I am a student at the University of Texas at San Antonio class of Spring 2025, pursuing a major in Computer Science with a concentration in Software Engineering. I am comfortable coding in Java, Python, C++, HTML, CSS, Javascript and React. I am interested and exploring Software Engineering focusing in front-end development, AI and Machine Learning and have began exploring those interest as a fellow for Break through Tech AI program through Cornell University. I'm also involved in a variety of extracurriculars on campus, including taking on a leadership position as Public Relations officer for the Association of Computing Machinery Womens Chapter.
GPA: 3.54. Concentration in Software Engineering. Honors College Member.
GPA: 3.89. Recieved before highschool diploma. Magna Cum Laude.
Break Through Tech AI Fellowship.
Provide guidance and support to 100 first-year students in navigating university resources, academic requirements, and campus life at UTSA, fostering a sense of belonging and community within the student body.
Collaborating with a team of 5 to develop a machine learning model that suggests relevant search queries to users based on their current search term and their past history. Improve users ability to find what they are searching for more efficiently and discover new information that they might not have found otherwise..
Undergraduate students who achieve scholastic distinction in a semester, as evidenced by a grade point average of 3.75 to 3.99 in at least 12 semester credit hours in a Fall, Spring, or Summer semester.
Undergraduate students who achieve scholastic distinction in a semester, as evidenced by a grade point average of 3.5 or higher in at least 9 semester credit hours in a Fall, Spring, or Summer semester.
The UTSA Honors College is a college of hardworking, achievement-oriented, conscientious students. Their experiential approach helps students of all majors become leaders, develop as professionals, and intellectually achieve beyond coursework.
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Commited to contributing in communites uplfiting minorites in tech.