Architectures for intelligent systems
How memory, retrieval, planning, tools, feedback, control, and model orchestration can be composed into reliable AI systems.
Research
Research
Questions, systems, and technical themes I am actively exploring.
Artificial intelligence
Human–machine cognition
Interfaces and computational structures that extend human reasoning, synthesis, search, and decision-making.
Knowledge representation
Structured representations that connect text, data, graphs, models, and software into systems that can be queried and acted upon.
Systems
Software architecture
Modular system design, interfaces, reusable components, service boundaries, state, control flow, and operational reliability.
Data infrastructure
Ingestion, transformation, storage, reference data, analytics, observability, and the movement of information through organizations.
Computational infrastructure
Cloud systems, containers, distributed workloads, orchestration, and the boundary between software and physical compute.
Markets & institutions
Markets as computation
Price formation, incentives, exchange, risk, and market structure understood as information-processing mechanisms.
Financial systems
Transaction systems, analytical infrastructure, market monitoring, valuation frameworks, and decision-support systems.
Research method
I treat research as a cycle of specification, representation, implementation, measurement, and revision. Ideas are most useful when they can be translated into models, software, experiments, or operational systems.