Currently: Product engineering, backend systems, and cloud infrastructure
Focus: Memory management, distributed systems, performance engineering
Building toward: Deep systems work and research roles
Allocators using coarse-grained reclamation (slabs, arenas, epochs) can exhibit unbounded retention even when all objects are freed. A single long-lived allocation pins an entire granule. This work formalizes when bounded retention is possible and provides measurement tools validated on Redis, where deleting 50% of keys freed 195K objects but reclaimed 0 slabs
Components: Paper • Theory • Measurement • Reference Implementation • Validation
Event-driven systems can converge without coordination even when operations violate invariants and don't commute—if compensation is well-founded and commutative. This work identifies a third convergence regime alongside CRDTs and invariant confluence, where compensated results commute even though operations don't.
- WFC + CC conditions guarantee convergence via Newman's Lemma
- Verification calculus reduces global CC obligation to local per-event-pair checks
- Build-time verification tools with exhaustive state-space enumeration
Components: Paper • Landing Page • gsm Library • nccheck Verifier
Extends normalization confluence to federated environments where multiple registries are connected by morphisms encoding cross-organizational constraints. For tree-shaped networks, proves federated convergence requires only morphism validity preservation—all other conditions derive from network acyclicity via an authority argument
- Authority argument: Source normal forms deterministically control target shared components
- Federated construction: Reduces multi-registry problem to single-registry case
- Necessity proofs: Acyclicity required (cyclic morphisms cause compensation cycles), validity preservation required (morphism repair and local compensation oscillate)
Components: Core Paper • Federated Paper • gsm Library • nccheck Verifier
Languages:
Platforms & Shells:
Developer Tooling:
Artificial Intelligence:
- Product Engineer
- Cloud/Platform & backend engineer: APIs, Infrastructure as Code, Automation
- Compliance Automation for FDA-regulated systems
- Exploring blockchain security and on-chain systems
- Building developer tooling: secrets orchestration, reproducible environments, and CLI workflows


