I have been dedicated to pioneering research in AI/ML, particularly in transformer language models and tokenization strategies.

• Published a paper on Mechanistic Interpretability and accepted to ICLR 2026 Latent and Implicit Thinking Workshop, contributing to the understanding of internal circuits in AI models.

• Engaged in a prestigious fellowship, collaborating with top-tier experts from prestigious universities and companies.

• Developed skills in independent research and innovative problem-solving within the AI/ML landscape.

• Utilized Python, Matplotlib, Transformer models, and Hugging Face to create innovative plots on data across 1000 randomly generated 4-digit prompts, implementing techniques like activation steering to get unique results.

• Serving as a board member for Software Development and Design at UC San Diego's AI Student Collective (AISC)

• Developing backend solutions for the organization's website and dashboards, enhancing user experience

• Implemented an event-countdown timer, revamped the projects page, and resolved various bugs, ensuring website functionality

• Designing promotional flyers for events, contributing to increased visibility and engagement

• Collaborated with audio, visual, and text data to enhance AI training processes.

• Focused on teaching AI systems to recognize patterns and understand language effectively.

• Utilized training images on SAM3 AI Object Detection model to enhance model's understanding of surrounding environments in images.

• Developed 20+ Canva Designs to simulate model conversations with humans.