RYAN ZERNACH

Senior AI Systems Engineer

Ryan_Zernach_2025_Senior_AI_Systems_Engineer_Remote_United_States

🧬 Archlife Industries LLC

Archlife Industries is my LLC, where I have provided 1099 software solution expertise for several years. Through this entity, I delivered mobile and full-stack engineering outcomes including agentic AI/ML development, mobile apps, public open-source experiments, and compliance-sensitive product work.

Archlife Industries

πŸ“± Core Mobile + Platform Delivery

As part of my 1099 software solutions through Archlife Industries, I built and iterated core product functionality across mobile and backend systems.

  • Built Plaid connections, trending investors, and suggested stocks.
  • Built social features: direct chat, profiles, posts, likes, emojis, and threaded comments.
  • Wrote data-visualization logic for comparing stock and crypto performance.
  • Transitioned the React Native codebase from JavaScript to TypeScript.
πŸ‘₯ Selected Clients:
🍷 CellarTracker
🏟️ Demosphere
πŸ“ˆ FinEquities

πŸ§ͺ Open-source Labs + Public Proof

Archlife also served as a public lab for product ideas that were weird enough to be memorable and technical enough to be real.

  • Built an OSS Expo + MetaMask mobile app for a hackathon.
  • Shipped a personal life intelligence layer as open source.
  • Built a financial categorizer and aggregator dashboard for preparing and filing taxes using agents.
  • Published public repos that make the work inspectable instead of only described.
πŸ› οΈ Public OSS Work:
🏒 Archlife Org
πŸ“² WalletConnect Expo App
πŸ’» Archlife Commands
🧠 EEG Control POC
🧾 Agentic Tax Prep

πŸ” HIPAA + SOC 2 Sensitive Delivery

Archlife work also included projects where privacy, auditability, and controlled operations had to show up in the actual engineering work. I treat HIPAA and SOC 2 concerns as system-design requirements, not compliance theater, so the implementation reflects minimum-necessary access, traceable change paths, and operational guardrails that hold up under review.

  • Mapped product decisions to least-privilege access boundaries, controlled production permissions, and attributable operational actions.
  • Built for auditability with clearer event visibility, traceable release paths, and investigation-friendly system behavior.
  • Treated sensitive-data handling as an architecture concern: tighter trust boundaries, reduced unnecessary exposure paths, and stricter interface discipline.
  • Hardened release workflows so compliance-sensitive changes had repeatable review and rollback expectations before production.
βš–οΈ Compliance-Focused Work:
πŸ₯ Healthcare AI + HIPAA
πŸ›‘οΈ HIPAA Engineering
πŸ”’ Finequities SOC 2

πŸ“Ž How That Showed Up In Projects

The clearest production example was Finequities, where SOC 2 readiness translated into concrete engineering work across mobile, backend, and release operations. On the healthcare side, my approach is the same: minimum-necessary data flow, strict access boundaries, and audit trails from day one so protected data can stay safe without destroying usability.

  • Finequities: tightened access boundaries, reduced security ambiguity in fast-changing product areas, and improved incident-readiness and evidence quality.
  • Finequities: drove TypeScript migration and architecture cleanup that made compliance-sensitive logic easier to reason about.
  • Healthcare-oriented systems: design for ePHI boundary discipline, role-scoped access, immutable audit trails, and compliance-aware release gates.
  • Across both: translate policy expectations into real software behavior instead of leaving them as documentation-only promises.