- Language Selection (Work In Progress): Acted as a primary contributed to organization-wide discussions on Microservice languages, providing insights into our status quo Kotlin service language and the Go candidate service language. Led the first company project to develop a Go microservice.- Auth Service (Work in Progress): Researched microservice security best practices and internal security status quo, creating a proposal for the future of company microservice authentication Developed a comprehensive proposal addressing platform, security, and product engineering requirements, providing a durable solution to authentication needs.

- Q-Chat: Initially as an internal Tiger Team, we collaborated with OpenAI as launch partners for the launch of their Chat GPT API on March 1, 2023. I later served as Tech Lead of the long term Q-Chat team. Driving a multitude of rapid user experience tests and redesigning our internal API to seamlessly integrate Q-Chat with Quizlet products, enhancing the overall user experience.- OpenAI Dedicated Instances: Collaborated internally to collect and project OpenAI usage data for multiple new LLM-based Quizlet products over the next year. Conducted load testing of usage behavior against various OpenAI model instances, forecasting usage and performance statistics to determine our required capacity. Achieved 100% uptime during the critical BTS (back to school) time frame. Projected annual savings of $2M for Quizlet.- Braze Migration: Migrated Quizlet's marketing data pipeline from a monolith to a dedicated service, implementing durability with async work queues. Uncovered and repaired severe observability gaps, including rate limit issues with the provider, which had resulted in missing data. Improved throughput efficiency by up to 225x through batching, increasing max throughput per minute to 2.5M, ensuring accurate data delivery to the marketing team and providing headroom for increased platform usage.

- Connected Content: After optimization exploration in the original service language, Python, it was determined that a rewrite was the most effective way forward. In just two days the rewrite to Go was complete. The rewrite resulted in massively improved performance 83x faster average request latencies, and lower costs with an 87.5% discount for the same workload. This work was quoted in a Braze case study.

- Worked on matching team, building, maintaining and improving core business matching algorithms- Architected, coordinated, and coded design of high availability rematching service, rematching 40% of previous weeks total traffic in under an hour- Built a process for imbedding machine learning algorithms into the matching process- Designed, implemented and tested RESTful APIs for internal and external consumption- Spearheaded new unit testing framework implementation, allowing developers to better test and enforce API contracts

-Enhanced user experience by implementing modern AJAX calls to a REST API frontend pattern-Improved test strength and coverage by creating Junit and Mockito tests-Worked directly with customers to gather requirements for features-Created features with agnostic back-end services and intelligent UI designs

-Organized, assembled and set up data storage systems in development and testing lab-Used technologies such as SSH and Telnet to remotely manage and update settings and information on lab data storage systems -Enhanced lab hardware by removing outdated storage systems and installing new, updated systems in their place

• Prepared stations for food service, cleaning, and cooking• Handled Money and customer orders during rush times• Transported dishes to and from separate wash site• Worked both set up and tear down of event materials