daniel rowe.

Hi, I'm Daniel.

CS sophomore at LMU interning at an AI startup. I build agent skills, web apps, and the occasional game — whatever's interesting.

About me

A bit about who I am

CS sophomore at LMU (May 2028), currently interning at AIsa — an AI startup where I build agent skills that chain real APIs with LLM reasoning. I'm interested in AI agents, game dev, and making tools that actually do something useful.

Outside of that: Valorant, a Unity platformer I've been chipping at, and whatever rabbit hole I've fallen into this week.

United States

Career

Experience & Projects

Experience

  1. Software Engineering Intern

    ·AIsa

    Apr 2026 – Present

    • Built and shipped the FinReport agent skill (PR #24), automating investment research by chaining MarketPulse financial data with Perplexity Sonar AI analysis through AIsa's unified API gateway
    • Developed an Email Digest + Humanizer skill integrating Gmail OAuth for inbox aggregation, AI-generated draft replies, and a 29-pattern humanizer pass to remove AI-sounding language
    • Tech: Python, OpenClaw, Claude Code, Gmail API (OAuth 2.0), Git/GitHub

Projects

  1. Should I See a Doctor?

    ·LMU Hacks — 2nd Place

    Mar 2026

    • Full-stack care-navigation web app built in a single hackathon sprint, placed 2nd
    • Rule-based symptom triage with state-adjusted cost estimates
    • Medical bill analyzer that flags inflated charges
    • Tech: Next.js, TypeScript, Tailwind, Firebase
  2. Unity 2D Game Environment

    ·Personal Project

    Jan 2026 – Present

    • 2D platformer with a fully-animated character drawn in Adobe Animate
    • Momentum-based controller: bunny-hopping, sliding, jump physics in C#
    • Deployed to this site via WebGL build
    • Tech: Unity, C#, Adobe Animate
  3. TuneSwipe

    ·Personal Project

    Oct 2025 – Dec 2025

    • Music discovery app on Spotify OAuth with real-time recommendations
    • Solved rate limiting via request throttling + client-side caching
    • Tech: HTML, CSS, JavaScript, Spotify API

Research

  1. Multimodal Misinformation Detection

    ·LMU — Faculty Advisor: Prof. Lanyu Shang

    Fall 2025

    • Annotated 500+ social media posts across platforms, building labeled training data
    • Refined annotation criteria with faculty for consistent multimodal detection