data Scientist (M1 Internship)

Nov 2023 – Mar 2024

IRMES Lab, INSEP & FFRS

  • Applied Elo-like scoring (ROL) to evaluate skateboarders' performance levels.
  • Performed novel analysis of age-performance curves using advanced models (Moore, IMAP) to determine peak performance ages.
  • Delivered actionable insights to coaches ahead of the Paris Olympics.
  • Leveraged generative AI tools for boosted productivity throughout the project.

Education

Engineering Degree in Data Engineering

2019 – 2025

EFREI Paris

Generalist engineering school with specialization in Data Science and AI. Courses included machine learning, generative AI, NLP, data engineering, cloud architecture, and software development.