Summary
Julian Cardonnet is a Generative AI Engineering Consultant with 11 years of experience delivering production-grade ML and NLP systems across finance, contact centers and heavy industry. He combines hands-on software architecture and coding skills with a track record of deploying privacy-preserving and scalable solutions— from federated learning at OpenMined to RAG-based domain chatbots and multimodal document pipelines at Arboria. Julian has repeatedly reduced operational cost and latency (including a 200x pipeline speedup) and built robust MLOps and search infrastructures for geo-redundant, high-availability services. He excels at marrying automation with human-in-the-loop processes, fine-tuning retrieval and embedding models, and operationalizing models under strict regulatory constraints. A lifelong learner based in Argentina, he blends pragmatic engineering with research-minded techniques to turn complex data problems into impactful, auditable solutions.
11 years of coding experience
13 years of employment as a software developer
Engineer's Degree Software Systems, Engineer's Degree Software Systems at Universidad Nacional del Centro de la Provincia de Buenos Aires
Spanish, English, Italian, Portuguese, German