Service Overview
I provide data modeling for complex systems where information must remain accurate, coherent, and usable over time. This work underpins large-scale institutional databases, entertainment production pipelines, real-time interactive applications, and long-lived digital archives.
Data modeling is not about individual tables or schemas in isolation. It defines how meaning, relationships, and structure are encoded so that systems can evolve without breaking their core logic.
Foundational Data Architecture
My work focuses on building foundational data structures that can support growth, change, and reuse. These models often sit beneath multiple interfaces, tools, and platforms, serving as the canonical source of truth for a project or organization.
Institutional and Gallery Databases
I have designed data models for large-scale gallery and institutional databases used for cataloging, archival management, and public-facing web display. These systems must balance scholarly precision with practical usability, often supporting thousands of records across artworks, exhibitions, publications, and related historical data.
Accuracy, consistency, and long-term maintainability are essential, particularly where data functions as a cultural record rather than disposable application state.
Entertainment and Production Systems
Beyond institutional contexts, I have developed data models for entertainment production and tooling, where systems must support iteration, collaboration, and complex asset relationships under real production constraints.
Real-Time and Interactive Data
This includes data modeling for real-time interactive applications and multiplayer server infrastructure, where performance, synchronization, and reliability are critical. In these environments, data structures must support live state changes while remaining predictable and debuggable.
Poor data modeling in real-time systems quickly results in instability. My approach emphasizes clarity, explicit relationships, and structures that can be reasoned about under load.
Long-Lived Cultural Data
A significant portion of my work involves long-lived cultural data, including innovation in digital catalogue raisonné systems and archival data artifacts. These projects require models that can survive decades of expansion, reinterpretation, and technological change.
Durability Over Presentation
In these contexts, data is intentionally separated from presentation. The same underlying model may drive websites, publications, internal tools, and future platforms that do not yet exist.
The goal is structural durability—ensuring that changes in design, interface, or technology do not require reauthoring or corrupting the underlying data.
Modeling for Change
Effective data modeling anticipates change rather than resisting it. My approach emphasizes extensibility, clear boundaries, and explicit semantics so that systems can adapt without accumulating structural debt.
This includes designing for versioning, partial data, evolving relationships, and the realities of imperfect or incomplete information.
Position Within My Practice
Data modeling is a core structural discipline within my broader systems and production work. It connects directly to software architecture, tooling design, visual systems, and long-term project sustainability.
This service is most valuable in projects where data is not incidental, but foundational—where the integrity of information determines the success, longevity, and credibility of the entire system.
