Zack Meacham
Software engineer across systems, applied AI, and product.
Systems engineering, software engineering, and applied AI in one practice: I build products and tooling where all three have to hold up under real constraints.
I work across three lanes that usually stay separate: mission-critical systems, applied AI, and product. LLMs show up throughout that work, as features users touch and as tools that change how the engineering itself gets done.
Proof
-
Systems engineering
Mission-critical test infrastructure at Boeing. Three concurrent efforts: one calibration suite built from zero to production-facing daily use.
-
LLM-powered products
Ledger / Vera: a civic AI assistant with source-aware tool use and provenance as a first-class concern.
-
Agentic AI workflows
Custom skills, MCP servers, RAG pipelines, and tool-using agents built and run day-to-day.
-
Full-stack delivery
Web, desktop, and CLI products taken from zero to real usage.
Selected work
Three flagship case studies.
-
Ledger / Vera
Building a civic AI assistant with source-aware tool use. Provenance and citation are first-class; the stack is shaped to ship and stay shipped.
- Next.js
- TypeScript
- Supabase
- Upstash
- Vitest
- Playwright
-
Test Infrastructure at Boeing
Mission-critical test infrastructure inside a constrained enterprise, written public-safe. Three concurrent efforts spanning Ada, LabVIEW, hardware integration, and stakeholder-level systems work: one originated, one led, one built from scratch.
- Ada
- C++
- LabVIEW
- Hardware integration
- Requirements engineering
-
Milodex
Architecting an autonomous trading platform with research-first risk controls. Broker abstraction, risk-gated execution, operator-safe CLI workflows.
- Python
- Alpaca
- Parquet
- pytest
- CLI
How I work
How I work.
-
Systems thinking
Depth before noise: understand the system, then make the smallest high-leverage move.
-
Agentic workflows
Custom skills, MCP servers, RAG pipelines, and tool-using agents, built and run day-to-day.
-
Practical AI implementation
Engineer-first. Autonomy is earned, not assumed; clear interfaces, small blast radius, honest failure modes.
-
Restrained product judgment
Architecture with a purpose: design for maintainability, operator trust, and real usage.
-
Architectural discipline
Calm ownership and clean boundaries: communicate clearly, contain risk, keep momentum up.
Experience
Full role history and skills.
Software Engineer 2 at Boeing since 2022 and CTO at Ledger, with personal systems and tooling shipped alongside.
Contact
Reach out.
Email is the quickest way to reach me. Happy to talk about systems work, product engineering, agentic-AI tooling, or something interesting you think I should be building.