This page reflects two directions I am actively shaping outside of my core academic profile: personal super intelligence and agentic AI infrastructure.
Personal Super Intelligence
Personal AI systems that become coherent, persistent instruments for one person's life.
I am interested in AI systems that do more than answer questions in chat. The longer-term direction is a personal computing environment where generated tools, interfaces, and agents share state over time and become usable instruments for reflection, planning, sensing, and day-to-day action.
This sits at the intersection of ubiquitous computing, personal informatics, context-aware systems, and AI-generated software. The goal is not a generic assistant, but a deeply personal system that can accumulate context, stay coherent across modules, and become more useful as it lives with the user.
Agentic AI Infrastructure
The systems layer that makes AI agents reliable enough to operate as software.
I build infrastructure for long-running agents: orchestration, tool use, operator controls, review loops, and developer-facing workflows. My interest is in the connective tissue that lets agents interact with tools, memory, and each other in ways that remain observable and controllable.
This is a systems problem, not just a prompting problem. The hard part is keeping agents stateful, composable, and operational over time, with interfaces that real developers can actually use.
More coming soon...