Austin, Texas, United States
I’ve spent 15+ years building software. The last 2+ years obsessively building and studying agentic AI systems. I believe agentic AI is the future of how enterprises actually work — not chatbots, not copilots, but systems that understand people and act on their behalf. That journey took me deep into agent runtimes, orchestration, evaluation frameworks, and the experience layer that makes AI feel human. Now as Director of Finance AI & Automation at AbbVie, I’m bringing all of that to one of the world’s largest biopharma companies. What I think about: agentic AI, emotionally intelligent systems, how enterprises actually adopt AI (not how they say they will), and why the experience layer matters more than the model layer.
I build AI systems that start with the person doing the work, not the technology behind it. Most AI implementations fail because they start with what’s impressive and try to find a use case. I work backwards — find the pain, understand the human, then build the system that makes their life easier. Currently leading AI automation and transformation in Finance at AbbVie. My background is in building agentic systems — agent runtimes, orchestration, evaluation frameworks. What I think about: agentic AI, emotionally intelligent systems, how enterprises actually adopt AI (not how they say they will), and why the experience layer matters more than the model layer.
Building an open-source framework for developers creating agentic UI applications with transparent state and full lifecycle observability. What Ellie solves: Most AI frameworks treat state as an afterthought. Developers can't see what agents are doing, can't debug failures, and can't maintain context across complex workflows. Key features: - Observable state architecture - every agent decision visible and debuggable in real-time - Plugin-based orchestration - middleware composition for tool chaining and LLM calls - Human-in-the-loop gates - approval workflows to prevent runaway costs - Context management system - first-class support for maintaining state across agent lifecycles - Full-stack integration - React components, state hooks, backend orchestration Technical stack: TypeScript, React, Node.js, Next.js, Redux patterns, OpenAI SDK
Bridging the gap between AI innovation and practical implementation. I educate, architect, and deliver AI solutions while leading developer relations for Civic Nexus, our MCP (Model Context Protocol) gateway that securely connects AI agents to enterprise data sources. - Deliver comprehensive AI education from "AI 101" fundamentals for business stakeholders to advanced MCP architecture for developers - Design and implement custom AI solutions using Civic Nexus to solve real client challenges - Transform complex AI concepts into accessible narratives - Guide enterprises through their AI journey - from understanding LLMs to deploying production agents
Working on implementing secure OAuth 2.0 and OpenID Connect (OIDC) flows to enable seamless, privacy-preserving authentication. This solution bridges the gap between decentralized identity verification and modern AI applications, ensuring secure context-aware authorization while maintaining user privacy. I worked on a MCP solution that addresses authentication and authorization using Civic Auth.
Responsible for designing decentralised apps using the blockchain. Smart contract and Full Stack development with a strong focus on decentralised identity.
Senior iOS Software Engineer for Britehouse Mobility contracted to work at Standard Bank on their iOS Banking Application. iOS Lead for the Transact Feature Team. Responsible for mobile payments, resulting in millions of rands of payments a week.
Brought on as a senior engineer and consultant for exceptional Javascript and mobile expertise. Helps lead the mobile division in both iOS and hybrid development. Responsible for delivering world-class UX experience as well as performant mobile applications.