I am a C++ systems software engineer focused on low-level performance, memory alignment, and high-throughput spatial telemetry pipelines. My recent work centers on building zero-copy binary parsers and native DuckDB extensions that bridge raw edge hardware streams directly into modern analytical query engines.

I specialize in maximizing hardware efficiency and eliminating data ingestion bottlenecks by:

• Low-Level Binary Processing: Navigating raw byte streams, dynamic header layouts, and zero-copy memory mapping (`mmap`, `std::memcpy`, packed structs) without relying on bloated third-party abstractions.
• Vectorized Engine Extensions: Architecting native C++ extensions for engines like DuckDB to bypass text-conversion penalties and run high-speed spatial SQL directly on raw telemetry files (`.ulg`).
• Mechanical Sympathy: Optimizing for CPU L1/L3 cache lines, SIMD vectorization, and minimal instruction cycles to process gigabytes of telemetry data at hardware-native speed.

I am passionate about writing dependency-free, hardware-aware software that unlocks real-time analytical utility from complex robotics, drone, and spatial data streams.