-Enhancing UC Berkeley's central mobile app, which serves 45,745 students, by integrating real-time features for events, study areas, dining, and health resources.-Developed a new safety alert feature using Swift UIKit and Firebase, improving campus security and communication for students.

-Implemented an automated prod regression testing framework to streamline production processes, utilizing Jenkins, Bobcat, and Java, which significantly reduced testing cycle times by 60%-Engineered an Enhanced Post-Appointment Interface using Angular and Adobe AEM, integrating dynamic elements to display doctors' notes and surgical links, which improved accessibility for over 100,000 users and elevated patient engagement by 45%.-Tested code rigorously through frameworks such as JUnit and Jest, and developed skills in best practices in the SDLC

Selected to participate (1 out of 6890+) in an intensive 8-week learning experience covering a wide range of topics in software development, including data structures and algorithms, front-end (JavaScript, React) and back-end development (Node.js, Express), version control, cloud-native development, and project management.

Led and mentored a team of 10+ students in developing a waste classification CNN model using Jupyter Notebook, Keras, and Scikit-learn, demonstrating practical applications in environmental sustainability.

Analyzed the effects of lifting single-use plastic bans in various states during the COVID-19 pandemic, on both the plastic industry and employment. Utilized NumPy, Pandas, Matplotlib, Plotly, and Seaborn to perform data analysis & create data visualizations.

Increased LLM model accuracy by 15% with Python, refining spending insights for small businesses.

Conducted comprehensive end-to-end testing and competitive analysis, leading to strategic UI upgrades that enhanced user accessibility.

Spearheaded Berkeley's first research fair, connecting 30,000+ undergraduates to research opportunities.

Selected out of 10,000 candidates across the country for undergraduate program.

Rangamani Lab - Worked with Python, Blender and VAST to analyze marmoset brain meshes and further study Alzheimer's disease.

Utilized AnyMaze software to examine how alternations to the hippocampus will affect mice's motor/coordination skills under Dr.Chen.