Fuad Hasan

I am a self-directed AI Researcher currently entering my second year of study, with a strong portfolio that showcases my expertise in Applied R&D and Advanced Prompt Engineering. My work involves hands-on LLM operation, rigorous AI capability testing, and creating detailed technical documentation. I am passionate about designing AI workflow automation and applying my skills to real-world problems.

Throughout my academic journey, I have engaged in various projects that highlight my analytical capabilities. For instance, I conducted a dual-narrative synthesis analysis to test an AI's ability to manage two tonally opposite storylines. This project not only showcased my ability to document AI performance but also my skill in correcting continuity errors through strategic re-prompting. Additionally, I explored multi-genre narrative synthesis, where I architected a complex narrative that fused five distinct genres, focusing on maintaining immersion and tonal consistency.

My recent work also includes developing a prompting strategy for AI-assisted exploration of psychological depth and taboo themes. This project involved creating a framework to bypass AI content restrictions, allowing me to analyze the model's capacity for portraying complex emotions. I am eager to leverage my skills in a challenging internship that allows me to contribute to innovative AI solutions.