Senior Systems and ML Infrastructure Engineer

The profile is a systems and ML infrastructure engineer focused on building performant, predictable, and reliable LLM-powered tools at scale. Key strengths include deep infrastructure optimization, designing custom binary formats, optimizing inference serving pipelines, and debugging platform-specific runtime issues (e.g., ROCm/HIP on AMD hardware). The individual is an open-source contributor, having fixed bugs in projects like Gin-Gonic and Canonical/Pebble. Notable projects include Eulix, a production-grade code intelligence system built with Rust, Python, and Go, capable of parsing 26M lines of code in under 60 seconds and serving sub-300ms queries with 98% accuracy. Other projects include Vanish (Go-based rm alternative) and Tyr (Rust-based ML file organizer). The profile is seeking an engineering-first team to tackle challenging infrastructure problems at the intersection of systems programming and AI.