Organized data for training and fine-tuning advanced Large Language Model for tone analysis and threat detection. Developed and tested 8+ Python scripts utilizing selenium, pandas, and other data scraping libraries for web-scraping online chat forums and other messaging channels. Manage a team of 14 interns along with hosting in-depth informational sessions on machine learning, artificial intelligence, and full-stack software engineering to improve the interns' skillsets.

Leveraging artificial intelligence and machine learning to detect crime and prevent loss.Developed 5+ Python scripts for web-based scraping of threatening messages from 10+ online forums and messaging channels. Published as associate author on research paper detailing innovative AI solutions for the Nordstrom ORC attacks in California. Cleaned and organized unstructured retailer loss data utilizing Pandas and NumPy into a structured format for splitting into training and testing sets for machine learning applications.