• Integrated third-party APIs and microservices end-to-end:

designing, monitoring, and vetting APIs, as well as diagnosing issues

and collaborating with external technology teams to resolve issues

quickly and efficiently

• Built secure and reliable workflows incorporating customer APIs for

a seamless, intuitive end-user experience

• Continuously tested, evaluated, and improved upon existing

systems, such as making services configuration-based to allow for

faster integration

• Mentored junior engineers on a geographically

distributed team on best practices, code reviews, scalability

considerations, optimal design patterns

• Built and maintained a complex end-to-end testing environment, that consisted of micro-services, Flask & NodeJS APIs, machine learning applications, and PostgreSQL databases to ensure data integrity before releases.

• Developed robust micro-service production applications with Python, RabbitMQ, and Postgresql to support the buying pipeline of a national linear television ad sales platform AudienceXpress.

• Dockerized various parts of the ad-sales platform and analyzed data to create a dynamic A/B testing system.

• Provided internal tools that allowed other Python engineering teams to be able to test complicated Linear Optimization software as part of the CI/CD system.