RYAN ZERNACH

Full-Stack AI Systems Engineer

Ryan_Zernach_2025_Senior_AI_Systems_Engineer_Remote_United_States

🧬 Archlife Industries LLC

Archlife Industries is my LLC and the vehicle for several years of 1099 software-solution work. Through it, I have delivered mobile and full-stack engineering outcomes spanning agentic AI/ML development, mobile apps, public open-source experiments, and compliance-sensitive product work.

Archlife Industries

📱 Core Mobile + Platform Delivery

Across mobile and backend systems, I built and iterated core product functionality through my 1099 software solutions work with Archlife Industries.

  • 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.
👥 Selected Clients:
🍷 CellarTracker
🏟️ Demosphere
📈 FinEquities

🧪 Open-source Labs + Public Proof

Archlife also served as a public lab: a place for product ideas weird enough to be memorable and technical enough to be real. The public repos make the work inspectable instead of merely described.

  • 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.
🛠️ Public OSS Work:
🏢 Archlife Org
📲 WalletConnect Expo App
💻 Archlife Commands
🧠 EEG Control POC
🧾 Agentic Tax Prep

🔐 HIPAA + SOC 2 Sensitive Delivery

Some Archlife projects demanded more than a feature that worked: privacy, auditability, and controlled operations had to be present in the engineering itself. I treat HIPAA and SOC 2 as system-design requirements, not compliance theater—minimum-necessary access, traceable change paths, and operational guardrails that can 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.
⚖️ Compliance-Focused Work:
🏥 Healthcare AI + HIPAA
🛡️ HIPAA Engineering
🔒 Finequities SOC 2

📎 How That Showed Up In Projects

Finequities is the clearest production example: SOC 2 readiness became concrete work across mobile, backend, and release operations. The same principle carries into healthcare—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.