I build data and storage engines in Go.
Most of my work is the unglamorous part of data systems: making things correct first, then fast, then small enough to fit the machine they actually run on. Right now that means two engines written from scratch — a dataframe library and a log store — plus production pipelines that have to stay quiet at 3am.
A dataframe library for Go, modelled on Polars
Lazy execution with a query optimizer, Arrow memory layout, SIMD kernels, and streaming execution that spills to disk rather than falling over. Pure Go — no cgo, no C++ toolchain, no Python runtime.
go get github.com/advenn/ursusA log storage engine with typed-range indexing
A single-node log daemon with a Loki-compatible API. Its differentiator is range queries on typed values pulled out of unstructured log text — answer duration > 200 in O(log n) without pre-structuring the data.
go run ./cmd/logd -config config.yamlI have spent the last weeks building ursus — a dataframe library for Go modelled on Polars. Lazy execution with a query optimizer, Arrow memory …
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