AI systems · full stack · interactive media

I build AI systems that remember worlds—and turn them into experiences.

AI systems architect and full-stack engineer in Boulder. I build persistent world infrastructure, downloadable agent runtimes, and multimodal pipelines that turn roleplay into reference-grounded animated scenes.

100+merged Marinara pull requests
API 1.3downloadable capability runtime
World Mapspersistent shared spatial state
StoryboardRoleplay + Game media orchestration
Featured engineering

Systems, not demos.

I focus on the boundaries that make AI products reliable: state, orchestration, multimodal grounding, recoverability, and interfaces people can actually use.

Multimodal

Reference-grounded storyboards

Story planning, character/location references, generated keyframes, image-aware motion grounding, and local I2V rendering in one editable pipeline.

World systems

World Maps

Reusable worlds, artwork, lore links, route planning, portable imports, history-safe edits, and one authoritative location state.

Local AI

Model + GPU experimentation

Local language and video models, provider-aware ComfyUI workflows, latency/VRAM tradeoffs, and practical deployment on consumer/pro GPUs.

Other work

Projects with range.

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AI / VR learning

School of the Ancients

Voice-driven Socratic learning with AI historical mentors across web and VR.

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Automation

AI Radar

Automated RSS + LLM research/news pipeline publishing a concise daily AI brief.

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Experimental web

thetopham.com

The other side of the portfolio: a Matrix-inspired personal playground for AI, futurism, and experiments.

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Matthew Topham
About

Computer science, AI systems, and imaginative infrastructure.

I’m a computer science student and engineer interested in the point where software architecture, AI agents, persistent worlds, mixed reality, and generative media start becoming one medium.

Resume & experience →