Work

Builds a dashboard analyzing survey statistics, including digital-adoption metrics and stoplight visualizations for key KPIs.

Automated configuration deploys and monitoring across on-prem and cloud nodes: an onboarding pipeline that generates monitoring scripts from Selenium/Playwright, a Selenium-to-Playwright converter for 1,000+ scripts, and automated proxy/firewall error detection tied into CI/CD pipelines across 30 servers.

Modernized legacy Perl CGI applications tracking mainframe console command audits into a Flask backend API with an Angular frontend, plus batch-processing scripts for console log analysis.

Built a dockerized Django REST Framework API with PostgreSQL for report file uploads and bench-report tracking, including unit tests and documentation.

Led a 3-person team updating ~400 Python packages across a legacy Django monolith to security-patched versions, building tooling to scope and prioritize the migration across five environments (production, staging, sandbox, testing, local).

Built an ELT pipeline that scraped e-liquid and device data for a nicotine-intake research study — Selenium scraping into DynamoDB and S3, normalized into an RDS database — while also managing requirements, UX, and IRB submissions.

Mapped UK dietary survey data (NDNS) to the US Food and Nutrient Database for Dietary Studies and used linear regression for outlier detection in a preschool dietary-intake study.

Personal project turned official platform: rebuilt an error-prone food-photography analysis tool as a Django REST Framework API with a React/Redux frontend on an RDS-hosted SQL Server backend, including data modeling, UX/UI design, and testing.

Studied macronutrient-estimation accuracy for type 1 diabetes dosing; used OpenCV to detect and remove 10,000+ duplicate meal photos and Pandas to monitor analysis timelines.