Capabilities That Ship

Build full-stack React applications that can move from a mobile-first product interface to edge-deployed production routes.

Shape installable, responsive product experiences that remain useful on a phone while supporting authenticated application state.

Turn messy real-world rules, applicability, projections, and uncertainty into explicit types and deterministic functions that can be tested.

Carry identity and paid access through setup, checkout, webhooks, database policies, cancellation, and data-control paths.

Use hosted checkout and webhook-confirmed state to keep payment details off the app and make membership access reflect the payment system.

Persist account-scoped product data with relational structure, ownership checks, and row-level security rather than trusting client-side gates.

Design grouped, deduplicated, retry-safe reminders that stay useful without creating notification noise or duplicate writes.

Pin domain logic, authentication, reminder behavior, privacy controls, and subscription states with focused tests before relying on the UI alone.

Build fast, content-rich websites with interactive islands only where they remove friction.

Create guided calculators, configurators, intake flows, and responsive product interfaces.

Model pricing rules, validation, UI state, and integrations with maintainable application logic.

Turn structured content into accessible, responsive interfaces with consistent visual systems.

Consolidate drifted components, spacing, typography, colors, and shared primitives without changing the user-facing experience.

Keep familiar editorial workflows while delivering a faster, independently controlled frontend.

Translate product and project rules into clear estimates buyers can understand and act on.

Collect the context a sales team needs without forcing every buyer through a generic form.

Turn structured product data into consistent, search-friendly pages at scale.

Pair Shopify commerce operations with a faster, more flexible customer-facing experience.

Organize pages and follow-up around buyer questions, qualification, and the next useful action.

Build service and location structures around how nearby customers actually search and evaluate providers.

Correct crawl paths, canonical signals, metadata, and information structure across production sites.

Improve loading, responsiveness, and layout stability on the customer journeys that matter most.

Audit and repair navigation, forms, document structure, contrast, and assistive-technology cues.

Describe businesses, services, products, and page relationships with validated structured data.

Organize service pages, location pages, FAQs, product data, and supporting content so humans and search systems can understand the site.

Apply structured, direct, well-supported content patterns that make important answers easier for AI answer engines to retrieve and represent accurately.

Keep business names, services, locations, FAQs, and page relationships consistent so search crawlers and answer systems can extract the right facts.

Connect UTM-tagged content, form-source tracking, and phone-call or submission data to the same lead pipeline used for web performance.

Create repeatable checks for crawl paths, metadata, structured data, links, rendering, performance, and production regressions.

Form conversion hypotheses, isolate changes to key journeys, and connect improvements to qualified inquiries rather than traffic alone.

Understand the role of localized page variants, language and regional signals, canonicalization, and hreflang implementation in global search architecture.

Arrange offers, proof, buyer questions, and calls to action in a clear decision sequence.

Set up and manage paid search campaigns — keywords, ad copy, and landing-page alignment — so paid traffic reaches pages built to convert it.

Run organic content and paid campaigns on Instagram and Facebook for client businesses, with UTM-tagged links and form-source tracking so submissions and calls can be attributed back to a specific post or campaign.

Deploy fast sites and serverless request handlers close to users without maintaining servers.

Protect domain changes, consolidate legacy URLs, and keep search and customer traffic moving safely.

Choose lightweight databases, key-value storage, or object storage according to the workflow.

Ship reviewable changes with a clear history, isolated fixes, and repeatable releases.

Reduce latency and origin work while keeping redirects and dynamic routes predictable.

Connect forms and applications to the systems that need to receive or act on their data.

Re-check form inputs, uploads, allowlists, lengths, and security signals on the server before trusting a submission.

Normalize customer inputs into useful CRM fields, statuses, ownership, and follow-up stages.

Send timely internal alerts and customer confirmations without blocking or losing a lead submission.

Use familiar operational spreadsheets as controlled inputs or outputs inside connected workflows.

Use managed automation and messaging tools when they are the simplest reliable fit for the process.

Build and send campaign and nurture emails — newsletters, promotions, and automated follow-up sequences — using platforms like Mailchimp and ActiveCampaign, separate from the transactional emails triggered directly from application code.

Trace production sites across source, rendered behavior, links, accessibility, SEO, and operational workflows to find hidden drift.

Protect pricing, validation, and interaction logic with known-good cases and before/after checks.

Reproduce live bugs in isolated scripts or browser sessions, fix the underlying cause, and verify the same path afterward.

Check fixes against the rendered site on real viewports so layout, interactions, and accessibility behavior match the code.

Handle customer files, order records, notifications, and failure states so active transactions are not silently lost.

Accelerate bounded development and content tasks while keeping validation and review explicit.

Choose models by task and place them inside structured, reviewable workflows rather than open-ended automation.

Convert inconsistent source material into predictable records for search, content, and operations.

Check required fields, types, ranges, and business rules before information reaches production systems.

Constrain AI outputs with clear instructions and schemas that downstream tools can verify.