I've been a major contributor to 5 software project teams and 1 AI research team as of Jan 2026.

Check out what I've worked on. Let me know if you'd like to collaborate on new ideas, CS project or not.

Previous work:

• Earned 2nd place among 17 teams at Data Science Alliance's Build for Good Hackathon with BellyUp, a logistics dispatch service that enables
• 💻 Joined Norra Inc. as Software Engineer to develop hospital administrative app for tracking healthcare equipments.
• Earned a spot as top 6 finalist among 70 teams at MongoDB's Agentic Memory & Context Engineering Hackathon with EchoStay: a semantic search engine for Airbnb listings built with a Retrieval Augmented Generation pipeline
• 💻 In 4 days, shipped a Svelte landing website for a geo-bound AR sharing social media application, aako.world, and fixed 15 bugs in frontend SwiftUI.
• 💻 Contributing features to IEEE-HKN honors society's portal at UC San Diego with Svelte/Django
• 🥗 HAB Prediction Website: Full-stack deployment of a twice-weekly prediction site for monitoring harmful algal blooms, using FastAPI backend on Google Cloud Run with Cloud Scheduler for automation. (Team project via IEEE HKN)
• 💻 Contributing features to Computer Science and Engineering Society's portal at UC San Diego with React/MangoDB
• 💬 Hosting ML-related technical workshop events for fellow students
• VTABS Blackjack Agent: Reinforcement learning agent trained via Q-learning to play Vegas Triple Attack Blackjack Switch, optimizing betting and in-game actions using a decision network to maximize winnings and minimize busts under uncertainty; Python, Monte Carlo Simulation, Q-Learning.
• LingoLab Research Paper Reader: Interactive Research Paper PDF Viewer that generates and stores definitions of difficult words for easier comprehension; React, Python, Firebase
• 💻 Text-2-SQL Database Query Engine: Executes generated SQL from natural language questions and returning financial data from database; achieved significant resulting accuracy from testing and incorporating techniques from S.O.T.A. papers in Text-2-SQL research space; Python, FastAPI, Uvicorn, Streamlit, OpenAI API, MySQL
• BTTAI Fellowship Models & Learning: Collection of machine learning projects, notebooks, and deployment-ready pipelines built during the Break Through Tech AI/ML Fellowship, including full life-cycle projects in model explainability, data engineering, and data science.
• Matchmaker: Machine Learning model with simple webpage UI that predicts compatibility between 2 participants using textual context.
• Successorator App: To-do List App; Android Studio and SQLite

Fellowships:

• 🤖 Selected as a Break Through Tech AI/ML Fellow (Cornell @ UCLA), where I developed real-world AI/ML projects with mentorship from PIMCO engineers.

Competitive CS awards:

• 2nd Place among 17 teams at Data Science Alliance's Build For Good Hackathon, Aug 2026
• Top 6 Finalists among 70 teams at MongoDB Agentic Memory & Context Engineering Hackathon, Dec 2025
• "Most Technically Impressive" and "3rd place" in Stempad CSES Hackathon @ UCSD, Feb 2025
• "4th Place" in Jane Street Estimathon @ UCSD, 2024

Here are my contacts!