System Design
Architecture for workloads where indexing, filtering, throughput, and recoverability are core concerns.
Performance
Engineering decisions shaped by query patterns, storage costs, and real-world operational constraints.
Reliability
Safer persistence models, recovery behavior, and service boundaries for data-heavy systems.
Featured Project
LithicDB is the public proof point here
LithicDB
Disk-first vector database in Rust with ANN search, metadata filtering, and crash recovery. It is the clearest public example on the site for data infrastructure and backend systems work.