10+ years
Enterprise software delivery
Shipping secure .NET, SQL, reporting, and internal tooling systems across government, higher education, and enterprise environments.
Senior .NET/Azure engineer • edge AI • agentic systems • cloud operations
I build practical AI systems on serious enterprise software foundations.
Senior full-stack engineer with 10+ years shipping secure .NET and SQL-heavy applications across government, higher education, and enterprise environments. Current work focuses on WebLLM/ONNX/PyTorch edge inference, agentic Article Studio workflows, cached Azure Cloud Portal tooling, and cloud-backed product surfaces that hold up under real constraints.
Best fit for applied AI teams, Azure/.NET modernization groups, internal tooling teams, and organizations turning AI experiments into usable software.
I work best where enterprise discipline, cloud operations, and practical AI need to meet: modernizing legacy systems, building operator-friendly admin surfaces, wiring AI into real workflows, and shipping products that feel calm, fast, secure, and credible in production.
Azure / DevOps
Cloud operations tooling
Building a cached Azure admin/control plane for operational visibility across app health, telemetry, Redis, PostgreSQL, and deployment-aware workflows.
Edge + Agentic AI
Practical AI builder
Working with WebLLM, ONNX/PyTorch, local inference concepts, intent routing, and Article Studio as an agentic content-operations system.
Product-minded
Business context
MBA-backed judgment for founder-led teams, modernization work, AI-enabled workflows, and high-stakes software decisions.
Featured systems
Applied AI and Azure systems that show range, restraint, and technical maturity.
These are framed as serious product and operations surfaces: cached Azure DevOps tooling, agentic Article Studio workflows, edge/local inference, speech and intent routing, and AI features built around privacy, speed, and operational clarity.
Azure Cloud Portal
Current System
Azure Cloud Portal
Cached DevOps Control Plane
A fast Azure-backed admin portal for cloud operations, app health, fleet visibility, and deployment-aware workflows.
ASP.NET Core, Azure, Azure Monitor, Redis, PostgreSQL, OAuth 2.0, Microsoft Entra ID
AI Systems
Azure operations
Article Studio
Current System
Article Studio
Azure-Based Agentic AI System
An agentic content-operations workflow for research, outlines, drafts, review, metadata, media, and publishing support.
Azure, ASP.NET Core, agentic workflows, content services, PostgreSQL, telemetry
AI Systems
Agentic workflow design
Saros
Flagship Project
Saros
Offline Quant Workstation
Private market analysis with local AI and a desktop-first workflow.
Rust, Tauri, local inference, analytics UI
AI Systems
Local inference
Neon Drift
Selected Work
Neon Drift
AI-Enhanced Game Systems
A modular game architecture with event-driven systems and an edge/local taunting AI direction.
.NET, game architecture, event bus, dependency injection, local AI behavior loops
AI Systems
AI taunting behavior
Vectrexia
Selected Work
Vectrexia
Speech-Routed Edge AI Emulator
A modern Vectrex emulator concept where speech and local intent routing can load games and assist diagnostics.
Rust, emulation, desktop shell, speech intent routing, local inference
AI Systems
Speech intent routing
TherapyLink.AI
Selected Work
TherapyLink.AI
Intent-Routed AI Web App
A trust-centered AI product using edge/local routing concepts to turn user queries into guided mini-app workflows.
ASP.NET Core, AI workflows, intent routing, product systems
AI Systems
Intent-routed mini-apps
Why this direction matters
The useful AI products will be built by people who can ship the whole system.
Durable AI is not just the model. It is identity, data paths, cloud cost, latency, caching, observability, fallback behavior, privacy, security, and trust. That is the layer of software I care about building: practical AI wrapped in systems that teams can actually run.
.NET / Azure foundations
Local inference and routing
Agentic workflow design
Observable production systems
Articles
Applied AI, Edge AI, Agentic Systems, Microsoft Azure, AI Math, and Product Engineering Articles by Sean Findley
Browse practical articles written by Sean Findley on AI fundamentals, edge/local inference, agentic workflows, Azure App Service and cloud operations, software systems, applied AI math, and product engineering. The collection is built for serious beginners, working developers, and advanced builders who want clear explanations, useful patterns, and field-tested engineering judgment without hype.
Azure deployment checks before and after a release
A preflight and post-release guide for disciplined Azure delivery.
Azure App Service operations field guide
A compact Azure field guide for calm App Service deployment and diagnosis.
Edge AI deployment notes for private inference
A practical guide to the first decisions that make private local inference easier to ship.
Systems architecture checklist for production software
A compact architecture checklist for software that needs to survive real use.
Product systems start with operator workflows
Useful product systems begin by respecting the operator's real path through the work.
Math and ML foundations for practical builders
A practical foundation map for builders who want ML intuition without getting lost in ceremony.
FinTech product systems need trustworthy data paths
Financial tools are only useful when users can understand where the numbers came from and what changed.
Thought experiments for better technical decisions
Use sharper questions to pressure-test technical decisions before code hardens around them.
edge ai test 1
this is an edge AI test article excerpt
Start a conversation
Looking for someone who can modernize serious software and ship practical AI features?
That is where I am strongest: senior .NET/Azure engineering, secure delivery, cached operations tooling, edge/local inference, and agentic workflows for teams that need real software rather than theater.