Available for select engagements
I help growing SaaS and e-commerce teams design, stabilize and scale backend systems, integrations, and cloud infrastructure.
| Engagement | Domain | Metric |
|---|---|---|
| Cloudflare Worker Rescue | Production Rescue | 66% Smaller worker bundle |
| AI Assistant Re-architecture | AI / Backend Architecture | ~80% Fewer AI credits per request |
| Subscription Commerce Infrastructure | E-commerce Integration | 60+ Lambda functions in the platform |
For growing SaaS teams that have outgrown their initial architecture.
Architecture reviews, multi-tenancy, authentication, data modeling, APIs, queues, cloud infrastructure, observability, and technical roadmaps.
Best for teams that need Staff-level technical guidance without another full-time hire.
Request an architecture review
For commerce teams connecting storefronts to the systems behind them.
Shopify, BigCommerce, Miva, subscription platforms, ERP and CRM integrations, webhooks, order and inventory workflows, and event-driven middleware.
Discuss an integration
For teams dealing with production problems that do not have obvious answers.
Performance, cold starts, dependency bloat, deployment failures, race conditions, reliability, observability, and difficult backend bugs.
Request a technical audit
Untangling backend architecture before complexity turns into outages, stalled delivery, or a team that is afraid to touch core systems.
Commerce, ERP, CRM, billing, subscriptions and legacy APIs — designed with retries, idempotency, state tracking and observability, instead of optimistic glue code.
Cold starts, runtime limits, dependency bloat, queues, concurrency and production reliability across AWS Lambda and Cloudflare Workers.
Tool calling, agent loops, structured actions, context design and cost control for AI features that already exist and are not performing well.
A production backend had stopped shipping. The pipeline reported success on every run, so nothing looked wrong until the deployed code turned out to be older than the commits behind it.
66% Smaller worker bundle
Read case study
An in-app AI assistant was giving weak answers and consuming credits fast. Prompt tuning had not fixed it, because the problem was not in the prompt.
~80% Fewer AI credits per request
Read case study
A subscription-commerce operation needed its lifecycle, imports, notifications and integrations to live somewhere deliberate rather than spread across whichever platform happened to own each step.
One auditable integration layer owning subscription lifecycle state, instead of five systems each holding part of it.
Read case study
Fractional
Staff-level technical judgment for teams that need stronger architecture decisions before they need another full-time senior hire. I work with small engineering teams as a fractional backend and platform architect, with enough embedded context to make the decisions that compound.
Typical engagements run ~20–40 hours a month, with recurring weekly availability.
Growing SaaS teams · founder or CTO-led engineering · roughly 2–30 engineers · products where backend complexity is outgrowing the structure around it.
A typical engagement
Architecture across authentication, multi-tenancy, billing, MLS integrations, Cloudflare Workers, PostgreSQL and in-app AI workflows.
AWS serverless middleware across ReCharge, Shopify, Klaviyo, data imports and exports, notifications and subscription lifecycle operations.
Event-driven Miva-to-ERP order and inventory synchronization using Lambda, DynamoDB, SQS, EventBridge, webhooks and audit state.
Also BigCommerce, Miva, HubSpot CRM, Storyblok, Cloudflare Workers, commerce themes, compliance workflows and internal developer tooling.
Local-first, git-friendly API client spanning REST, GraphQL, SOAP, WebSocket and gRPC in one TOML collection format — a Postman/Bruno alternative.
Pure-Rust fixed-income library — yield curve interpolation, parametric fitting and bond pricing — published to crates.io with zero third-party numerical crates.
Serverless disposable email — 10-minute inboxes free, 60-minute with custom domains on pro. Go Lambdas on Terraform-managed AWS, web and mobile in one monorepo.
About
I started in Electrical Engineering and moved deep into software, but the engineering mindset stayed the same: understand the system, find the constraint, and fix the underlying problem.
Today I work across backend architecture, cloud infrastructure, integrations and product engineering — especially where systems have accumulated enough complexity that the obvious solution is no longer the right one.