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.
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Jun 29, 2025 · 5 min read · Whether you're building a graphics editor, optimizing images for the web, or preprocessing data for machine learning, understanding how images are stored, compressed, and processed is essential. This blog dives deep from the basics of image matrices ...
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