Private Portfolio · U.S.-Remote Opportunity Focus

Federal HRIT · Transformation Delivery · Applied Technology

I turn complex workflows into systems people can actually use.

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.

2Business Degrees
FederalHRIT + Delivery Context
2,003/2,003Clean Firmware Build Tasks
Trace the requirement◆Reduce the friction◆Test the assumption◆Document the decision◆Design for adoption◆Keep learning

Interactive Innovative Solution Designs

Projects built where operations meet technology.

Each case study separates the operational problem, the designed response, and the real-world impact—or clearly labels work that is still in design.

Active Role Lens Recruiter Overview

Strongest cross-role evidence appears first.

Expanded Digital CV

A career built around making complex work move.

Professional experience, role alignment, and credentials are separated from self-directed technical growth—so every claim is easy to evaluate.

Evidence-Based Capability Stack

Experience levels without the résumé theater.

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.

Professional repeated workplace use Applied real project output Building active hands-on learning Next market-priority target
Current Opportunity Evidence · Reviewed September 2026Why These Capabilities Are Prioritized Open Evidence

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

Learning is treated like delivery: scoped, tested, documented.

The pattern is consistent across federal work, code, hardware, analytics, and AI: make the unknown observable, then move it toward a reliable system.

NOW / 01

IoT + Edge Interface

Move the ESP32-P4 remote node from validated local firmware into real Wi-Fi/MQTT integration with the Raspberry Pi controller.

Current evidence: firmware, display, touch, clean build, Git workflow
NEXT / 02

Analytics Depth

Turn a strong business-analytics foundation into demonstrable SQL + Power BI work with reproducible workforce and operations projects.

Target evidence: portfolio dataset, model, dashboard, decision narrative
NEXT / 03

Enterprise Adoption Platforms

Build accurate foundational literacy in Workday, ServiceNow, Power Platform, and structured change methods without overstating access.

Target evidence: labs, certifications, process maps, adoption playbook
ALWAYS / 04

AI as a Governed Coworker

Design agent instructions, privacy boundaries, validation gates, and Git-based handoffs that make AI-assisted work reviewable.

Current evidence: Codex/GitHub workflows, form-validation architecture, schema planning

The Through-Line

Give me an ambiguous system. I’ll make the work visible, the decisions traceable, and the next improvement possible.