IoT + Edge Interface
Move the ESP32-P4 remote node from validated local firmware into real Wi-Fi/MQTT integration with the Raspberry Pi controller.
Private Portfolio · U.S.-Remote Opportunity Focus
Federal HRIT · Transformation Delivery · Applied Technology
Then I learn the technology deeply enough to improve the system itself—from Federal SaaS delivery and workforce analytics to Raspberry Pi, ESP32, Python, and AI-assisted development.
Interactive Innovative Solution Designs
Each case study separates the operational problem, the designed response, and the real-world impact—or clearly labels work that is still in design.
Strongest cross-role evidence appears first.
Expanded Digital CV
Professional experience, role alignment, and credentials are separated from self-directed technical growth—so every claim is easy to evaluate.
Evidence-Based Capability Stack
Levels describe the kind of evidence available—not a made-up percentage. Market-priority tools are shown separately and never presented as hands-on experience.
This is a time-stamped sample of live or recently live postings—not a universal ranking. It informs emphasis; it does not convert exposure into experience.
Continuous Growth Hub
The pattern is consistent across federal work, code, hardware, analytics, and AI: make the unknown observable, then move it toward a reliable system.
Move the ESP32-P4 remote node from validated local firmware into real Wi-Fi/MQTT integration with the Raspberry Pi controller.
Turn a strong business-analytics foundation into demonstrable SQL + Power BI work with reproducible workforce and operations projects.
Build accurate foundational literacy in Workday, ServiceNow, Power Platform, and structured change methods without overstating access.
Design agent instructions, privacy boundaries, validation gates, and Git-based handoffs that make AI-assisted work reviewable.
The Through-Line