Austin, Texas, United States
• Automated modernization of client legacy code and databases written in COBOL/IMS, transpiled to Java/SQL for easier maintenance and faster performance. • Mapped out/designed features for complete coverage of mainframe capabilities, handling exabytes of data. • Analyzed SQL queries and optimized performance bottlenecks, boosting speed by up to 15x for operations. • Enabled clients to visualize relationships between segments and easily load/unload databases using microservices built in-house on .NET and Spring, improving workflow efficiency by +40%. • Wrote 500+ unit tests in JUnit, Jest, and Selenium to verify feature-completeness and prevent regressions. • Provided necessary support during critical go-live periods, responding to live feedback to ensure a safe and smooth launch.
• Automated the simultaneous calculation of a variety of financial indicators in < 10ms utilizing parallel computation for machine learning predictions on the live market. • Engineered an internal language to facilitate indicator module setup for Python users. • Tech now used for back-testing neural networks on foreign exchange trading platform.
• Gathered relevant formulas from established literature and constructed a multi-strain bacterial simulation for a dynamic environment in MATLAB. • Enabled biology sector to quickly estimate bacterial reactions to specified environments.