Summary
Alan Braz is a lead Generative AI systems architect and engineering leader with 11+ years at IBM, combining deep research experience from IBM Research (Yorktown Heights) with hands-on delivery of cloud-native, scalable GenAI solutions across multi-cloud and OpenShift environments. He specializes in LLMs, RAG, AI agents, and inference/validation pipelines, translating research prototypes into secure, production-grade SaaS and platform offerings while shaping regional best practices and mentoring engineering teams. Alan holds a Master’s in Computer Science from UNICAMP, is named on 15 patents and 18 publications, and has driven productization efforts that led to new IBM offerings and commercial partnerships. Outside of client work he hosts PullreCast, builds an open-source-flavored AI agent for the community, and teaches AI leadership—demonstrating a rare mix of researcher rigor, pragmatic architecture, and public-facing advocacy for responsible, enterprise-grade AI.
11 years of coding experience