Henry Xiao

Agent BuilderData & AI CSE @IBM FSMAgentic CoE Tech Lead

I'm an AI engineer at IBM, focusing on agentic AI, enterprise data modernization, and the practical adoption of AI in financial services.

I also founded and scaled IBM Financial Service Market's IBM Bob Community Hub (Agentic Center of Excellence), bringing together engineers to develop 25+ reusable agentic patterns across 15+ IBM products and driving acceleration of AI adoption across 300+ practitioners in the market.

Alongside my work, I'm pursuing a Master of Science in Computer Science with a specialization in Artificial Intelligence at Georgia Tech.

This site is where I share what I'm learning: technical ideas, architectures, experiments, and perspectives on building AI systems.

Modular, open architecture that bridges agentic innovation with engineering rigor.

Henry Xiao

Focus Areas

Agentic AI Systems

Designing scalable agentic architectures that bridge innovation with engineering rigor. Building modular AI systems that solve real business problems while maintaining control, reproducibility, and explainability at scale.

Enterprise Data Modernization

Translating legacy data systems into modern, AI-ready platforms. Building a unified data layer that standardize metadata, lineage, permissions, quality, and business definitions. Leveraging agentic orchestration across ETL, streaming, and integration modes to accelerate data velocity and enable intelligent data operations.

Responsible AI & Governance

Establishing frameworks for ethical, sustainable, and governed AI implementation. Implementing human-in-the-loop approvals, guardrails, and standardized configurations that maintain transparency and accountability.

Organization AI Transformation

Building center of excellence, teams, and best practices to scale AI adoption.

Certificates & Awards

AI Product Manager Professional Certificate

IBM • February 6, 2026

Professional Certificate demonstrating proficiency in AI Product Management. Completed hands-on projects in guiding development processes, analysis, testing, and product launch.

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Client and Partner Success Award

IBM • 2025

Recognition for technical eminence and contribution to the broader technical community as a Data & AI engineer.

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Resume