At Charles Schwab, I build and maintain services that support trading-platform data integrity and uninterrupted processing. I diagnosed recurring security-mapping failures, created cross-team documentation adopted as the source of truth, and adapted Spring Boot consumers to breaking upstream API changes.
I've designed end-to-end logic to eliminate replaceable busted transactions and reduce unnecessary database load. I also built a parallel Python pipeline across roughly 3,700 accounts, cutting snapshot validation runtime by about 10x and producing structured results for SRE triage.
I work across Java, Spring Boot, MySQL, Hibernate, Python, and internal APIs, including API contract changes, security remediation, and end-to-end validation. Earlier at Schwab, I engineered RESTful endpoints for failed-transaction workflows and documented them with Swagger/OpenAPI.
Outside of production services, I build quantitative finance tools, including a Hidden Markov Model regime detector and a dealer gamma exposure engine using live options chains, FastAPI, and Black-Scholes-Merton calculations.
