CSE 511A : Introduction to Artificial Intelligence
CSE 559A : Computer Vision
ESE 588 : Quantitative Image Processing
ESE 519 : Convex Optimization
ESE 415 : Optimization
ESE 524 : Detection and Estimation Theory
ESE 551 : Linear Dynamic Systems I
ESE 553 : Nonlinear Dynamic Systems
ESE 483M :Introduction to Electronic Instrumentation Design
ESE 662M : Analog Integrated Circuits
ESE 431 : Introduction to Quantum Electronics (Audit)
BME 572 : Biological Neural Computation (Audit)
MOOCs
Neural Networks and Deep Learning
Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
Structuring Machine Learning Projects
Convolutional Neural Networks
Sequence Models
Introduction to Data Science in Python
End-to-End Machine Learning with TensorFlow on GCP
Teaching Experience
Graduate Teaching Assistant, CSE562M Analog Integrated Circuits (August-December 2016,2017)
Conducted in-class Cadence and analog circuit design principles help sessions.
Undertook one-on-one help sessions for installing and debugging design challenges and provided guidance
for semester-wide course project for two consecutive course offerings.
Mentorship
Mentored a senior undergraduate student in the ESE Department at WashU for independent study research project titled "Data Sonification and its Applications", August-December 2019.
Mentored senior undergraduate students in the ESE Department of WashU during their Senior Design Project titled "Identifying ischemic stroke conditions via CT
scans using neural networks", January-May 2017.
Mentored a junior undergraduate summer reaserch student in the CSE Department of WashU for REU project titled "Implementing a C++ based algorithm for an
existing Matlab based Gini-Support Vector Machine Classifier and Comparing their respective
performances", May-August 2016.