• Working on AWS Bedrock infrastructure to host and operationalize Nova foundation models across multiple AWS regions

• Designed and implemented scalable, secure infrastructure solutions to enable reliable regional model launches and high availability

• Collaborated with cross-functional teams to ensure launch readiness, performance, and operational excellence for production AI workloads

• Built and maintained deployment pipelines and infrastructure components, following AWS best practices for reliability, scalability, and fault tolerance

• Worked with AWS Aurora Performance Data Service team to optimize database performance, leveraging expertise in both Aurora SQL and PostgreSQL

• Designed and implement solutions to enhance query efficiency and throughput, ensuring seamless operation of data-intensive applications

• Developed and maintain database schemas, queries, and stored procedures, adhering to best practices for reliability and scalability

• Developed and tested machine learning models for core problem-solving and customer insights.

• Managed the end-to-end process, from selecting and preparing datasets to training and retraining models as required. Took a lead role in designing the machine learning engineering infrastructure, ensuring a robust and scalable framework for model deployment and maintenance.

• Explored and implemented innovative applications of machine learning within the business context.

• Teaching Assistant to Professor Susan Davidson for CIS550 Databases and Information Systems

• Key responsibilities include holding office hours and recitations, grading assignments, Beta Course Testing on Coursera and responding to student queries via Piazza.