Cody Churchwell consigcody94

Cody Churchwell

Systems Architect & High-Performance Computing (HPC) Researcher
Founder & CTO at Sentinel Owl Technologies · Architect of Phosphor OS

Systems architect and computational researcher specializing in GPU kernel acceleration for operational weather and numerical physics models, distributed multi-agent architectures, and autonomous infrastructure.

00 · BENCHMARKS · 01 · GPU / HPC · 02 · CHALLENGES · 03 · PHOSPHOR OS · 04 · AI & AGENTS · 05 · RESEARCH · 06 · STACK

Note

Active Focus — GPU-accelerating operational NOAA Earth-system kernels on NVIDIA Blackwell (sm_120), engineering decentralized multi-agent consensus protocols, and operating enterprise compliance and cybersecurity platforms under the Sentinel Owl umbrella.

00 Benchmarks

Empirically validated performance metrics with reproduction evidence and open-source benchmarks.

16.8×  ──  WAVEWATCH III GPU speedup — first GPU parallelization of WW3 DIA
  33×  ──  Compression of RRTMGP gas optics via Tucker tensor decomposition
3.10×  ──  Verified speedup on rte-rrtmgp parallel prefix scan (CRTM 6/6 pass)
109 GB/s ── GSI ensemble memory throughput achieved in operational pipelines
   16  ──  Verified GPU kernels authored across 10+ NOAA open-source repos
7958+  ──  Combinatorial text structures resolved in 841-character palindrome matrix
    8  ──  Production enterprise software platforms unified under Phosphor OS

01 High-Performance Computing

Accelerating core operational atmospheric, oceanographic, and numerical weather prediction pipelines on modern GPU hardware.

`ww3-dia-gpu`

First GPU parallelization of the WAVEWATCH III Discrete Interaction Approximation (DIA) — the nonlinear wave-wave interaction term at the computational core of operational wave forecasting.

`parallel-prefix-rt`

3.10× verified speedup on rte-rrtmgp, 6/6 pass rate on CRTM radiative transfer benchmarks, and 109 GB/s memory throughput on GSI ensemble pipelines.

`tensor-compressed-kdist`

33× data compression of RRTMGP gas optics lookup tables via Tucker tensor decomposition — establishing high-fidelity memory-efficient atmospheric radiation transport.

`noaa-gpu-kernels`

16 verified CUDA kernels authored across 10+ NOAA repositories, complete with reproduction suites and hardware benchmarking on RTX 5070 (sm_120).

_{Ecosystem Work › noaa-gpu-bench reproducible, citable GPU benchmark database · noaa-oss-validation 40 verified findings, 31 issues, and 12 fix pull requests · metar-intelligence-platform real-time METAR ingestion and parsing platform for weather-station telemetry networks}

02 Engineering Challenges

Applied physics, aerospace dynamics, and mission-critical simulation systems.

`darpa-lift-challenge`

High-fidelity physics simulation and flight dynamics modeling for heavy-lift VTOL UAVs targeting extreme 4:1 payload-to-weight ratios under variable atmospheric conditions.

`lunarecycle`

Computational system architecture and material conversion models for the NASA LunaRecycle Challenge, engineering closed-loop solid waste processing on lunar surface missions.

`bountygrid`

Geospatial coordination engine and graph-based entity correlation platform designed for high-stakes fugitive manhunt and tactical intelligence operations.

`ai-energy-grid`

Three calibrated energy models evaluating power grid equilibrium, renewable generation intermittency, and dynamic market-clearing algorithms under peak load demand.

03 Phosphor OS

Enterprise software ecosystem unified under a single architecture. Founded through Sentinel Owl Technologies.

Each platform operates as an independent production application with dedicated CI/CD pipelines, modern infrastructure, and cross-platform integrations.

OWL _{Enterprise document intelligence — 3.5M+ pages indexed, cross-referenced entity extraction, and semantic graph search.}	SENTINEL _{AI-assisted penetration testing, vulnerability discovery, and automated security posture management.}	OPSPULSE _{Autonomous IT operations command center — real-time monitoring, anomaly alerts, and incident triage.}
SITEFORGE _{High-velocity, performant web platforms and automated deployment engines for small enterprises.}	MOLTENLY _{Omnichannel content transformation pipeline adapting single source assets into 12 targeted channel formats.}	SHIELDSYNC _{Continuous compliance automation engine streamlining SOC 2, HIPAA, and CMMC audit readiness.}
AGENTBOX _{Declarative runtime and orchestration platform for deterministic, production-grade AI agent workflows.}	SMARTVALUE _{Intelligent edge telemetry and analytics platform for real-time asset evaluation and monitoring.}	_{↳ Unified Protocol → phosphor-os.org}

04 AI & Agent Infrastructure

Multi-agent orchestration protocols, Model Context Protocol (MCP) tooling, and neural architecture research.

Project	Description	Architecture
`sanhedrin`	Decentralized multi-agent consensus and coordination protocol (A2A Protocol) governing multi-LLM deliberations and task execution.	TypeScript / Multi-Agent
`mcp-toolkit`	Monorepo containing 25+ Model Context Protocol (MCP) servers providing tool execution, file access, and cloud APIs to AI agents.	Node.js / MCP Protocol
`pythia-mcp`	High-throughput MCP server providing semantic context routing and deep query reasoning for LLMs.	Python / FastMCP
`wordpress-mcp-modern`	Modern, production-grade WordPress MCP server featuring 63 tools, 5 resources, JWT authentication, and Application Passwords.	TypeScript / REST APIs
`claude-self-study`	Technical deep-dive into transformer mechanics, attention layers, and emergent model capabilities across 34 structured investigations.	Technical Analysis
`battleship-arena`	Real-time 3D simulation pitting autonomous AI models against each other in strategic, probabilistic naval combat.	WebGL / Agent Arena