Oregon State physics graduate whose interests span AI dev, cosmology, tech, mechanics, and generally being as curious as possible.
Vehicle-level restoration of a non-running 1982 Datsun 280ZX to full driving condition. Diagnosed integrated electrical, fuel injection, ECU-controlled sensor, vacuum, cooling, and drivability issues using factory wiring schematics, multimeter testing, and first-principles troubleshooting.
SystemVerilog and electronics work using a DE10-Lite FPGA, including VGA timing logic, horizontal/vertical sync generation, RGB control circuitry. Currently tinkering with controlling an OLED display with FPGA logic.
Persistent memory layer for AI agents, grounded in Ebbinghaus retention mathematics. Cross-session memory, automated formation triggers, semantic retrieval, and git-style branching in one MCP server, one engram file, and five host clients.
Modeled supermassive binary black holes as tracers of the underlying cosmological dark matter distribution. Written from the ground up in Python, using CLASS and ΛCDM cosmology to create dark matter distribution realizations for SMBHB placement.
Multi-tenant AI voice agent platform for local service businesses. Captures missed calls, qualifies leads conversationally, and delivers structured summaries in real time. Webhook-driven async pipeline with HMAC auth and idempotent state transitions.
Visualization framework for the gravitational wave background from supermassive binary black hole systems, as observed by Pulsar Timing Arrays. Presented at IPTA 2024.
Designed and deployed a GPU cluster for the HazGrav research group at Oregon State. Linux environments, conda dependency management, and Ray-based distributed workflows for parallelized cosmological simulations.
I graduated from Oregon State in 2024 with a B.S. in Physics and a minor in computer science and mathematics.
My work now sits at the intersection of physics, software, and physical systems. I tinker with AI tools, but I also like physical electronics: sensors, diagnostics, test equipment, mechanical systems, and electromechanical systems. The common thread is system behavior. Whether I am debugging an AI memory layer, modeling cosmological structure, deploying a GPU cluster, or restoring a vehicle-level electrical system, I like understanding how systems work.
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