I work primarily with Go, designing distributed services and APIs that perform under pressure. Whether it’s Kafka pipelines, Redis optimizations, cloud-native storage, or real-time systems, I enjoy diving deep and finding practical, high-performance solutions.
My experience spans from data modeling in Cassandra and PostgreSQL, to managing infra using tools like Docker, Kubernetes, and S3-compatible storage. I’m also intrigued by modern compression, Apple Silicon GPUs, and efficient data handling (think Protocol Buffers + Zstd).
When I’m not debugging production flows or contributing to open-source, I’m probably writing about what I’ve learned — or just testing out another crazy idea in Go.