• Authored abstract and poster presentation analyzing 500+ student-created study sheets to assess impact on learning outcomes and academic performance

• Engineered end-to-end data pipeline using Python, Pandas, Matplotlib, and Scikit-Learn to extract, clean, and analyze study behaviors

• Collaborated on research methodology design, defining classification schema for categorizing study materials

• Facilitated instruction in foundational C++ courses through weekly labs and 1:1 tutoring, reinforcing concepts in pointers, data structures, and debugging

• Delivered 12+ hours/week of student support, improving retention and performance for classes of 100+ students

• Enhanced programming proficiency by guiding students through coding assignments and debugging strategies

• Annotated clinical text datasets for negation and hedge detection, supporting biomedical NLP model development

• Built analysis scripts in Python to compare annotation quality, track progress, and optimize workflow efficiency

• Completed CITI training; contributed to ClinScope corpus development

• Evaluated 13+ programming assignments for 500+ students in C++ data structures and algorithms

• Held weekly office hours to clarify core concepts such as B-Trees, graph theory, and asymptotic analysis

• Managed 5-person dev team building a class learning platform, from Figma prototype to deployment

• Directed front end development projects, coordinating with on campus organizations to transform design

• Led teams of 10+ students as Scrum Master, facilitating sprint planning, code reviews, and AGILE development

• Delivered production-ready websites using React, Tailwind, and HTML

• Launched outreach initiatives including weekly tabling, coding workshops, and mentorship programs

• Designed peer mentorship program pairing 25+ first-year students with experienced ACM mentors