I sit with the people living the problem, find what already solves it or build what does not exist yet, then implement it and show the evidence. Three projects below show it end to end.
Seven years at Verizon: technical discovery and solution evaluation for a platform transition, the business case that won stakeholder approval, and 30 managers trained through the rollout.
A machine learning platform taken from requirements to running service in Python, Django, PostgreSQL, TensorFlow, Docker, and AWS.
Containerized for reproducible environments, with automated build and deploy, credentials externalized, and every record scoped to the user who owns it.
spauleyinthecloud@gmail.comEach case study opens with a quick summary, then goes deep on the architecture, the decisions, and the results.
AI wellness platform · Django, TensorFlow, AWS
Burnout usually gets identified after someone has already checked out or quit. UnruffledAI predicts it early from behavioral data and shows its reasoning, so the person can act on it.
Multi-Agent Systems and API Integration
Designed an 11-role AI workflow framework and integrated n8n, FastAPI, Oracle, and vidIQ MCP. Recovered and validated 20 keyword opportunities plus 10 Shorts outliers without repeating paid API calls.
Research and approvals are live. Strategy handoff is in validation.
PHP and MySQL application, containerized with Docker
Companies lose money on hardware and licenses they cannot account for, and they fail audits over it. Snipe-IT tracks all of it, and I stood up a working instance.
My implementation of the open-source Snipe-IT platform by Grokability (AGPL-3.0).
One judgment call from each project, and what it made possible.
Traced duplicate predictions to their cause, added submission controls, and re-validated every risk tier, so no user ever saw the problem.
Read the case study →Found where valid data changed shape, fixed the handling, and added a replay that recovers saved research with no new paid calls.
Read the case study →Containerized the application so the environment repeats on any machine instead of being recreated by hand.
Read the case study →Social Media Customer Solutions Specialist, 2018 to 2025. Every part of the role built a skill I use to design and deliver AI solutions.
Led discovery for a collaboration-platform transition: gathered user pain points, researched alternatives, and validated feasibility with cybersecurity and technical teams.
NowI turn user needs into requirements, user stories, and acceptance criteria, as on UnruffledAI.
Built the business case for adopting Slack and earned stakeholder approval, then trained 30 managers and supported them through a smooth transition.
NowI explain systems clearly. Each project I build comes with a walkthrough of the decisions behind it.
Worked as part of a team handling about 1,100 tickets a day, diagnosing network, equipment, account, and TV provisioning issues nationwide while meeting SLA targets.
NowThe same instinct drives my debugging: trace the cause, fix it once, and prove it with a test.
Delivered product demonstrations and technical education so customers could configure products themselves, and managed multiple conversations across chat, social, and forums through to resolution.
NowI demo what I build and explain it to customers and stakeholders alike.
Through every role, my approach has been the same: listen closely, find the cause, and make the solution easy for people to adopt. Now I get to build the solutions too.
Open to Forward Deployed Engineer, Solutions Engineer, Solutions Consultant, Implementation Engineer, Implementation Consultant, and Solutions Architect roles. Remote, based in Atlanta. The best first conversation is a short call where you walk me through a problem your team is facing.
spauleyinthecloud@gmail.com