Teaching
Overview of my teaching experiences across various institutions and roles.
University of California, Davis (2022-Present)
- Teaching Assistant: Over 6 quarters, TA’ed for several computer science courses, demonstrating a broad and versatile teaching portfolio. Courses include:
- Discrete Math for CS: Assisted in teaching foundational concepts in discrete mathematics for computer science.
- ML for Computational Chemistry: Helped students apply ML computational methods in chemistry applications.
- NLP for Genetics: Introduced techniques for applying Natural Language Processing in genetic research.
- Graph Theory: Instructed applications of graph theory in analyzing social communication networks.
- Calculus for ML: Taught calculus principles essential for understanding and applying machine learning algorithms.
PepsiCo (2021-2022)
- 2021-2022: Taught AI and ML as part of the PepsiCo AI ML Club. Designed and conducted workshops and training sessions to enhance AI/ML skills across the team.
- Mentorship: Acted as a Machine Learning mentor for colleagues, providing guidance on various projects and helping them apply ML techniques in real-world applications.
BITS PILANI
- Fall Semester 2021: Served as a Teaching Assistant for Human-Computer Interaction (HCI). Facilitated lectures and assisted in designing course assessments.