- Developed software with TypeScript and Python to produce modern, responsive user interfaces with reusable Angular components and RESTful web services
- Empowered NIH and NCATS data science initiatives by architecting and provisioning high-performance isolated computing environments, enabling researchers to maintain complex dependency trees and AI-driven discovery workflows on critical biomedical projects
- Architected scalable data lifecycles using PostgreSQL and MongoDB, providing the robust backend infrastructure necessary for large-scale genomic and clinical data analysis
- Optimized researcher productivity by deploying isolated, GPU-enabled development environments, reducing environment setup latency and ensuring 100% reproducibility across workflows
- Presented work and gathered feedback from teams of 70+ members and collaborated across codebases
- Orchestrated large batch workflows with Airflow and Common Workflow Language (CWL)
TypeScript
Python
Angular
PostgreSQL
MongoDB
Kubernetes
Airflow