Profile // Systems Architecture

17 years building software that has to work.

Full stack systems architecture across enterprise and consumer products. Currently researching AI assisted development to separate what works from what's hype.

Background

Client/server systems, full stack.

Enterprise platforms, consumer products, real time applications. Architecture that holds up under real traffic and real teams.

Current Research

  • Where AI assisted workflows produce real results
  • Agentic development beyond the hype
  • Architecture under AI assisted velocity
  • Vibe coding with professional constraints

Career // Timeline

17 years of building software

2009 Education

Computer Analyst/Programmer

Red River College, Winnipeg. Two-year diploma in computer analyst and programmer.

2010 Inventory Software Company

Full stack developer

Joined a small shop in Winnipeg building inventory management software for restaurants.

2012 Inventory Software Company

Platform migration

Migrated the product from PowerBuilder 11 to .NET Framework 4, both frontend and backend.

2015 Inventory Software Company

Enterprise greenfield

Built the enterprise version from scratch, connecting multiple restaurant locations to a head office. ASP.NET MVC on .NET Framework 4, hosted in Azure.

2018 Inventory Software Company

COTS to SaaS migration

Migrated the product from on-premise packaged software to a SaaS model. Completed successfully and the company was acquired in 2020.

2021 Agritech Software Company

Systems architect, full stack

Moved into complex agricultural projects connecting manufacturing systems together, optimizing planning and sales workflows.

2022 AI experimentation

ChatGPT and first impressions

First contact with LLMs. Initially saw it as a realized Cleverbot, used it for creative writing. None of the output was good but recognized "this is the worst it will ever be." Learned the difference between context windows and actual learning.

2023 Agritech Software Company

Open source and cloud migration

New projects and features built on open source technologies and cloud infrastructure. Picked up GCP, Python, and various JS frameworks alongside existing .NET Framework 4.5 systems.

2023 AI experimentation

Copilot, Python, and benchmarks

Started using Copilot autocomplete. Used ChatGPT to learn Python and build early games. Created a Wolfenstein 3D raycaster one-shot benchmark to test new models as they came out. Tested local models with Ollama. Discovered Claude through aider, heavy API spend.

2024 H1 AI experimentation

Cursor, React, and model hopping

Google conference in Vegas, tested Gemini. Built increasingly complex Python games with aider, then Cursor. Switched to Cursor for cost reasons. Learned React, Next.js became favorite frontend. Most models still failed the raycaster benchmark.

2024 H2 AI experimentation

The big push

August: shifted from assisted coding into vibe coding. Lost faith in OpenAI, moved to Claude and Google. Reasoning models started one-shotting the benchmark. Heavy Three.js, complex game architecture. Gen AI golden era across all modalities. Spend became unsustainable. Tried Replit, Bolt.new, Windsurf. Started thinking in compute per dollar.

2025 Agritech Software Company

.NET Framework to .NET 10 migration

Migrated an internal application from .NET Framework to .NET 10 with a new Vue 3 frontend. A long-term goal I was able to see through. The application can now run in the cloud and be developed on from any platform, with future SaaS potential.

2025 H1 AI experimentation

Hype skepticism and craft focus

Found Deepseek overhyped but it exposed cracks in the AI hype narrative. Cut services and spend. Built more complex web apps and Three.js game systems. Used premade assets and Mixamo for animations.

2025 H2 AI experimentation

Claude Code and model intelligence

NFT projects as hobby. Complex 3D games with usable AI-generated models. API spend surprises on experimental projects. CRUD apps fully commoditized. Claude Code changed everything by freeing workflow from VS Code. Developed a sense for model intelligence: Claude smart, GPT equally smart, Grok creative but dumb, Gemini overthinks.

2026 SaaS Startup

Livestock production systems

Integrated systems software for livestock production. Optimizing plant production planning, maximizing sales, full inventory utilization, and logistics tracking.

2026 Current

Agent maxxing

Four agent tabs running in parallel across projects. ~$150/month on AI services. Using Codex 5.4, Claude Opus 4.6, Gemini Flash 3, Grok, Z.AI GLM 5.1. Not convinced by full agent harness companies. Open source and Apple may have the future advantage.