My background is in making technology reliable. I also build tools that turn open questions into explicit models, tests, and evidence—without hiding the limits.
I work from operations outward: understand the constraints, make the system dependable, then improve the way people interact with it.
That foundation comes from IT systems, endpoint administration, identity and access, troubleshooting, and project delivery. Independent software and research experiments are where I use the same discipline to explore less-settled questions.
field loop / repeat as needed
01observe
02model
03test
04refine
SELECTED PROJECTS / FOUR FILES
Built artifacts, honest boundaries.
Status labels are part of the work—not fine print.
p. 03
A selected set of computational tools and research prototypes. Each card separates what exists in code from what still needs stronger evidence.
FILE / 01Stage 7 — conditional proceed
Coldplate Design Engine
A stage-gated computational pipeline exploring TPMS-inspired liquid coldplates, inverse design, and bounded thermal, flow, and manufacturability screening.
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Boundary: Simulation and analytical screening only; real-geometry manufacturability remains unconfirmed, with no fabricated prototype or hardware validation.
An exploratory artifact for generating porous microstructures and comparing morphology, flow, and thermal simulation metrics with engineering baselines.
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Boundary: Simulation and proxy evidence only; no physical testing or biological validation against cellular xylem imagery.
A spec-driven pipeline for representing and comparing vortex and clock topological defects in 2D spin-system simulations using schema-validated token streams.
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Boundary: Map-mode is synthetic-first; real experimental map integration and cross-producer confidence calibration are not implemented.
I’m interested in computational methods that keep provenance, assumptions, and stopping conditions visible. The goal is not to make early evidence sound final. It is to make the next test worth running.
Current scope: computational, synthetic, and proxy evidence.
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Physics-guided design
Screening candidate geometries within explicit fidelity bounds.
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Topological descriptions
Machine-readable summaries that preserve source and context.
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Nature-inspired structures
Biological ideas as prompts for exploration, not proof of performance.
EXPERIENCE / OPERATIONS LOG
Make it work. Make it legible.
Professional systems work grounds the experiments.
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My professional work centers on dependable technology operations and clear delivery.
Past roles include Information Technology Specialist at Harmony Public Schools and Project Manager at Neo Home Automation. I keep the summary here intentionally concise; LinkedIn holds the fuller public history.