Daniel Rowe

Experience

1. Counter-Strike 2 Staff Intern

   ·National Esports Collegiate Conference (NECC)

   Aug 2026 – Present

   • ▸First-line support for 100+ registered CS2 teams: triaging roster changes, eligibility and emergency substitution requests in a dedicated ticket queue, and issuing rulings against the conference rulebook
   • ▸Run registration and roster-lock operations for the Fall 2026 season: verifying institution-identifiable team pages on FACEIT, processing late registrations, and enforcing soft and hard roster-lock deadlines
   • ▸Coordinate placement tournament and regular season match operations, including regional seeding inputs, scheduling, and escalating match disputes
   • ▸Author season announcements, registration walkthroughs and calendar docs for coaches and captains; staff live office hours during registration
   • ▸Tools: FACEIT, Discord, Google Workspace
2. Software Engineering Intern

   ·AIsa

   Apr 2026 – Jul 2026

   • ▸Built and shipped the FinReport agent skill (PR #24), automating investment research reports 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 that removes AI-sounding language before sending threaded responses
   • ▸Tech: Python, OpenClaw, Claude Code, Gmail API (OAuth 2.0), Git/GitHub

Projects

1. Developer

   ·Should I See a Doctor? — LMU Hacks, 2nd Place

   Mar 2026

   • ▸Built a full-stack care-navigation web app in a single hackathon sprint, placing 2nd overall
   • ▸Implemented rule-based symptom triage with state-adjusted cost estimates to guide users toward appropriate care
   • ▸Developed a medical bill analyzer that flags unusual or inflated charges
   • ▸Tech: Next.js, TypeScript, Tailwind, Firebase

Research

1. Research Assistant

   ·Multimodal Misinformation Detection · LMU (advisor: Prof. Lanyu Shang)

   Fall 2025

   • ▸Systematically annotated 500+ social media posts across multiple platforms, creating labeled training datasets for machine learning model development
   • ▸Worked with the faculty researcher to refine annotation criteria, keeping multimodal misinformation detection labels consistent

Education

1. B.S. Computer Science

   ·Loyola Marymount University

   Expected May 2028

   • ▸Activities: Computer Science Club, Varsity Esports Club, Golf Club
   • ▸Coursework: Algorithms & Analysis, Data Structures, Multivariable Calculus & Linear Algebra, Probability & Mathematical Statistics, Interactive Animation, Object-Oriented Programming (Java), Discrete Mathematics

Skills