I'm a backend engineer with 3.5+ years of experience building production systems for commerce, customer engagement, and internal operations. I focus on systems that remain fast, reliable, and maintainable as traffic and product complexity grow.
- Built high-traffic APIs and multi-channel workflows serving 200+ merchants daily
- Reduced latency by 70% with caching and query optimization
- Improved onboarding efficiency by 60% through indexing and process synchronization
- Built AI-powered operational tooling that reduced repetitive work by 40%
- Open to backend, product, and founding/early-engineer opportunities
| Area | Technologies |
|---|---|
| Backend | Node.js, NestJS, Express, GraphQL, REST APIs, Jest |
| Data | PostgreSQL, MongoDB, MySQL, TimescaleDB, ClickHouse, Redis |
| Cloud | AWS, Docker, Nginx, GitHub Actions, CI/CD |
| Architecture | Microservices, Kafka, event-driven systems, distributed systems, MCP |
| System | What I built | Core technology |
|---|---|---|
| KwikEngage AI Ops | MCP server connecting Claude with secure merchant operations APIs | Claude, MCP, Node.js, REST |
| File Management Service | Centralized media service with multi-resolution processing and CDN delivery | Node.js, S3, CloudFront, Redis |
| Commerce data pipelines | Shopify event stitching, analytics queries, and asynchronous processing | PostgreSQL, Kafka, GraphQL |
performance → indexing, query planning, caching, efficient APIs reliability → retries, idempotency, queues, failure isolation scalability → stateless services, event-driven flows, async processing maintainability → clear boundaries, observability, incremental modernization AI integrations → secure tools that improve real operational workflows
The graph is generated daily inside this repository, avoiding the rate limits of public stats-card endpoints.
I'm open to conversations about backend platforms, scalable APIs, distributed systems, practical AI integrations, and product engineering opportunities.