End-to-end products with API contracts, responsive interfaces, and data models built for real production access patterns.
A product feels simple to a customer only when the UI, API, and database agree. I work across all three because most expensive bugs live in the seams: a polished screen built on a slow query, an API contract that cannot evolve, or a background process that behaves differently under real traffic.
The recurring lessons are unglamorous and valuable. A missing index can look like a scaling problem. An unbounded connection pool can take down a healthy database. A GraphQL schema can expose a path nobody meant to make cheap. Concurrent writes will eventually race. I start with access patterns, query plans, contracts, and failure states—then use the right mix of transactions, caching, search, queues, and UI feedback to keep the system fast and honest as usage grows.

View Technical Details

View Technical Details

A client was sure they'd outgrown Postgres and wanted more pods, replicas, and shards. The real problems were one missing index and a connection storm — two-day fixes, not a re-architecture.
Read Insight

Key insights and best practices learned while building production GraphQL APIs
Read Insight
query GetUserPosts($limit: Int!) {
user {
id
posts(limit: $limit) {
id
title
createdAt
}
}
}Key Learning: Implementing DataLoader for N+1 query prevention
const consumer = new Kafka({
clientId: 'app-consumer',
brokers: ['kafka:9092']
}).consumer({ groupId: 'payment-group' });
await consumer.subscribe({ topic: 'transactions' });
await consumer.run({ eachMessage: processor });Key Learning: Parallel processing with automatic rebalancing
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