• Integrated Kubernetes cross-cluster deployment and management into Go service while maintaining region isolation• Enabled cross-cluster monitoring by integrating distributed messaging system with Go service and Python applications• Optimized accuracy and reliability of LLMs by building Python service to integrate RAG strategy into LLM predictions• Connected Python apps to GCP and integrated with Gemini LLM• Preemptively observed and resolved issues on customer environments by building, deploying, and maintaining end-to-end sentinel• Added support for large DataFrame models by creating batch prediction feature within compressed timeline• Improved customer monitoring by exporting custom service metrics to AWS CloudWatch• Provided secure model visibility for customers by implementing asynchronous logging to AWS S3• Subject Matter Expert of custom Helm Kubernetes configuration• Enabled customers to quickly integrate LLMs into their applications by building dynamic and secure prediction APIs

• Contracting position with Nike Digital• Enabled customer notifications by creating communication constraints, delays, and actions via API• Updated multiple Scala services and libraries to enable communications in cases where member data is unavailable• Designed and implemented multiple new communication features

• Maintained service pipeline with Java and Kafka• Simplified customer onboarding process by enhancing Python script• Allowed customers to create and maintain alerts by building custom integration with AWS CloudFormation

• Slashed provider hits by adding Redis cache to Java service• Dramatically improved inter-team relationships by fostering regular feedback sessions • Increased positive visibility of team as the primary team contact• Rewrote Java APIs to use cache instead of NoSQL database• Quickly resolved critical software bugs• Facilitated Agile process as team Scrum Master

• Enhanced and debugged APIs in Java, PHP, and Scala services• Improved customer satisfaction by resolving data discrepancies in MySQL databases • Increased team effectiveness by facilitating biweekly meeting to define team goals • Documented complex PHP service by creating software architecture diagrams • Added error monitoring to internal development tools with PHP and HTML5

Spring 2016 - CSc 127b, JavaFall 2016 - CSc 110, Python• Taught computer science concepts to new students during weekly lab sessions • Developed debugging and problem-solving skills during lab hours• Graded homework and exams

• Allowed for advanced terrain capabilities by updating simulation software in C++ • Increased simulation accuracy by creating and integrating clouds• Presented achievements to senior employees• Built augmented reality game at first annual Hackathon• Wrote Matlab scripts to sort telemetry data• Modified 3D target models