Project & Experience

Built to scratch a personal itch of understanding how log pipelines work, not how it is done in the real world.

Designed a distributed image-processing pipeline using concurrent Go workers and multi-queue orchestration, achieving 4.29 jobs/sec throughput with strong performance under heavy load.

Developed a production-grade reverse proxy in Go with intelligent HTTP caching, Redis-backed storage, and request coalescing for high-performance, low-latency response delivery.

Built a full-stack real-time stock alert platform using SSE, Redis Pub/Sub, and Flutter, enabling instant notifications and live market monitoring across devices.

Building a relational database system in Go with custom B+ trees, SQL parsing, ACID transactions, and a buffer pool to explore database internals deeply.