I'm an open-source data systems contributor working at the hard boundaries between query engines, lakehouse formats, and index infrastructure. I turn correctness, durability, compatibility, and performance problems into tested upstream changes.
- Correctness and durability: WAL generations and fencing, cache/object-store lifetimes, weak-memory concurrency, safe FFI boundaries, overflow and NULL semantics, and failure propagation.
- Query and index behavior: SQL compatibility, Parquet pruning, HNSW/IVF algorithm alignment, and vectorized Arrow execution.
- Lakehouse interoperability: Iceberg/Paimon/DuckLake metadata, time travel, delete and rewrite paths, plus safe cross-language APIs.
I mostly work in Rust and C++, following problems into Java, Python, Node.js, or C when the boundary requires it. I favor explicit invariants, compatibility-preserving changes, reproducible failures, and benchmarks that explain—not merely report—performance.
Contributions include Lance/LanceDB, DuckDB/DuckLake, and Apache projects such as Doris, DataFusion/Comet, Iceberg, and Paimon.
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Correctness & portability — ARM64 and weak-memory hardening across DuckDB, Paimon C++, and Doris.
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Index algorithms & lifecycle — audited Lance HNSW against the paper and fixed level-0 search; building Doris × Lance indexing from
SHOW INDEXand distributed segment builds to durable jobs. -
Query & lakehouse semantics — added Parquet
INTERVALBloom pruning, protecteddecodeinput immutability, and found and fixed mixed-engine Paimon watermark failures, alongside Rust batch time travel. -
Performance — vectorized Comet decimal execution (~9–11×) and removed Lance bitpacking copies (13–22%).
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Durability — made Lance MemWAL close propagate final flush failures instead of returning false success.
Selected upstream contributions: 50 merged pull requests across 14 repositories.