Summary
Adrien Mogenet is an AI and engineering leader with 16 years of experience building large-scale, decision-driven systems and teams across marketplaces, adtech, and analytics. As head of Decision Engineering at Indeed he designs AI platforms, RAG pipelines and operational decision systems that have driven double-digit cost reductions and broad internal adoption of LLM tooling. His background spans recommender systems, information retrieval, distributed systems and foundational CS problems—from low-latency NLP indexing at the French Ministry of Defence to streaming ML pipelines at ContentSquare. Adrien combines hands-on technical depth (Spark, Kafka, large-scale ML, NUMA/GC tuning) with board-level strategy as CEO/advisor and Non-Executive Director supporting regional digital growth. He’s writing a book, “Unpractical Decisions,” that explores why hard choices persist, reflecting his interest in making organizational decision-making both principled and practical. Always open to C-level or board opportunities, he thrives on translating complex AI research into reliable, operational impact.
16 years of coding experience
8 years of employment as a software developer
Master of Science (MSc), Computer Science, Master of Science (MSc), Computer Science at EPITA: Ecole d'Ingénieurs en Informatique
French, English, German