Developed a QA tool in Python that populates a performance testing environment for the Veeva Clinical Coding Platform. Enabled large scale performance testing for the first time in Veeva Coder. Currently being used in 300+ test clinical trials with 1M+ dummy participants.
Migrated 3 new Veeva Clinical Coding statistics reports and 11 new dashboards from internal tools to customers' Veeva platforms.
Fixed 20+ defects on Veeva Vault's Coder and Coder Tools page (React frontend, Java backend)
Developed Scala program for training, saving, and loading machine learning models written in R, allowing users to integrate their own R models to Tazi’s existing ML tools
Wrote a Random Forest Classifier in Scala and developed template ML models in R
Added Remote Method Invocation support to company’s neural network interface
