• Proposed, designed, and built a data enhancement microservice (using AWS State Machines, SQS, SNS, Lambda, and DynamoDB) that utilizes an external API and is used by other internal microservices

• Implemented and continuously improved a modern Data Lake

• Aided in building a modern serverless daily reporting system using AWS State Machines and AWS Lambda on top of this Data Lake, replacing a legacy monolith reporting service

• Designed and implemented a set of Snowflake pipelines (in less than one month) for a visualization feature that immediately resulted in $250k of annual recurring revenue in the sales pipeline

• Shared my knowledge and expanded my own in the company’s internal Data Guild, Microservices Group, and API Guild

• Aided in the weekly release process, as part of the Release Squad

• Leveraged my experience to improve the performance of my team by mentoring less-experienced engineers and giving demos and talks to the wider company

• Proposed, designed, and implemented a “driver preference” machine learning product, which integrates into the driver routing algorithm

• Implemented a Data Lake project using Terraform and AWS

• Led a driver end of day summary API endpoint project

• Implemented numerous client reporting and analytics features

• Mentored 10+ interns, as well as new hires

Designed and implemented a dynamic and interactive client-facing data visualization dashboard for the product's web application using D3.js. Gained additional front-end experience HTML, CSS, JavaScript, and Polymer.

Work primarily on Media Cloud, the Center for Civic Media's joint project with the Berkman Center for Internet & Society. Responsibilities include debugging a geotagging feature of the database, creating a visualization website for a civic project using D3.js, and conducting investigations using the tool.

Assisted the class with using audio and video capturing devices and editing tools.