Software Engineer currently focusing on building backend platform infrastructure - distributed system, federated GraphQL, and AI developer tooling. Interested in scalability, maintainability, and how AI tooling is changing the way we solve problems.
A service that ensures the safety of 2,500+ GraphQL operations against schema changes across a supergraph - catching breaking changes before production release
A personal tool for turning rough prompt intent into production-ready LLM prompts through a 4-layer processing pipeline — expanding intent, selecting reasoning strategy, enforcing output schema, and optimizing for the target model.