Built a versioning system for medical terminology data using Go, Java, and Snowflake, improving ingestion traceability and ensuring data integrity across updates.

Developed ReactJS front‑end tools that helped researchers efficiently query complex medical terminology and identify relevant patient cohorts.

Designed optimized database schemas to reduce storage overhead and speed up query performance across versioned data.

Created comprehensive unit and UI test coverage with Cypress, Jest, and Storybook, cutting post‑release bugs and increasing deployment confidence.

Reduced backend API response times by 75% through endpoint optimization (Groovy) and improved query logic.

Developed AWS Lambda‑based microservices in Python and TypeScript, enabling modular scaling and easier code maintenance.

Refactored complex SQL schemas to normalize data structures, doubling query performance and improving data clarity.

Built interactive React dashboards with marketing performance visualizations using Highcharts, enhancing user experience and engagement.

• Migrated a web app from Ember.js to React.js, streamlining the development workflow and increasing efficiency

• Overhauled the web app's UI for more intuitive navigation and user satisfaction

• Built and optimized an advanced search function for a student/staff directory

• Implemented continuous integration with Travis CI for a C# REST API, reducing the API deployment overhead by 25%

• Configured and deployed Microsoft App-V in preparation for a deployment of thin clients for our users

• Built and configured virtual machine images to test new software installations before deployment

• Performed software and hardware upgrades to improve performance and data throughput

• Upgraded hard drive enclosures with faster storage media to improve capacity and reduce drive access time

• Performed hardware repairs, data and file backups, and software cleanup

• Troubleshooted software and hardware issues for help-desk clients

• Assigned client tickets to the proper teams