Liam Ringstad

Software Engineer | Autonomous Agents & AI Systems

Engineering autonomous agent platforms, sovereign offline-first AI command systems, and production-grade coding assistants. Focused on the intersection of multi-agent workflows, data observability, and mission-critical operations.

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About Me

Engineering builder with hands-on experience developing autonomous agent platforms, managing large-scale datasets in Azure, and shipping production-grade AI systems.

Currently focused on building sovereign offline-first AI command systems and autonomous coding agents that deliver massive leverage for security and software operations. Driven by a deep curiosity for solving problems that require extreme reliability, observability, and advanced multi-agent orchestration.

Experience

Retail Merchandiser

Anheuser-Busch

Aug 2024 – Present

▹Lead a team of merchandisers and implement data tracking systems to reduce stock discrepancies and improve operational efficiency across high-volume locations.
▹Develop performance metrics and team schedules that directly support accurate operational reporting and budget compliance.
▹Optimize inventory control on peak days, resulting in measurable improvements in stock accuracy and team productivity.

Life Insurance Agent

Independent

Oct 2023 – May 2025

▹Built lead-generation systems and client data management workflows that strengthened technical client-management capabilities and account retention.
▹Analyzed client financial data to recommend tailored solutions, maintaining detailed transaction records with full compliance.

Cloud Support Engineer

Microsoft (BrickRed Systems)

Jul 2022 – Mar 2023

▹Managed large datasets in Azure environments and applied analytical skills to data processing and system optimization.
▹Resolved system inefficiencies and performance issues under tight deadlines, developing precision and advanced problem-solving abilities that improved overall platform stability.

Featured Projects

EPACE Sovereign

Sovereign Offline-First AI Command Platform

Engineered a sovereign, offline-first AI platform that transforms protective security operations plans into a real-time command system for high-risk environments. Integrated a Palantir AIP-compatible ontology with Grok multimodal reasoning, featuring immutable lineage tracking and human-in-the-loop (HITL) enforcement.

Next.jsTypeScriptFastAPICustom Ontology Layer

Learn more at tropix.aiDemo & GitHub coming soon...

Digital Optimus

One-Person Autonomous Agent SaaS Platform

Developed a cloud-based SaaS platform enabling autonomous agents to manage complex software operations 24/7 with minimal human intervention. Leveraged multi-agent workflows to generate full-stack applications from natural language prompts, managing end-to-end integration and deployment.

ReactPythonSQLLangGraphVercel/AWS

View on GitHub

Farm Code & MOSES

Autonomous Grok-Powered Coding Agent Framework & Daemon

Architected a production-grade AI coding assistant (Farm Code) in TypeScript/Bun with support for tool calling and multi-modal interfaces. Developed MOSES, an autonomous daemon that proactively evaluates codebases, suggests fixes, and applies changes via isolated git worktrees.

TypeScriptBunOpenTelemetryAgentic Workflows

Demo & GitHub coming soon...

Skills & Tools

Languages & Tools

▹TypeScript
▹Python
▹SQL
▹Next.js
▹FastAPI
▹Tailwind CSS
▹NumPy
▹SciPy
▹OpenTelemetry
▹Git

AI & Frameworks

▹Multi-agent Systems (LangGraph)
▹Multimodal LLMs (Grok, Claude)
▹Agentic Workflows
▹Physics Simulation

Platforms

▹Azure
▹AWS
▹Vercel
▹GitHub
▹Factory.ai
▹AntiGravity
▹Azure App Services

Education

Associate of Applied Science - Finance

Whatcom Community College, Bellingham, WA

Dec 2024 – Dec 2026

Key Coursework

Financial Analysis, Data Management, Accounting Principles, Business Statistics, Microsoft Excel & PowerPoint Applications

Certifications

Microsoft Azure Fundamentals (AZ-900)

Microsoft

February 2023

Technical Support Fundamentals

Google

June 2022