I am a software engineer, and I write here mostly to understand things properly.
Most of what ends up on this site starts as a question I could not answer well. I read, take notes, and then write the explanation I wish I had found in the first place. Publishing it forces me to be honest about the parts I only half understood, which is where most of the value turns out to be.
My interests run toward systems work, and distributed systems in particular: the storage, compute, and analytics infrastructure that everything else gets built on. I especially enjoy building control planes, where one good decision improves things for every customer at once, and I keep digging into the data plane for the opposite reason, because that is where a single customer’s experience gets measurably faster or more reliable. I take real pride in the craft of it.
I go to meetups and conferences as often as I can. Recent ones include the Cassandra, DataHub, Iceberg, RocksDB, and Flink meetups, along with Data Orchestration Summit, MoneyCon, MongoDB.Local Build Fest, and @Scale.
Right now that curiosity points at LLM serving and inference (vLLM), the compute infrastructure behind agent sandboxing with containers and microVMs, and AI tools like Claude Code/Codex. I lean on those tools to learn faster and build more than I could on my own, which is the part I find genuinely energizing. It is a good time to be a software engineer. Some of this lives in projects as standalone learning repos, and the rest shows up in posts.