Product-minded software engineer • enterprise systems • edge AI direction

I build deployable AI software and serious product systems.

Senior full-stack engineer with 10+ years shipping secure .NET and SQL-heavy applications across government, higher education, and enterprise environments. Now focused on privacy-first local inference, ONNX/PyTorch workflows, and AI product surfaces that hold up under real constraints.

Best fit for AI product teams, founder-led software companies, and organizations modernizing legacy or regulated systems.

10+ years

Secure delivery

Shipping .NET and SQL-heavy systems across government, higher education, and enterprise environments.

.NET / SQL

Operational depth

Reporting-heavy applications, performance tuning, CMS modernization, telemetry, and internal tools that have to hold up.

ONNX / PyTorch

Edge AI direction

Local inference evaluation, quantization-aware workflows, and privacy-first product patterns grounded in real software delivery.

Product-minded

Business context

Engineering depth with MBA-backed judgment for founder-led teams, modernization work, and high-stakes software decisions.

Why this direction matters

The durable AI products will be the ones that fit real workflows.

The next durable AI products will not be the loudest demos. They will be the ones that fit real workflows, respect privacy, stay observable in production, and make operators faster without creating chaos. That is the layer of software I care about building.

Real workflows Privacy-first deployment Observable in production Faster operators
Articles

Editorial depth that can grow into a real traffic surface.

The article system is first-class: command libraries, engineering notes, and future sections can be added through admin and will automatically inherit routing, telemetry, and menu support.

Browse Articles
Azure Commands Apr 10, 2026 7 min read

Azure deployment checks before and after a release

A preflight and post-release guide for disciplined Azure delivery.

Azure Commands Apr 10, 2026 8 min read

Azure CLI commands for App Service delivery and diagnostics

A working set of Azure CLI commands for App Service, logs, slots, config inspection, and quick diagnostics.

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Looking for someone who can ship credible AI product work or modernize a high-stakes software system?

That is where I am strongest: product-minded engineering, secure delivery, and privacy-first AI direction for teams that need real software rather than theater.

AI product teams Founder-led software companies Legacy / regulated modernization