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Node.js • PostgreSQL • APIs • Architecture

Backend Systems & API Engineering

Reliable backend systems, robust APIs, and relational database architectures.

Target Audience

Engineering leads, CTOs, and founders seeking solid API engineering, clean database design, or refactoring for slow database queries.

Core Capabilities
  • RESTful and GraphQL API services
  • Node.js, Express, and NestJS server architectures
  • PostgreSQL and MongoDB relational/document modeling
  • Type-safe database layers with Prisma ORM and Drizzle ORM

Architectural Pillars

1. Normalized Relational Models

Carefully designed PostgreSQL schemas with foreign keys, composite unique constraints, and deliberate indexing that prevent corrupt states.

2. Type-Safe Contract APIs

End-to-end type safety between backend and frontend via TypeScript, Zod schema validation, and structured error responses.

3. Idempotent Integrations

Payment and third-party webhook handlers designed with idempotency keys to ensure duplicate events never cause double-charges or corrupted logs.

Featured Backend Implementations

Backend & API FAQ

Can you work with an existing backend or legacy database?

Yes. I routinely audit existing schemas, add Prisma or Drizzle ORM layers, optimize slow queries through proper indexing, and build backwards-compatible API extensions.

PostgreSQL or MongoDB: which do you recommend?

For 90% of business applications involving transactions, orders, users, and schedules, PostgreSQL with relational constraints is the most reliable choice. MongoDB is great for unstructured logs, flexible dynamic documents, or catalogs.

How do you ensure API security?

All endpoints implement strict input sanitization, parameterized queries to prevent SQL injection, rate limiting against brute-force attacks, and scoped authorization tokens.

Need reliable APIs or a modern relational database?

Let's map out your entity models and design an API layer built for scale and maintainability.