Classes Taken

Explainable AI (XAI) — University of Washington

A graduate-level course exploring methods for making machine learning models interpretable and transparent, covering techniques to explain model predictions and build trust in AI systems.

CSE 414: Introduction to Database Systems (Spring 2023) — University of Washington

An introduction to the design and use of database management systems, covering relational data models, SQL, query optimization, transactions, and scalable data processing.

CSE 415: Introduction to Artificial Intelligence (Winter 2022) — University of Washington

A survey of core AI concepts including search, knowledge representation, machine learning, and reasoning under uncertainty, with hands-on programming assignments.

CSE 447: Natural Language Processing (Spring 2022) — University of Washington

An introduction to natural language processing, covering language modeling, text classification, sequence labeling, and modern neural approaches to understanding and generating human language.

CSE 373: Data Structures and Algorithms (Spring 2022) — University of Washington

A study of fundamental data structures and algorithms, including lists, trees, hashing, graphs, sorting, and asymptotic analysis of running time and space.