Teaching Experience

I have worked as a TA several times during my undergrad and PhD. Details can be found below.

UC Berkeley

I worked as a Graduate Student Instructor (GSI) — another name for a TA who is also a graduate student — for two courses at UC Berkeley namely, EECS 189, Introduction to Machine Learning in Spring 2018, and STAT 154, Modern Statistical Prediction and Machine Learning in Spring 2019+.

EECS 189 (350+ students), Spring 2018: I taught this class with the instructors Prof Jennifer Listgarten and Prof Anant Sahai, and along with a team of 20 GSIs and uGSIs. I was one of the head GSIs and my primary contributions were in the developing content for the class, and ensuring a smooth coordination across the content development team. Besides supervising the coordination of the team, I worked on designing some new problems, touching-up some old problems, and some occasional interaction with the students in teaching sections, conducting office hours and attending homework parties.
Feedback from the class is available here.

STAT 154 (150+ students), Spring 2019: I taught this class along with Yuansi Chen under the instructor Prof Bin Yu (who is also one of my two super cool advisors), For this class, my role was much more involved. I and Yuansi Chen were the two GSIs who handled the load of 150 undergraduate students, besides a serious contribution in re-designing of the class. The two of us not only designed the bi-weekly homework, weekly discussion and exam content from scratch, we also developed two mini-projects based on real-data to facilitate a real hands-on experience for the students. I also handled several administrative aspects for the class.
Feedbacks from the class is available here: Entire class, Section 1 and Section 2.

IIT Bombay

During my undergrad, I worked as an undergraduate TA for several institute level undergraduate courses. The duties for these classes included weakly teaching sections of 40-50 students, and evaluating the exams. It was during these times that I realized how much I enjoyed teaching. I used to conduct several extra sessions where the attendance would sometimes exceed 200.

  1. MA 105 : Calculus (Fall 2011, Fall 2012); Feedback: Scores, Comments

  2. MA 106 : Linear Algebra (Spring 2012, Spring 2013, Spring 2014)

  3. MA 108 : Ordinary Differential Equations (Spring 2012, Spring 2013)

  4. MA 207 : Partial Differential Equations (Summer 2012)

  5. PH 103 : Electromagnetism (Fall 2011); Feedback: Scores, Comments

The feedbacks are based on data collected by me in Fall 2011 (maintaining the anonymity of the students) as at the time there was no institutional set-up for providing TA feedback.

Besides, I also TAed once for an online course on Linear Algebra with Prof Neela Nataraj, for 400+ undergraduate colleges, organized by Ministry of Human Resource Development of Government of India.