Backend engineering

Building scalable systems that power modern products.

I am a backend engineer with 3+ years of experience shipping production infrastructure for concurrent users. I focus on clean architecture, TypeScript-first codebases, and systems that are observable, testable, and resilient when things go wrong.

What I build

I specialize in backends that need to stay correct and fast as product surface area grows: bounded contexts, clear contracts between services, and operational signals that make incidents boring to diagnose.

  • APIs at scale

    High-throughput REST and GraphQL APIs designed for clarity, versioning, and predictable performance under load.

  • Real-time systems

    WebSocket architectures and streaming patterns that keep clients in sync without sacrificing reliability.

  • Event-driven backends

    Microservices and async pipelines that decouple domains, improve resilience, and scale with traffic.

Stack and principles

Day to day I reach for NestJS, PostgreSQL, and AWS, with TypeScript as the default language for shared types across services and clients. I care about naming, module boundaries, and making the “happy path” and failure modes equally explicit in code and in dashboards.

NestJSTypeScriptPostgreSQLAWSClean architectureObservability

Where I have shipped

Production systems I have contributed to span several domains. That variety shaped how I think about compliance, payments, real-time messaging, catalog and inventory, and learning progress—all with different consistency and latency requirements.

  • Dating & social
  • E-commerce
  • Learning (LMS)
  • Fintech

Owning the full backend lifecycle

I am comfortable owning work from design through deployment: sketching interfaces and data models, implementing with tests, packaging for reproducible runs, and shipping to the cloud with monitoring in place. I am effective as an individual contributor and as a technical lead—pairing, reviewing, and aligning the team on architecture without slowing delivery.

  1. System design and trade-off analysis
  2. Implementation with maintainable boundaries
  3. Testing with TDD and Jest
  4. Containerization and repeatable environments
  5. Cloud deployment and operational readiness

Writing

Notes on backend design, NestJS, data modeling, and running systems in production will appear here as posts go live.