CIO · Senior Software Engineer · Systems Architect

Practical systems for automation, resilience, data, and communication.

I build and operate software and infrastructure where reliability, clarity, and operational usefulness matter. My work spans forecasting platforms, resilient communications, emergency alerting, mobile apps, embedded Linux, networking, automation, and evidence-backed AI.

Explore systems work Rodney publishes applied AI work on evidence, retrieval, governed automation, and operational intelligence at rodneyherrmann.ai.

30+ yearsExecutive technical leadership across software, data, automation, infrastructure, and operations.

Systems architecturePractical platforms built around reliability, maintainability, field use, and clear operating boundaries.

AI and forecastingPredictive analytics, machine learning, reporting, evidence-backed AI, and decision-support systems.

Resilient communicationsEmergency systems, alerting, datacasting, networking, and communications work where delivery matters.

Edge and automationEmbedded Linux, mobile systems, operational tooling, documentation, and safe incremental automation.

Goal-driven engineering breadth

I work across business process, infrastructure, software delivery, data, communications, and field operations. The common thread is building systems that reduce friction, surface the right information, and keep working under pressure.

Operator mindset

Deterministic, maintainable architectures
Safe incremental automation
Operational simplicity
Documentation that preserves context

Software and platforms

Full-stack and systems work across .NET/C#, Python, C++, Java, Swift, React, Node.js, MariaDB, mobile, and embedded Linux.

Data and forecasting

Applied analytics, ML forecasting, operational reporting, anomaly detection, and decision support systems.

Communications and infrastructure

Networking, alerting, emergency communications, datacasting, SDR, resilient delivery, and automation.

Recent writing

Datacasting as an alternate transportHow broadcast data delivery fits into resilient, transport-aware systems.Practical systems beat perfect diagramsWhy architecture has to survive real operators, real networks, and real failure modes.The danger is not that AI sounds wrong. The danger is that it sounds right.An AI Lab article on evidence, verification, and human judgment around fluent AI output.

Read articles Read AI Lab articles

Systems work as a connected operating layer

Clean interfaces, reliable data, field-ready software, and resilient infrastructure work best when they are designed as one adaptive system.

OperateInfrastructure, networks, alerting, and field workflows.

IntegrateSoftware, data, mobile, embedded, and business process.

ImproveAutomation, forecasting, documentation, and decision support.