Hi, I'm Jorge Castillo

A highly responsive, cloud-native Point of Sale and operations management platform optimized for restaurant and bar workflows.

• Architected a comprehensive restaurant operations ecosystem, centralizing multi-location asynchronous ordering, real-time kitchen tracking, and live analytics.
• Designed and executed a scalable Tiered Subscription architecture supporting multi-tenant isolation, inventory thresholds, and granular RBAC controls.
• Optimized runtime data syncing and state hydration to deliver measurable client metrics, including a 30% boost in service speed and a 25% drop in order errors.

A framework-agnostic, type-safe foundation implementing Domain-Driven Design (DDD) primitives for highly maintainable enterprise applications.

• Engineered core domain abstractions—including Entities, Value Objects, Criteria patterns, and a robust Unit of Work (UoW) layer—to enforce strict architectural boundaries.
• Designed fully decoupled infrastructure providers (AuthProvider, HTTPProvider) leveraging Dependency Inversion, allowing effortless hot-swapping between Node.js runtimes, frontend frameworks, or serverless environments.
• Developed a type-safe JSONAPIConnector integrating complex industry-standard query and data formatting schemas directly into an expressive domain model.

A type-safe data access object layer that provides clean repository abstractions over Firestore persistence, bridging infrastructure and domain layers.

• Implemented a robust implementation of the Ports & Adapters (Hexagonal) architecture, sealing off low-level Firestore mechanics from the core business logic.
• Engineered a declarative Criteria object engine to standardize complex collection querying, drastically simplifying unit and integration testing workflows.
• Eliminated boilerplate repository code across consuming applications by abstracting raw Firestore reference and mutation logic into a unified, high-level API.

A structural wrapper that converts raw client-side IndexedDB persistence into a clean, type-safe, domain-driven Data Access Object.

• Bridges frontend domain models with browser hardware storage, providing a standardized query and transaction layer modeled after clean architecture repository patterns.
• Abstracted low-level event-driven IndexedDB callbacks into modern, type-safe async/await Promises to prevent asynchronous state leakage within the UI.
• Ensures reliable client-side data mutations by integrating transactional boundaries natively across object stores.

A high-performance caching proxy layer built to decouple application logic from explicit Redis key management and expiration strategies.

• Developed a type-safe caching layer that encapsulates data serialization, distributed locking mechanics, and TTL-driven eviction patterns.
• Implements clean infrastructure decoupling to allow applications to switch between memory caches or remote clusters seamlessly through strict interface abstractions.
• Mitigates cache stampede and read/write consistency degradation in high-throughput database systems.