• Built out Auto Detection and Fast Failover product prototype by working with three colleagues to develop a React/Spring application to manage load balancers

• Increased test coverage from 0% to 100% using JUnit and Mockito

• Gained experience with industry practices including Agile, code reviews, and branching etiquette

• Redesigned account monitoring system with Python, Prometheus, and Grafana, then added new health metrics and real time draw down alerts

• Increased build and deployment of C++ programs consistency across operating systems by developing custom Docker containers

• Supported new trading strategies by adding features to C++ market making systems

• Enabled algorithm development on two new exchanges by developing scripts to ETL data from dydx and Uniswap into MongoDB, utilizing Python, GraphQL, and pm2

• Increased user productivity by establishing best API practices through implementing and debugging users’ Python and C# algorithms on community forums

• Implemented academic papers as Python trading algorithms, demonstrating the usage of data science libraries that include pandas, matplotlib, and Keras