Herbert Smith · System Architecture Brief

From labor-heavy conversion to deterministic translation

The migration problem was not just syntax replacement. The real challenge was safely moving between database dialects while preserving execution contracts, procedural intent, and downstream assumptions. I built and performance-optimized a proprietary translation program that converted millions of lines of MariaDB-oriented SQL to Oracle-compatible output in roughly 12 seconds.

The staff-level value was in choosing an architecture that could reason about structure rather than rely on brittle string substitution. That meant modeling translation around abstract syntax and rewrite rules, then hardening the conversion path for the hard parts: datatype mismatches, dialect-specific functions, and stored-procedure complexity where small mistakes become expensive operational failures.

Build observable systems before incidents demand them

At Citi, I built and extended interceptor-driven request processing and surrounding backend framework patterns to make observability part of the architecture instead of a bolt-on feature. The goal was simple: when a service is under load, failing intermittently, or being audited, the system should already know how to explain itself.

That philosophy showed up in health checks, error logging, and data auditing embedded directly into the request/response path. This created safer production support conditions because availability signals, failure evidence, and historical traceability were treated as expected platform behavior — not left to one-off implementation quality in each endpoint.

Developer leverage via generative tooling

Developed a Kotlin DSL to model site structure as a typed system, using KSP to emit canonical HTML and metadata. This engineering posture removed repetitive decision loads and context switching by replacing manual authoring with type-safe scaffolding. The result: increased throughput and the elimination of implementation drift across delivery flows.