teaching

asato mā sadgamaya
tamaso mā jyotirgamaya

असतो मा सद्गमय ।
तमसो मा ज्योतिर्गमय ।

Lead me from illusion to truth.
Lead me from darkness to light.

— Brihadaranyaka Upanishad, I.iii.28

I deeply enjoy teaching and believe it is one of the most reliable ways to sharpen and deepen my own understanding.

Teaching Assistant Positions:

• Department of Electrical Engineering, IISc Bangalore
  • E2 202o Random Processes (Online) (Fall 2024): Assisted professor with tutorials, and graded assignments.
  • E9 222 Signal Processing in Practice (Spring 2023): Assisted professor with course administration, conducted tutorials, and graded assignments.
  • E0 298 Linear Algebra and its Applications (Fall 2023): Led recitation sessions, delivered two lectures on determinants, graded assignments and exams.

Prime Minister’s Research Fellowship Teaching Duty:

• Monte Carlo Methods (PMRF-ISSS)
• Mathematics for Computer Science (PMRF-ISSS)
• Applied Concentration Inequalities (PMRF-ISSS)
• Deep Learning for Computer Vision (PMRF-ISSS)
• Deep Learning Theory (PMRF-ISSS)
• Applied Deep Learning Course at BMSCE (November 3rd - 4th, 2023): 8-hour mini-course.
• Applied Deep Learning Course at BNMIT (October 25th - 27th, 2023): 24-hour mini-course.