Backend engineer on the Integrity team, which builds products that fight monetary fraud on the Lyft platform.

• Led two weekly sections of 30 students covering the week's lecture material with practice problems

• Assessed, developed, and organizeed content for discussion worksheets and weekly prep problems

• Edited homework and wrote solutions, graded quizzes and exams, hosted office hours for 15+ students

• Analyzed 30 Kaggle competitions for potential data biases and real-world harms as background research for an online textbook on fairness and machine learning (http://fairmlbook.org/)

• Implemented sidebar and home button in pure CSS to aid user navigation of long HTML webpages

• Integrated pipeline for IPython notebook to HTML conversion into existing build structure, automating a tedious manual task and allowing for customization of IPython webpages

• Wrote abstract syntax tree filter for Pandoc converter to create section numbering within a chapter