“My chosen career path is in technology, specifically as a Prompt Engineer, holding a BS in Applied Mathematics (AI/Data Science) from San Francisco University (SFSU), as well as a BA in Physics (Astronomy), also from SFSU. Over the past decade, I have delved into the realm of Large Language Models (LLMs), leveraging my extensive knowledge in probabilities acquired through years of study. While my Python Cybersecurity skills are not publicly documented, I maintain a clandestine repository of expertise, ready to be deployed at a moment’s notice. Python serves as my primary tool for various applications including cybersecurity, robotics (ROS), computer vision, backend development, data analysis, and the creation of custom AI chatbots from scratch. Additionally, I hold qualifications as an AI Data Scientist and have a penchant for utilizing unsupervised learning algorithms, particularly in R, when Python proves inadequate. My proficiency in Python extends across multiple platforms such as Colab (on Windows), VMWare, Kali Linux/Debian in UTM, CMD/Terminals, and Visual Studio Code as my preferred IDE. Among the plethora of available LLMs, Bloom stands out as my favorite due to its capability in handling a wide array of foreign and natural languages, surpassing other versions prevalent in the Bay Area. However, I believe that merely creating LLMs resistant to hacking is only half the battle. This sentiment is often overlooked by reputable online universities offering Masters programs in these disciplines. I am a female and a minority, with a complexion deemed too dark and ethnic, which has led to high marginalization in the Bay Area’s tech industry. Consequently, I am currently developing my own curriculum to address this gap and foster inclusivity, aiming to empower other underrepresented minorities and women in the tech industry. I envision launching a non-profit organization dedicated to this cause by the end of 2024.”

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