I build high-throughput backend data systems, asynchronous pipelines, and query infrastructure: AST parsing, dialect compilation, streaming runtimes, and physical operator pipelines that scale under high concurrency.
My focus is execution engine correctness & data infrastructure: building deterministic query plan visitors, optimizing asynchronous worker pipelines, and eliminating query side-effects during planning.
Bridging logical relational algebra with reliable backend execution: dialect-specific AST lowering, query planner lifecycle correctness, distributed task scheduling, and clean separation between compilation and state mutation.
- 2,956+ contributions in the past year across open-source data tooling, backend infrastructure, and cloud systems
- Contributed to open-source security standards, networking architectures, and query engines
- Specialty: AST optimization, asynchronous runtime execution, distributed caching, and Linux-first system engineering
- OpenCRE - Contributed frontend E2E migration to Cypress for the OWASP OpenCRE security framework (PR #984)
Data infrastructure should not rely on black-box assumptions. The reliable version requires deterministic query plan lifecycles, clear execution boundaries, resilient distributed caching, and systems that maintain strict separation between compilation, optimization, and state mutation. That is the layer I care about engineering.
Open to engineering roles and technical discussions around database engines, query optimizers, and low-level systems infrastructure.