Teaching

Advanced Image Processing Graduate TA

Graduate course, University of Utah, Kahlert School of Computing, 2024

Graduate Teaching Assistant for Advanced Image Processing

Responsibilities included leading review sessions, developing problem sets, facilitating student projects, and assisting with course and project grading.
Worked closely with faculty to deliver modules on the latest medical image analysis deep learning models.
Deep learning for image analysis

Graduate seminar, University of Utah, Kahlert School of Computing, 2022

Image Analysis Seminar – Graduate Teaching Assistant

Organized journal club discussions, mentored student research presentations, and guided reading assignments in advanced topics.
Interdisciplinary approaches to image-based research

Graduate mentorship, University of Utah, Kahlert School of Computing, 2021

Graduate Mentorship in Image Processing

Supervised and mentored graduate students working on image processing projects, with particular emphasis on mathematical topics, denoising, and segmentation.
Delivered the full course module on Fourier analysis, providing comprehensive lectures (with video recordings archived for student reference).
Fostered research independence and technical mastery in advanced imaging topics
Received positive student feedback on clarity and depth of Fourier analysis instruction

Graduate mentorship, University of Utah, School of Computing, 2019

Graduate Mentorship in Computer Graphics

Guided project teams, organized seminars, supported technical presentations, and reviewed student renderings.

Graduate course, University of Utah, Dept of Biomedical Informatics, 2018

Graduate Teaching Assistant for Applied Machine Learning

Supported instruction on core ML models, real-world datasets, and algorithm assessment.
Delivered lectures on foundational and applied machine learning topics, and assisted students with project design and coding.

Undergraduate course, University of Pune, Electronics/Telecom, 2015

Teaching Assistant for Digital Communication

Signal processing fundamentals
Analog-to-digital conversion
Delivered core lecture about mathematical concepts of digital communication, managed lab sessions, and graded assignments.
Supported student success in coursework
Mentored students for their projects and lab sessions