Worked closely with a team of geneticists and scientists, creating Python-based tools to enable them to access a database of genomic data and analyze it to detect preventable diseases in dogs.

This suite of tools included Python libraries for Redshift data access, AWS integration, and container orchestration, along with microservices and APIs for accessing large stores of genomics data for analysis in complex Jupyter notebooks.

Developed software to enable querying a large, anonymized database of normalized health terminology with advanced analytics capabilities, working closely with the infrastructure engineering team to develop best practices for microservice development.

I was able to learn new languages and technologies (e.g. Kotlin, RabbitMQ) to help an ambitious company in its startup phase grow into a multi-national company with millions of patients' worth of valuable real-world data.

Worked as part of a scrum team to develop new record-keeping workflows for a robust cloud-based electronic health records platform. Delivered critical features to alpha clients, working closely with nurses and other hospital staff at all points in planning, development, and testing.

Worked with a team of scientists to develop analysis software for new bio-sensing platform.