About Angie Vianey Ariza Pardo
Angie Ariza is an accomplished AI Tech Lead and Data Scientist, currently serving as Lead Artificial Intelligence Developer at Plus Company in Montreal. She specializes in architecting and implementing end-to-end machine learning solutions and distributed AI systems at enterprise scale, with expertise in modern Python, scalable API frameworks, MLOps, and generative AI models. Angie leads collaborative AI projects, optimizes high-performance pipelines, and has hands-on experience in Retrieval-Augmented Generation (RAG), Google Gemini, BigQuery, MongoDB, and Docker-based deployments.
Session
Smart Persona: Accelerating Consumer Insights with Synthetic Personas
The Atrium (2:45 AM - 3:30 PM)
Modern AI applications require robust, reliable architectures. This session explores Agentic Retrieval Augmented Generation (RAG) and the power of multi-node design patterns to enhance large language model performance. We use a synthetic persona system as a complex case study to illustrate these concepts. The focus will be on the technical methodology: how to utilize specialized agents for functions like knowledge retrieval, trait modeling, and response generation. Attendees will gain a deep understanding of the implementation strategies, orchestration frameworks, and best practices essential for building and maintaining highly consistent, multi-node RAG solutions in any industry.