Building the bridge between ops and engineering
7 years in logistics ops gave me a problem-solver's lens. Now I build production AI systems and homelab infrastructure that actually hold up in the real world.
Projects that ship
Real systems solving real problems. Not demos — production workloads running in the wild.
98% Faster Shipment Dashboard Modernization
How I moved a legacy shipment dashboard from 80-90 second load times to under 2 seconds using SQL preprocessing and a React/TanStack rebuild.
Safe Legacy Deprecation: Retiring Old Modules in a Live Logistics System
Mapped runtime usage, added feature switches and rollback guards, then removed deprecated PHP modules in waves—reduced ambiguity and maintenance risk with zero operational regressions.
Supply Chain / LogisticsModernizing Customer Workflows: From Legacy PHP/jQuery to React + Node
Led incremental migration of core logistics workflows from brittle PHP/jQuery to React + Node.js — frontend bugs dropped ~50% (directional), feature delivery sped up dramatically, all with zero customer downtime.
End-to-end, from mess to production
I don't just build prototypes. I take ideas through research, prototyping, production deployment, and iteration.
AI Systems
RAG pipelines, LLM integrations, predictive models. Production-grade AI that doesn't hallucinate at 2am.
Automation
n8n workflows, API integrations, scheduled jobs. Replace manual work with systems that just work.
Infrastructure
Homelab setups, Docker stacks, self-hosted services. Proxmox, Unraid, and friends.
Full-Stack
Astro, React, Node.js, databases. Modern web apps with real-world usability.
Got a problem worth solving?
I'm currently taking on select projects. If you need someone who gets ops AND engineering, let's talk.