As the Research Project Lead of the Advanced Hand Movement Tracking and Analysis project (AHMTAR), interning at the Cognition, Language, and Plasticity (CLaP) Lab, I have: Led the computer science components of research projects by developing and implementing advanced programs to track body movements through cameras.Wrote code for the rehabilitation of individuals who have experienced strokes or other ailments affecting their mobility, integrating innovative technologies to assist in their recovery.Conducted in-depth research on Deaf individuals' sign language, exploring the intricacies of non-verbal communication and the cognitive processes involved in sign language acquisition, further understanding the connection between Computer Science and Linguistics.Created fitness trainers utilizing this same technology, soon to be available for testing and usage on the lab's website, expanding the applications of the research.Utilized machine learning and computer vision techniques to analyze and interpret complex motion data, contributing to cutting-edge research in sign language studies and rehabilitation.Collaborated with interdisciplinary teams to bridge the gap between cognitive science and technology, ensuring accurate data collection and analysis for ongoing studies.Managed technical aspects of the lab's research, including software development, data processing, and the integration of coding solutions to streamline research workflows.

As an intern, my role encompassed a range of responsibilities while collaborating with officials from the City of Irvine. I engaged in active observation by shadowing various meetings, events, and assemblies, gaining insight into the inner workings of the city's operations. I conducted research and contributed to written materials, which included tasks like content creation and documentation. Additionally, I participated in community outreach efforts, connecting with residents to ensure their voices were heard. A key part of my role was assisting with community interaction, helping to bridge the gap between the city and its residents. Overall, my internship gave me a real-world understanding of the skills necessary for effective city agenda management and community engagement.

Part of a dynamic and innovative team that excelled in both data analytics and software development, with a strong focus on AI technologies.● Leveraging the latest advancements in artificial intelligence and machine learning, I applied state-of-the-art algorithms to organized datasets. ● Through our data analytics efforts, we uncovered hidden patterns and correlations within the data, leading to actionable resolutions and didactic insights. These findings addressed existing challenges and opened up new opportunities for growth and innovation.● We implemented robust security measures to protect sensitive information and ensure compliance with data protection regulations.