Research on the sustainability of npm, PyPI, Packagists open-source systems by retrieving projects’ commit, issue, version data, etc. under Dr. Christian Kaestner

Foundations of Software Engineering (17313 F22, S23)

• 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

• Created a data pipeline using BigQuery/AWS SageMaker, orchestrated with Dagster (Python) to build a learning loop for the company’s NLP (text-labeling) ML model

• 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