• Optimized a Retrieval-Augmented Generation(RAG) model using LlamaIndex to create a UCSC chatbot• Developed an API for my model using Flask, Docker, and AWS ECS ensuring scalability• Built a Scrapy web crawler to extract data from UCSC sites and indexed it in a Pinecone vector database.• Benchmarked models such as GPT-3.5 and Gemini against our RAG model to evaluate which performs better

• Worked on a paper with Professor Gilpin on an explanatory data analysis around autonomous vehicle incidents• Engineered a robust data pipeline for parsing, cleaning, and transforming data sourced from the California DMV website.• Utilized a Support vector machine trained on the CA DMW data to add features to the NHTSA dataset• Leveraged statistical models to retain only essential features, resulting in a 10% increase in accuracy.

- Learn how to utilize intel gpus to fine tune and deploy LLMs using AWS and Azure

- Designed and developed a database solution using AWS DynamoDB, GraphQL, and typescript.- Built an intelligent college advisor chatbot powered by AWS Bedrock, providing personalized guidance and student support.

- Developed a bot that provides my RAG model has up to date information- Using FastAPI for my server and Google Drive's API for tracking drive changes.- Leveraged Docker and AWS Fargate to ensure scalability and allowed for seamless deployment across multiple environments

Grader for Cse142, Machine learning, and Data Mining.

Tutoring Math 23A(Multivariable calculus)

An organization formed to raise awareness of the increase of Asian American hate crimes due to the covid-19 outbreak.