Moe Riz

I’m a Senior AI/ML Engineer and AI Architect with 8+ years of experience deploying enterprise Generative AI, RAG, and Agentic workflows across finance, healthcare, and SaaS. I focus on building scalable, multi-agent, and Voice AI platforms that improve customer experiences and automate high-impact workflows.

At Monte Carlo (11/2023–present), I architected Generative AI, Agentic AI, and Voice AI solutions, including enterprise RAG platforms with vector databases, hybrid search, and LLM orchestration. I built scalable AI Agents and multi-agent systems for autonomous task execution, workflow automation, reasoning, and tool integration, then established MLOps/LLMOps frameworks for deployment, monitoring, governance, and continuous optimization.

Previously, at phData (09/2021–10/2023), I designed and operationalized end-to-end machine learning platforms—from ingestion and feature engineering to training, deployment, monitoring, and retraining—while delivering predictive analytics, forecasting, recommendation systems, NLP, and deep learning solutions. Earlier at Very (05/2018–08/2021), I developed and deployed predictive analytics, recommendation, classification, and NLP models, pairing strong engineering discipline with hands-on leadership through code reviews, architecture guidance, and mentorship.