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About

Yogimathius

Software Engineer & AI Toolsmith

Software engineer at Shopify by day, building AI agent infrastructure by night. I work across Ruby, TypeScript, Rust, Python, and Elixir — picking the right tool for the problem, shipping production code in all of them.

My current obsession is the tooling layer that makes AI agents actually useful: MCP servers, agent memory systems, context engineering, and developer tools built for the agentic era. My stack shifts to fit the problem: Rust for engines and protocols, Go or Elixir for distributed backends, and Remix or React Native for interfaces that feel alive.

After 8+ years and 8 programming languages, I believe the most important work in AI right now isn't at the model layer — it's in the infrastructure that connects models to the real world.

Yogimathius

Yogimathius

Software Engineer @ Shopify

Building in public
8+
Years Experience
8
Languages
Curiosity

Systems

  • Rust
  • Go
  • C
  • WebAssembly

Web & AI

  • TypeScript
  • React
  • Python
  • MCP

Backend

  • Ruby/Rails
  • Elixir/Phoenix
  • Node.js
  • GraphQL

Infrastructure

  • Docker
  • Kubernetes
  • AWS
  • CI/CD

Current Focus

Building MCP servers, agent memory protocols, and AI tooling across TypeScript and Go. Exploring symbolic reasoning, ontological analysis, and developer tools that bridge the gap between human intuition and machine capability. The thread connecting this work: engineering infrastructure where knowledge can persist, fork, and evolve beyond the systems that created it.

Beyond Code

I see these technologies — agent protocols, symbolic reasoning, distributed knowledge systems — as infrastructure for something beyond productivity. Yoga, meditation, and philosophy aren't separate from the engineering; they inform it. The most interesting problems sit at the boundary between what machines can propagate and what humans actually mean.

Let's Connect

Always down to talk AI tooling, open source, or wild ideas.

Get in Touch