Passionate about software development, machine learning, and creating innovative solutions. Currently pursuing my degree while gaining hands-on experience through internships and personal projects.
Contributed to ArcGIS Enterprise engineering in Redlands, CA, focusing on test automation, CI/CD reliability, and cloud deployment tooling.
Academic Intern for CS 61A: Structure and Interpretation of Computer Programs (Python), Berkeley, CA.
Built and evolved a full‑stack financial dashboard for a nationwide real‑estate developer; remote (intern → analyst).
Austin, TX — Computer vision research focused on mosquito larvae classification and dataset tooling.
Co-founding a startup that revolutionizes property management bookkeeping through an agentic AI layer. The platform automates data entry, email monitoring, and phone call processing to streamline operations for property managers and assist bookkeepers. Currently in active development with 5 beta clients awaiting the product launch.
A web application designed to enhance disaster preparedness drills for Burn Centers and County EMS agencies. The system matches and scores patient-to-hospital routes based on route times, hospital capabilities, and patient criticality levels. Features include hospital availability simulation, routing analysis, and automated report generation with improvement directives.
Developed a RAG system for an AI chatbot for Oracle NetSuite (Contract Development) allowing users to generate custom XML workflows from a plain english prompt. Processed XML data using python to extract relevant schema’s and syntax for vectorization. Built a vector database using Pinecone to enable efficient context retrieval and integrated Langchain for context-aware response generation.
A mobile app aggregating Cal student information into one place, allowing students to easily understand their academic standing (current grades, graduation status, etc.). Pulled real-time data from Canvas & Gradescope, built frontend with React Native, backend with FastAPI & Firebase, used OpenAI API to build AI agent to process student information and calculate/estimate current grades.
IBVault is an investment banking interview prep platform featuring 200+ questions, enhancing the effectiveness of finance interview preparation (Leetcode for Finance). Developed frontend with React, backend with Flask and PostgreSQL, used OpenAI API to create question grading AI agent to make answering questions interactive. Hosted on Render, gathered 50+ users when site was active.
Pursuing a comprehensive computer science and mathematics curriculum covering algorithms, data structures, software engineering, machine learning, artificial intelligence, and circuit design/hardware.