Moss Louvan

Full-stack engineer specializing in AI systems, infrastructure, and developer tools. Based in Des Moines, IA.

Hey, I'm Moss! I'm a full-ride Software Engineering student at Iowa State University and a national winner of NASA's 2024 App Development Challenge. I've built AI systems for Fortune 500 companies and led a winning lunar exploration project.

Experience

Oct 2023 – Aug 2024

Simulation Developer

NASA · App Development Challenge Winner

Houston, TX · Seasonal

  • Built an application simulating a lunar south pole mission using real NASA data
  • Won the NASA App Development Challenge and presented at Johnson Space Center

Jul 2024 – Aug 2024

Contracted AI Software Engineer

Principal Financial Group · Contract

Des Moines, IA · Hybrid

  • Selected as the first high school engineer to join Principal's software teams
  • Built a full-stack AI PDF processing platform using AWS Bedrock (Titan Text v2)
  • Implemented RAG with transparent chunk highlighting for traceability
  • Demoed to senior engineers, executives, and CEO Dan Houston

Apr 2026 – Present

Software Engineering LC Peer Mentor

Iowa State University · College of Engineering · Part-time

Ames, IA

  • Mentor first-year software engineering students through their Learning Community
  • Lead sessions on engineering fundamentals, study habits, and college life

May 2026 – Present

Software Engineer (Intern)

John Deere · Internship

Moline, IL · On-site

  • Building production-grade AI pipelines for large-scale industrial systems
  • Migrating LangGraph workflows onto Google's A2A framework
  • Designing high-speed retrieval paths with Postgres and vector search

Education

Projects

Game DevAISimulationGeospatial

NASA South Pole Lunar Exploration App

Lead Coder & Game Developer · Oct 2023 – Apr 2024

An AI-assisted lunar rover simulator built on real lunar south pole terrain constraints and mission-oriented exploration workflows.

  • National winner of the NASA App Development Challenge
  • Interactive exploration + simulation experience
  • Engineered for storytelling and demo-mode stability
ReactPocketBaseWhisperRAGMediaPipe

Converge

Full-Stack Developer · SwanHacks Spring 2026 · May 2026

An AI-powered lecture capture & study platform — records lectures, transcribes them on-device, and auto-generates notes, flashcards, quizzes, and study plans, with accessibility built in.

  • In-browser transcription with local Whisper — audio stays on-device
  • Notes, flashcards (SM-2), quizzes & study plans via LLM + RAG
  • ASL fingerspelling input + deep accessibility features
GitHubDevpost
RAGAWS BedrockPythonVector Search

AI PDF Processing Platform

Contracted AI Software Engineer · Principal Financial Group · Jun 2024 – Aug 2024

An end-to-end AI platform that ingests PDFs, chunks + embeds content, and powers traceable RAG with evidence highlighting.

  • RAG pipeline with transparent chunk highlighting
  • AWS Bedrock (Titan Text + Embeddings) + vector storage
  • Shipped for stakeholders and demoed to leadership
LinkedIn

Achievements & Awards

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Leadership & Outreach

Technical Stack