Managing homework and project lifecycles, running office hours, and updating course website

Leading recitations of 40+ students to teach software engineering skills and practices; topics include version control, Git collaboration, agile development, requirements collection, QA processes, DevOps, microservices and ML engineering

Data pipeline includes batch-inference, model-evaluation, metric logging (precision, recall, f1-score, confusion matrix), labeling app hydration

Developed a sentence-labeling app with React/Flask/Postgresql to collect true labels for the labeling model; deployed using Docker and AWS