Coogs for Energy Hackathon (AI Solution) – University of Houston, Feb 2025
Collaborated with a multidisciplinary team at the Coogs for Energy Hackathon, tackling real-world energy challenges using generative AI methods to reduce emissions.
Researched, ideated, and prototyped an AI-powered solution under tight time constraints.
Presented technical concepts and results to judges and peers, demonstrating skills in AI integration and rapid problem-solving.
Gained hands-on experience with teamwork, prototyping, and communicating data-driven innovations.
Overview
1
1
year of professional experience
Work History
Intern
Salesforce
Houston, TX
09.2025 - 01.2026
(Remote)
Assisted in developing cloud-based tools using Java and Apex.
Debugged and improved automated workflows, increasing efficiency by 10%.
Collaborated with a small team of interns and mentors using Git.
Wrote documentation and test cases for new software features.
Intern
NVIDIA
Houston, TX
03.2025 - 08.2025
(Remote)
Conducted small-scale machine learning experiments using Python and TensorFlow.
Cleaned and analyzed datasets to improve model accuracy.
Collaborated with mentors on documentation and research notes.
Presented final results at the end of the internship program.
Education
Bachelor of Science - Computer Science
University Of Houston
Houston, TX
05-2027
Skills
Programming Languages: Python, C, Java, Apex
Frameworks & Tools: TensorFlow, Git, GitHub
Web Development: HTML, CSS
Other: Data analysis, software documentation, workflow automation