Computational Scientist · Systems Engineer · Builder of Cognitive Infrastructure

I design computational systems, simulations, and developer tools that transform high-dimensional complexity into durable, usable infrastructure.
_{Often operating at the boundary of physics, machine learning, and reasoning systems.}

Designing infrastructure for reasoning-intensive systems.

• Cognitive infrastructure for AI workflows
• Externalized reasoning and persistent memory
• CLI-first developer environments
• Large-scale simulation and emergent behavior
• Systems where software directly shapes decision-making

Systems for externalizing, persisting, and traversing human–AI reasoning.
_{Thinking — but it doesn’t evaporate.}

FUR · Yggdrasil · Elaine · Membrane

FUR — Local-first persistent memory for AI conversations and reasoning traces.
Yggdrasil — Deterministic project flattener and diff engine that converts codebases into AI-ready cognitive artifacts.
Elaine — Opinionated reference manager designed for TeX-based research workflows.
Membrane — Minimal file-based memory system for durable knowledge representation.

Together, these systems explore a foundational question:

What if reasoning were treated as infrastructure rather than exhaust?

Kodomata is a real-time automata-based simulation environment for studying decentralized agents, local interaction rules, and emergent structure in continuous space.

It models large populations of autonomous voxel agents with internal state and rule-driven dynamics, producing clustering, collective motion, and self-organized spatial patterns under real-time constraints.

Core capabilities

• Autonomous 3D agents with internal state
• Local interaction models (neighborhood sensing, avoidance, energy dynamics)
• Spatial hashing and BVH acceleration
• Architected for agent-based modeling, digital life, and emergent computation

🔗 Live Preview: https://kodomata.vercel.app

Alongside research-grade systems, I selectively design and deploy production platforms for organizations where software directly influences revenue, operations, or decision velocity.

Recent work includes architecting and launching a commerce platform with integrated payments, inventory flow, and operational tooling — built end-to-end to function as business infrastructure rather than just a website.

I approach applied systems with the same principles as research environments:

• clarity over cleverness
• reliability over novelty
• leverage over ornament

Because software is most valuable when it quietly becomes part of how a business breathes.

I focus on building original computational frameworks rather than assembling off-the-shelf stacks.

My systems favor:

• determinism over opacity
• traceability over magic
• durability over trend
• tools that think with humans, not around them

The goal is simple:

Make hard things explicit.
Make reasoning legible.
Build systems that endure.

I collaborate with researchers, engineers, founders, and technical organizations working on problems that require structural depth rather than surface solutions.

Common intersections include:

• scientific and engineering software
• reasoning-aware infrastructure
• simulation platforms
• procedural and agent-based systems
• developer tooling
• high-leverage applied platforms

If you are building something ambitious and need a systems-level partner, we will likely get along.