Intern in Scientific Software Engineering R&ED
Developed and deployed scientific applications with Python Dash, Streamlit and R/Shiny to support researchers. Built a generalized Microsoft SSO authentication module and automated SSL/TLS certificate workflows for Kubernetes infrastructure.
Key Responsibilities
- Developed and deployed scientific applications with Python Dash, Streamlit and R/Shiny to support researchers
- Designed a generalized authentication module for Microsoft SSO, reusable across Dash, Streamlit, Flask, Django, and Shiny applications
- Architected and implemented enterprise-grade SSL/TLS automation for Kubernetes infrastructure, reducing certificate deployment time via cert-manager and Linkerd integration
- Designed Zero-Trust security architecture with automatic mTLS encryption, ensuring pharmaceutical compliance (FDA 21 CFR Part 11)
- Automated deployments with Docker, Kubernetes and GitHub Actions to ensure reliability on the internal R&D platform
- Conducted data mining projects to increase dataset precision and support AI/ML use cases
- Python
- Dash
- Streamlit
- R/Shiny
- Flask
- Django
- Kubernetes
- Linkerd
- cert-manager
- Docker
- GitHub Actions
- Zero-Trust
- TLS/mTLS
- Microsoft SSO