● Built new features for an internal payment visibility platform with 4k daily hits and indexing over 34m

payments, using React, Java, SQL deployed on AWS Lambda and DynamoDB.

● Improved user experience of payment visibility platform through load time improvements and refactoring (60% improvement in latency in one of the improvements).

● Migrated payment and invoice metadata to a new data store with no downtime.

● Wrote documentation and scripts to help engineers fix operational issues while on call, saving the team around 10 hours per week.

● Handled incidents while on call and coordinated with team to bring the amount of tickets from over 500 to around 200 over three months.

• Created a full suite of automated tests for the company's REST API using pytest.

• Implemented a full Python library to interface with the company's REST API, with associated tests.

• Refactored a (general) counting functionality for all data types internally.

• Wrote custom code to integrate a third-party automation system with OpenAsset REST API.

• Onboarded clients onto the company's Digital Asset Management (DAM) system, migrating TBs worth of image assets onto the servers via Python scripts and API calls.

• Implemented Indesign-, PowerPoint-, and Word-based templates for clients that dynamically pull metadata from the company's servers.

• Streamlined the template creation process and sped up template creation from several weeks per template to hours per template.

• Spearheaded comprehensive documentation for both data migration and template creation which allowed new Support Engineers to be fully onboarded to their position within two weeks (formerly months).

• Implemented websites and backend scripts that collect Facebook statuses, photos, and other information as part of psychology studies

• Implemented Google Maps-based website that displays demographic and language-based data of the USA on a county-level

• Wrote custom framework to upload thousands of tasks into Amazon MTurk

• Wrote script to monitor collection of Twitter’s public stream and user timelines

• Facilitated server access for many permanent and temporary users, on- and off-site

• Managed large-scale MySQL databases and started documentation effort of datasets