Backend-focused engineer working in .NET APIs, systems architecture, and AI-augmented development workflows.

I use AI often, but I use it in service of disciplined engineering, not in place of it.

My focus is building software that remains clear, maintainable, and dependable after the first demo, after the happy path, and after requirements start changing. I care about sound architecture, clean boundaries, thoughtful specifications, and code that can survive real-world pressure.

I’m especially interested in:

• developer tooling
• backend system design
• API architecture
• spec-driven development
• AI workflows grounded in engineering judgment

After spending three years away caring for a family member, I’m back with sharper fundamentals, deeper architectural focus, and a stronger sense of the kind of software worth building.

If I don’t understand how a system works, I learn it until I do.

amodelandme is exactly what it sounds like: a builder, a model, and a serious respect for the craft.

Azure-native. .NET-first. AI-assisted feature flag management.

🔗 Feature Flag Service Repository

A developer tooling project for engineering teams running .NET on Azure that want a serious feature flag platform without the pricing weight of LaunchDarkly or the rough edges of lighter alternatives.

Stack        .NET 10  ·  ASP.NET Core  ·  Azure (Key Vault · App Insights · Container Apps)
AI Layer     Azure OpenAI  ·  natural-language flag health analysis  ·  stale flag detection
SDK          Production-ready .NET SDK ships alongside the service
Model        Open core  ·  MIT licensed  ·  self-hostable

What makes it different:

• Azure-native from day one
• Built specifically with .NET teams in mind
• AI-assisted flag analysis that helps surface operational and cleanup issues
• Fast local setup with a working service and SDK in minutes

Validation goal: clone the repo, run docker compose up, and get a usable flag service with the .NET SDK and AI analysis in under 15 minutes.

Design-first. .NET-native. AI-assisted engineering workflow.

🔗 Specwright Repository

A workflow and tooling kit for backend engineers who want to move beyond ticket-driven implementation and toward spec-driven system design.

Specwright is built around the idea that strong software starts with clarity: clear architecture, clear current-state documentation, clear implementation specs, and clear feedback loops between design and code.

It combines:

• living project documents
• feature-level specs
• implementation notes
• AI-assisted engineering roles

The goal is not to automate judgment away. The goal is to give disciplined engineers a better development loop.

CompuGroup Medical · Software Developer, Backend / DevOps (2022–2023)

• Built and maintained high-throughput .NET and Node.js APIs for laboratory management products
• Improved performance across PostgreSQL and SQL Server through EF Core query tuning and schema optimization
• Redesigned CI/CD workflows with GitHub Actions, Docker, and AWS to improve deployment speed and reliability
• Implemented Redis caching strategies that reduced pressure on primary databases

Ecosystem · Software Engineer (2020–2021)

• Architected RESTful APIs supporting iOS and Electron clients
• Investigated performance bottlenecks and delivered targeted refactors that significantly reduced load times
• Automated testing and deployment workflows using GitHub Actions and Selenium

+ Deepening: API design patterns · .NET internals · systems architecture
+ Building:  developer tools, backend platforms, and durable engineering workflows
+ Exploring: AI-augmented development guided by specs, architecture, and constraints
+ Writing:   dev.to/amodelandme · building in public and thinking through the craft

• [active] eLearnSecurity Certified Junior Penetration Tester (eJPT)
• [in progress] Salesforce Administrator
• [in progress] Salesforce Platform Developer I

LinkedIn →  linkedin.com/in/amodelandme
Email    →  contact@amodelandme.dev

// design for change · build for reality · use AI deliberately