Integrations
Resilient Multi-Provider Tracking: Intelligent Fallback Across Project44, Ocean Insights & Carrier APIs
improved tracking continuity during provider outages
Legacy modernization, integration reliability, observability, and AI workflow engineering
Systems engineering for the hard parts of live production software.
Proof-first case studies and technical writing on legacy modernization, integration reliability, observability, and production AI workflow engineering.
I help teams modernize legacy platforms, harden third-party integrations, improve observability, and ship practical AI workflows that people can trust under real production pressure. Most of the proof here comes from logistics and supply-chain software, but the engineering patterns travel well.
Proof points
Credibility should be easy to scan before anyone commits to a deeper read.
Playbooks
API Integration Incident Response Playbook
Faster triage and mitigation during API incidents
Playbooks
SOAP/XML Integration Playbook: Clean Modern Services Around Legacy APIs
Isolated adapter reduced XML leakage into business logic (directional)
Playbooks
Reconstructing Missing Milestones: Deterministic Backfill Logic for Messy Carrier Tracking Data
improved tracking timeline coherence
Explore the site
Each hub is built to answer a different evaluation question and pass visitors into the next relevant page.
Capabilities
Engineering Capabilities
Core service areas spanning legacy modernization, API and integration reliability, observability, and production AI workflow engineering.
Open sectionCase Studies
Software Engineering Case Studies
Proof-focused breakdowns of legacy modernization, performance engineering, integration reliability, and workflow design in live production systems.
Open sectionIntegrations
Integration Reliability Engineering
How third-party APIs, event streams, and operational data get normalized, retried, deduplicated, and made reliable in production systems.
Open sectionPlaybooks
Engineering Playbooks for Live Production Systems
Reusable playbooks for shipping, documenting, debugging, and hardening software without creating new operational risk.
Open sectionField Notes
Field Notes on Modernization and Reliability
Opinionated notes on long-lived software, focused on judgment, tradeoffs, and the realities behind clean architecture rhetoric.
Open sectionCapabilities
Core areas where I create leverage across legacy systems, integration reliability, and practical AI delivery.
Capability
Freight Quoting Engine: Consistency, Speed, Margin Control
Engineered quoting systems for ocean, air, and trucking that enforce mode-specific rates, margin policies, fast operator workflows, and full auditability.
Reduced quote-to-quote pricing variance across reps
Capability
Observability & Uptime: Reducing MTTR in High-Stakes Logistics Systems
Designed and operated Prometheus + Grafana observability stacks that delivered 99.99% uptime and ~30% faster incident recovery across containerized logistics platforms.
Maintained 99.99% uptime for containerized services
Capability
Ops ↔ Engineering Translation: Making Logistics Reality Survive Code
I turn messy ops language—demurrage risks, rolled containers, cutoff misses—into clear, buildable engineering specs that don't lose the business intent.
noticeably less requirement churn and late rework on domain workflows
Selected case studies
Outcome-focused proof from real production systems, with most examples drawn from logistics and supply-chain software.
Case Study
Release Discipline on a Solo Side Project: How I Shipped SilkCast
I took a personal Tauri media player from 'works on my machine' to automated cross-platform releases with MSI installers, proper MPV bundling, and production-grade CI/CD — all as a one-person project.
Automated Windows + Linux releases
Case Study
Making Multi-Origin Freight Quotes Predictable & Idempotent
How explicit rendering + payload dedupe turned a brittle quoting system into a reliable one — with lessons on idempotency and operational semantics.
Post-fix reliability improved in production workflows (directional; exact defect-rate delta not yet published)
Case Study
Production RAG Assistant for Logistics Issue Triage
Building a retrieval-augmented support assistant that helped operations staff triage recurring logistics issues faster and more consistently.
About 30 operations staff used the system in production
Field note
Not every useful signal is a case study. Some of it is judgment, plainly explained.
Perspective
Where AI Delivers Real Value in Logistics Ops (and Where It's Mostly Hype)
Where RAG agents and workflow tools cut real friction in logistics ops, and where AI autonomy and generic assistants consistently fall short.