Built multiple pieces of a highly scalable, high traffic system to display marketing campaigns in an overlay across the Amazon site.

• Integrated with DynamoDB to customize the campaigns for each customer.

• Reduced content fetching time from 40ms to 1ms by defining (TypeScript AWS CDK) and integrating (Java) an ElastiCache cluster.

• Enabled confident continuous deployment by vouching for and delivering end to end testing with >80% integration test coverage.

Designed, drove consensus on, and implemented a solution for baking features into the Amazon checkout experience (>1 million impressions each day).

• Communicated with AmazonSmile and Amazon checkout stakeholders to create a solution that caused positive engagement with AmazonSmile retail customers while maintaining checkout latency.

• Created a CloudWatch dashboard (TypeScript AWS CDK) to keep track of service health and to display important business metrics.

• Led knowledge sharing sessions to educate the team about my work and how they could expand it.

Performed on-call duties.

• Drove operational health by actively preventing, identifying, root causing, and addressing system issues outside of the normal development process.

Incorporated feedback from others and provided feedback to others during code reviews.

Balanced the needs of retail customers, charities, and internal teams in my everyday work.

Designed, implemented, and launched a daily workflow to publish AmazonSmile Charity List data to Salesforce.

• Wrote a SQL query to combine and manipulate Charity List data from four different large data tables. Used sort keys and temp tables to shorten query duration by 75%.

• Used Salesforce Java API to batch upload Charity List data to Salesforce.

Researched and developed open-source pharmacokinetic models to predict the movement of a drug in a pregnant woman of varying gestational age. This is rarely studied as there is a lack of real-world data against which models can be validated, due to increased risk with such subjects.

Studied formal concept analysis and concept lattices as tools to organize medical data and represent it graphically for physicians in a more easily understood fashion.