AI System Design: From Prototype to Production
Exploring the shift from static code to stochastic systems—focusing on LLM orchestration, vector databases, and the infrastructure required to support real-time AI inference at scale.
I regularly speak at conferences, meetups, and on podcasts about software architecture, engineering practices, and technical leadership. Here's a collection of my talks and presentations.
4 talks · 1 conferences
Exploring the shift from static code to stochastic systems—focusing on LLM orchestration, vector databases, and the infrastructure required to support real-time AI inference at scale.
An internal mini-webinar for cross-functional teams exploring the lifecycle of digital products—focusing on product-market fit, unit economics, and the 'North Star' metric framework.
A hands-on workshop focused on the transition from 'drawing screens' to building scalable design languages—covering design tokens, accessibility-first workflows, and the developer-designer handoff.
A deep dive into the architecture of high-scale distributed systems—focusing on decoupling, data consistency models, and navigating the trade-offs of the CAP theorem.