Production applications
Built and supported secure C#/.NET systems across licensing, enforcement, HR, and regulatory reporting.
SEAN FINDLEY · CREATOR OF OVERLIFT
Senior Software Engineer · Applied AI & Agentic Systems
I build the systems that make agentic AI useful.
For more than 11 years, I’ve turned complex requirements into working software. Today, I’m applying that engineering foundation to agentic AI.
From secure enterprise workflows to browser-based AI, my work connects intent, evidence, and explicit rules—so the application can explain what happened and why.
THE FOUNDATION
Software people depend on.
At the Nevada Gaming Control Board, I built and supported applications for licensing, enforcement, HR, and regulatory reporting. Permissions, business rules, data integrity, and reliability mattered every day.
That experience shapes how I approach AI: understand the workflow, establish the boundaries, and make the result something people can inspect and trust.
THE WORK TODAY
Engineering agentic AI, end to end.
Through OverLift and my independent applications, I’m exploring how systems interpret intent, retrieve evidence, use context and memory, and evaluate actions against explicit rules.
My projects connect browser-based execution, deterministic validation, and replayable decisions across research, document workflows, logistics, learning tools, and real-time interactive systems.
I design the architecture, write the software, investigate the failures, and keep refining the product. My enterprise experience grounds that work in real operational needs; my independent projects carry it into AI.
- 11+ years
- Delivering software across government, higher education, and the private sector.
- 7+ production systems
- Senior Developer · Nevada Gaming Control Board · 2018–2025.
- Creator of OverLift
- Independent architecture and application development in browser-based agentic AI.
ROLES I’M TARGETING
I’m looking for a full-time role building agentic AI applications and the systems behind them.
- Senior Agentic AI Engineer
- AI Application Engineer
- AI Systems Engineer
- AI Product Engineer
Also open to senior .NET / Azure engineering roles with an applied AI focus.
- C# / .NET
- ASP.NET Core
- Azure
- SQL Server
- JavaScript
- RAG & hybrid search
- WebAssembly
OVERLIFT · THE METHOD BEHIND THE WORK
Make intelligence
accountable.
OverLift brings AI and a repeatable decision engine into the browser. The OverLift method is how I build that core and adapt it to different products. AI explores and proposes; explicit rules govern what the application accepts.
Same saved facts. Same rules. Same result. Capture the inputs, starting state, and code version, and an important decision becomes something you can inspect and replay. That is the power of deterministic software.
- Understand the why. See the evidence and the rule behind a result.
- Explore the what-if. Compare alternatives before changing official state.
- Improve with confidence. Check new code and faster execution against a trusted reference.
Delivery deadlines. Document facts. Game rules. Different products, the same discipline—with each domain supplying its own evidence, permissions, and tests.
Explore the OverLift method OverLift.aiTHE OVERLIFT PROCESS
Start with one important workflow.
- 01Capture the factsRecord inputs and state.
- 02Make rules explicitDefine permissions and limits.
- 03Check the resultValidate before acceptance.
- 04Keep the replayExplain, compare, improve.
Browser execution can keep supported work close to your data. Shared records and consequential actions still need trusted server checks and the required human approval.
BUILT FOR REAL OPERATIONS
Experience behind the ideas.
Senior Developer · Nevada Gaming Control Board
October 2018 – December 2025
Faster reporting
Representative SQL Server report improvements through query, stored procedure, and index optimization.
Practical modernization
Turned manual forms into secure workflows, with repeatable Azure DevOps releases and ongoing production support.
SELECTED WORK
Six projects. Six different problems.
Independent engineering across logistics, research, learning, documents, and real-time systems. Explore the problem, my contribution, and the implementation behind each project.
OverLift Logistics
Compare recovery routes when a facility outage puts a shipment at risk. The interactive example shows the evidence, limits, and approvals behind a decision.
What to look for
Compare a proposed action with the rule that admits or blocks it.
Saros.ai
Investigate a market question using the information available at a chosen moment. The case study follows sources, revisions, and calculations through an analysis.
What to look for
Look for the point in time, source revisions, and assumptions behind an analysis.
AzureGlossary
Find Azure concepts, command references, and related study material in one place. The case study follows the connections between a question, its explanation, and the next thing to learn.
What to look for
Look for how a question leads to a useful concept and a practical next topic.
Vellucent Studio
Examine a proposed PDF correction while protecting the author’s facts and intended meaning. The case study follows the edit through checks, human review, and a recorded decision.
What to look for
Follow what an edit changes, what must remain fixed, and who accepts it.
Neon Drift
Explore pursuit and commentary through VANTA-9 and Zarvox in a light-cycle arena. The case study follows each agent’s proposals, the game rules, and the recorded outcomes.
What to look for
Follow an agent’s perception, proposed move, and the game rule that allows it.
Vectrexia
Explore vector emulation with speech-guided controls and private diagnostics. The case study follows a command from clarification to machine state and repeatable checks.
What to look for
Look for command clarification, machine state, and repeatable diagnostics.
TRY IT IN YOUR BROWSER
A shipment is at risk. What should happen next?
In the synthetic Amsterdam outage example, compare recovery routes for shipment OD-1042 and inspect the service, cost, and approval rules behind the outcome.
Inspect the alternatives, see why a route is accepted or rejected, and replay the decision.
HOW I THINK & BUILD
The engineering behind the work.
Three starting points for the architecture, tradeoffs, and testing behind these systems.
Browser intelligence, server authority
The hosting split behind the original .NET and Azure application, and what it teaches.
Read the articleFrom prototype to proof
Turn a product hypothesis into testable contracts and evidence for release.
Read the articleAn agentic system, small enough to inspect
Follow a shipment from question to evidence, approval, and replay inside the browser.
Read the articleEXPERIENCE & CONTACT
Let’s build something dependable.
I’m looking for a full-time role where I can bring production engineering experience and practical AI development to a strong team. OverLift is my independent engineering and research work.