Designed and created a video annotation framework that includes a Python backend for managing annotation experiments that interfaces with a cross-platform mobile app developed in React Native, enabling scalable aggregation of ground truth labels for video quality.

Developed novel interpretable models for evaluating video quality.

Maintained ownership over developed code with responsibilities that include unit-testing, production deployment, and code and model maintenance.

Scraped ~100,000 images and developed a pipeline for image classification using

Deployed application on AWS using nginx, gunicorn, and Flask.

Reviewed and delivered production code using git and cvs for versioning on development

Heavy Python development of tools for aggregation and storage of data and in-house