Developed a Python Selenium bot to automate a 2-hour tutorial, significantly enhancing efficiency and user experience.
Impact: Saved over 200 users a combined total of 400 hours, streamlining a time-consuming process.
Key Features: Implemented error handling, logging, and adaptability to different user inputs, ensuring robustness and ease of use.
Senior Project Team Lead
University of San Diego
07.2023 - Current
Implemented a web application which analyzes complex financial documents by highlighting key terms and produces an executive summary using Python Flask, saving analysis time by 30%.
Trained a NLP model on terms found inside financial document at 75% accuracy
Pitched project to 120 Engineers, organized and built up a team of 4 and placed as a semifinalist in University of San Diego TeCh pitch competition
Software Engineering Intern
AlwaysAI
05.2023 - 08.2023
Trained computer vision artificial intelligence models Developed apps in order to demonstrate the company's platform technology and run artificial intelligence models
Worked in TensorFlow, Numpy, Pandas libraries, and EdgeIQ API, AlwaysAi’s API to build a finished app running a function computer vision model
Education
BS in Computer Science GPA 3.3 - Applied Artificial Intelligence
University of San Diego Shiley-Marcos School of Engineering
San Diego, CA
05.2024
Skills
Programming Language: Python
Libraries: spaCy Natural Language Processing Library, Selenium, Flask, Pandas
Tools: Visual Studio Code, Jupyter Notebooks, Linux