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.

Current as of Jan 2026:

• Searching for 2026 Full-Time -- please contact me @LinkedIn if interested

Previous work:

• 💻 Joined Norra Inc. as Software Engineer to develop hospital administrative app for tracking healthcare equipments.
• 💻 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:

• "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!