• Architect and develop a greenfield JavaScript and React web app using Node.js and Next.js for carbon accounting simulations

• Implement spatial visualizations of simulation results using OpenLayers for mapping

• Develop microservices in Python and improve runtime stability

• Utilize GCP Cloud Functions, Cloud Storage, Kubernetes Engine, and Firebase

• Work across teams with diverse experience and backgrounds to develop solutions

• Contribute to an educational web app with a JavaScript and React front end and TypeScript back end, both utilizing Node.js

• Design cohesive and capable APIs for data processing and database management

• Refactor parts of the app’s back end to improve response time from 3 seconds to less than 300 milliseconds

• Implement reporting section of the app with data visualizations and downloadable CSV reports

• Utilize AWS Lambda, S3 storage, RDS, CloudFront, Cognito, and others

I worked in the commercial side of the company.

• Develop scalable RESTful services in Python to process satellite imagery mosaics and geospatial data

• Develop robust and user friendly front ends using JavaScript and React

• Reduce processing time for mosaics from 3+ days to less than 12 hours

• Design cohesive and capable APIs and create libraries for rapid development of services, data processing, and database management

• Work with AWS EC2 instances, S3 storage, Step Functions, Batch, Lambda, DynamoDB, and others

• Work with large datasets - process several terabyte mosaics with 40,000+ files for customer usage

• Contribute to a software distribution and asset management tool to manage over 300 machines

• Maintain a server for computer maintenance and troubleshooting tools, task sequence-driven imaging

• Develop scripts and programs for use in engineering computer labs

• Troubleshoot and fix engineering software and networking issues