As a graduate teaching assistant in the Deep Learning course at the University of Tennessee, Knoxville, I created quizzes and assignments to test students' knowledge of the course. Furthermore, I actively supported the course by grading homework and projects and providing personalized assistance to students struggling with assignments and concepts.

I focus on deepening students' understanding of deep learning, including Multi-Layer Perceptron Networks and Convolutional Neural Networks. I also help students improve their knowledge of PyTorch through assignments.

Through these efforts, I aim to ensure that students complete the course and build a strong foundation for their future studies in deep learning.

As a graduate teaching assistant in the Machine Learning course at the University of Tennessee, Knoxville, I actively support the course by grading homework and projects and providing personalized assistance to students struggling with assignments and concepts.

My focus is on deepening students' understanding of fundamental machine-learning topics, including Bayesian Learning, Neural Networks, and Reinforcement Learning.

Through these efforts, I aim to ensure that students complete the course and build a strong foundation for their future studies in machine learning.

I engaged in research under the guidance of my mentor, Junchuan Fan, aiming to enhance semantic interoperability among diverse geographic categorization schemes. Leveraging large language models, I explored natural language processing tools, particularly focusing on information retrieval and semantic search.

The research involved collecting data, which I analyzed and visualized using diverse graph types such as clustered bar graphs and box plots. Coordinating the research direction, interpreting results, and concluding were fascinating aspects of this experience, providing valuable insights into the intricacies of the research process.

As an undergraduate teaching assistant at the University of Tennessee, Knoxville, I supported Physics and Modeling for Engineers I & II courses. My responsibilities included setting up equipment for problem-solving involving physics principles.

Additionally, I played a key role in enhancing students' proficiency with commonly used programs like Excel and MATLAB. I contributed to deepening their understanding of fundamental physical concepts, including Vectors, Newton's Laws, Conservation of Energy, Mass Moment of Inertia, and Torque.

Through these efforts, I aimed to help students overcome challenges in physics, reducing resistance and establishing a solid foundation for their future engineering courses.

During my time at Clarksville High School, I actively participated in three clubs: Mu Alpha Theta, Junior Civitan, and the Science National Honor Society (SNHS).

In Mu Alpha Theta, I engaged in various mathematics-related events, including Pi Day, aimed at fostering students' interest in math. Members were involved in creating puzzles and organizing activities that encouraged mathematical thinking.

Junior Civitan provided volunteering opportunities for school events like photo days and paint days, as well as community service initiatives in nearby elementary schools and libraries.

As a member of the Science National Honor Society (SNHS), I joined fellow students who excelled in science. The society offered opportunities for scientific debates and community service, enhancing my involvement in the scientific community.

Tutored high school students in Algebra I & II, Geometry, and Pre-Calculus at Clarksville High School. Focused on building conceptual understanding, I aimed to instill an interest in mathematics among the students.

I ensured the seamless execution of programs like magic shows, readings, and science experiences by managing props and offering guidance to children and parents. The opportunity to serve the community and assist people was not only rewarding but also immensely enjoyable.