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Platform Architecture & Engineering Consulting

Antonio helps companies design and evolve adaptable platforms around stable business capabilities. The work spans modernization, commerce architecture, enterprise integrations, APIs, distributed systems, cloud reliability, and architecture consulting. Based in Fresno, he serves Central California businesses and remote teams across the US.

Start with the business problem

Choose the decision you need to make

The right engagement depends on the risk and decision in front of the business, not a technology label. These are the three most common starting points.

Detailed capabilities

The delivery shape can range from a focused review to hands-on architecture and implementation support.

Platform Architecture & Modernization

Evolve valuable systems without turning every vendor, database, or infrastructure change into a rewrite of core business behavior.

  • Capability boundaries and current-state architecture assessment
  • Incremental modernization and migration sequencing
  • Vendor and persistence decoupling where replacement is plausible
  • Rollout, reconciliation, observability, and rollback planning
Review platform modernization consulting

Commerce Platform Architecture

Design pricing, payments, loyalty, fulfillment, analytics, and finance capabilities that can evolve independently of a single commerce vendor.

  • Commerce capability and source-of-truth mapping
  • Shopify, NetSuite, payment, loyalty, and fulfillment boundaries
  • Reconciliation, exception handling, and operational visibility
  • Vendor migration and new-channel readiness
Explore commerce integration architecture

Enterprise Integration Architecture

Connect ERPs, CRMs, commerce platforms, payment systems, analytics, and internal tools with clear ownership and recoverable failure behavior.

  • Source-of-truth, identifier, and lifecycle contracts
  • Idempotent webhooks, queues, jobs, and APIs
  • Retries, replay, reconciliation, and exception workflows
  • Cross-system operational and financial reporting
Explore systems integration

API Platforms & Distributed Systems

Create API and distributed-system foundations that make delivery safer, onboarding faster, and production behavior easier to operate.

  • Stable business-facing APIs and integration contracts
  • Reliability patterns for retries, idempotency, and partial failure
  • Developer platform standards and lower-friction onboarding
  • Modular boundaries sized for the team that operates them
Explore adaptable platform development

Cloud Reliability & Cost Optimization

Improve the availability, deployment safety, observability, and infrastructure economics of platforms the business already depends on.

  • Workload, architecture, and infrastructure cost assessment
  • Deployment, rollback, observability, and incident-readiness review
  • AWS service and network architecture tradeoffs
  • Measured optimization before platform rework
Review platform reliability and cost

Fractional Principal Engineer & Architecture Advisory

Add principal-level architecture judgment close to delivery when the team needs senior direction but not another full-time executive.

  • Architecture decisions tied to business constraints
  • Platform roadmaps, standards, and delivery sequencing
  • Vendor, build-vs-buy, and key-hire support
  • Mentoring and architecture review for lean teams
Explore fractional architecture support

Architecture Review & Technical Due Diligence

Get an independent, evidence-based assessment before committing more budget to a rebuild, vendor, acquisition, migration, or scale-up plan.

  • Codebase, architecture, data, integration, and deployment review
  • Vendor proposal, platform, and migration assessment
  • Technical risk ranking with business consequences
  • A practical stabilize, migrate, build, buy, or stop recommendation
Explore technical architecture review

Controlled AI Workflow Integration

Use AI inside a bounded business workflow where the inputs, permissions, human review, failure path, and measurable value are explicit.

  • Workflow and data-boundary assessment before model selection
  • Human approval before consequential business-system writes
  • Validation, auditability, permissions, and exception handling
  • Pilot economics before broader automation investment
Explore controlled AI integration

Not sure which engagement fits? Describe the business capability, platform risk, and systems involved. Antonio will recommend the smallest responsible next step.