Senior systems engineering for NetSuite-centered businesses
Rare technical range for business systems where average execution is expensive.
NSX Solutions is a senior-engineer practice for the moments when NetSuite, commerce, payments, data, and AI all have to work together cleanly. The work is technical, but the value is simple: fewer fragile systems, fewer unknowns, and more confidence in the machine your business runs on.
One technical owner across NetSuite internals, modern web products, APIs, data systems, and production AI.
Certified Oracle SuiteCloud Developer IBM Machine Learning Certified Direct senior engineer, not a rotating agency bench Selective project availability
I take on the work where technical range becomes the advantage.
The best fit is not a simple ticket queue. It is a business-critical system where ERP logic, frontend experience, integrations, data, and automation all touch the outcome.
Make NetSuite workflows dependable
For scripts, saved searches, scheduled jobs, and API integrations that have become too important to keep patching blindly.
I tighten the data model, rebuild the failure path, add visibility, and leave the system readable enough for a serious operations team.
See production examplesCreate buying experiences with NetSuite behind them
For storefronts, portals, fitment systems, checkout flows, and customer tools where the front end has to respect real operational truth.
The result should feel modern to the customer and sane to the people responsible for orders, inventory, payments, and reporting.
View featured workPut AI inside the systems people already use
For teams that need more than a demo: agents with tool access, RAG over real documents, NetSuite-aware permissions, and logs leadership can trust.
The goal is not novelty. The goal is useful leverage inside the operating system of the business.
See AI systemsThis is deliberately not a general development shop.
The value is concentrated attention from one senior technical owner. That works best when the project is complex enough to justify taste, judgment, and broad systems experience.
NetSuite is central to how revenue, orders, inventory, or reporting actually works.
The project has enough business value that reliability matters more than the cheapest implementation.
You need one senior technical owner who can move across ERP, frontend, backend, data, and AI without losing the thread.
Baxter Performance USA. Full-stack commerce system.
Modern, server-rendered storefront with NetSuite as the live source of truth, direct payment integration, and a custom vehicle fitment system.
Baxter Performance USA makes precision oil filter relocation kits and performance parts for an enthusiast customer base that knows their vehicles cold. The brand was growing fast and invested in a platform built for that scale: a storefront that loads fast and ranks well in search, NetSuite as the live source of truth for everything operational, payments wired in directly, and a custom fitment system so every customer sees only the parts that fit their vehicle. I built it end to end.
What the new stack covers:
- Modern, server-rendered storefront. Fast, mobile-first, built for SEO.
- NetSuite as the source of truth. Products, pricing, inventory, fitment, and orders all live in NetSuite and sync in real time.
- Custom vehicle fitment system. "My Garage" lets customers save their vehicles and see only the parts that fit.
- Direct payment integration with webhook-driven order creation in NetSuite. No middleware in the path.
- Ads platform integration. Campaign performance feeds straight into NetSuite for unified reporting.
- Full DNS, email deliverability, and SEO setup on the new platform.
Production AI, not an executive demo.
AI infrastructure built into the systems your team already uses, with access control, auditability, and business context.
nsGPT. AI inside NetSuite.
175+ NetSuite users running queries in plain English instead of clicking through saved searches. Answers finance and ops questions in seconds. Creates records, triggers workflows, runs saved searches. Department- and role-aware access controls. Audit logging. Built for production use, not demos.
Check out nsGPTHere are your top 10 customers by revenue for Q4 2025:
Production MCP Server. Wine and spirits distributor.
Custom MCP server giving 249 users at a wine and spirits distributor AI-searchable access to their business documents and NetSuite data through Claude. RAG pipeline over the full document corpus. Custom SuiteScript tools exposing ERP data with role-based access. Google Workspace SSO. The build depended on equal depth in MCP/RAG patterns and NetSuite internals.
Custom ML models trained on your data.
Predictive models built on your data, not somebody else’s. Customer churn and retention scoring, lead win probability, demand and inventory forecasting, anomaly and fraud detection. Trained on your historical data, tuned against the metric that matters to your business, and deployed where your team can act on the output. Built with TensorFlow, Keras, and scikit-learn, scoped per engagement.
High-context work deserves a high-context process.
The process is designed to move quickly without losing the details that make ERP and AI work either reliable or painful.
Diagnose
We map the current workflow, failure modes, data ownership, and business constraints before proposing a build.
Design
You get the integration shape, key risks, system boundaries, and implementation plan in plain English.
Build
I implement the scripts, services, frontend, data layer, or AI tooling with logging and operational checks included.
Stabilize
We test against real scenarios, document the moving parts, and leave your team with a system they can reason about.
Premium here means fewer unknowns after launch.
Senior-only execution
The person diagnosing the architecture is the person building the system. No translation layer between strategy, implementation, and accountability.
Operational taste
The best systems feel quiet. Clear boundaries, readable code, useful logs, clean data ownership, and fewer moving parts than the average agency build.
Production controls
Permissions, audit trails, retries, failure alerts, and handoff notes are treated as part of the product, not a cleanup phase after launch.
Day-to-day work includes SuiteScript 2.1, SuiteQL, QuickBooks to NetSuite migrations, Stripe, Shopify, ShipStation, Google Ads pipelines, customer portals, POS builds, SuiteCommerce, TypeScript, Node, Postgres, vector databases, Claude, and OpenAI APIs.
Working notes from real projects.
Permission-Aware RAG: The Problem Nobody Mentions in the Tutorials
Every RAG tutorial assumes one user, one corpus. Production at a real company means scoping retrieval to what the asking user can see. The pattern that works, with Postgres RLS and a refusal probe.
Read articleScheduled SuiteScripts That Hit External APIs: A Production Survival Guide
Three-tier error handling classified by HTTP code, circuit breakers for upstream outages, governance and wall-clock guards, and the field-stamp queue pattern. The shape of a scheduled script that survives a bad weekend at the upstream.
Read articleThe Init Check Pattern: Catching SuiteScript Configuration Drift Before Production
A self-validation pattern that runs once on first execution, verifies every custom field and API credential the script depends on, and alerts the admin with a fix-it link when something is missing.
Read articleIf this feels like the right level, send the rough version.
Describe the stack, the business problem, what is breaking, and what a good outcome would make possible.