Sean Hau Goh

Honors Computer Engineering at Texas A&M

I build software at the intersection of technology, people, and real-world problems. Three of them come with a short film.

  1. 01AriaAmerican Airlines 2nd + Vultr Winner
  2. 02Turbo Wikipedia Search & Indexer30 GB indexed in ~87 seconds
  3. 03MUSERadar-camera research at OpenHub
$20K+
Competitive scholarships, fellowships, grants & technical awards
4×
Competition placements
3 countries
Research & engineering experience

Selected work

Featured 01 / 03

American Airlines 2nd + Vultr Winner

Aria

A persistent multimodal AI airport agent for navigating flights, disruptions, and airport information.

AI / Backend Engineer · 2026

FastAPILangGraphMongoDBElevenLabsWebSockets
Explore project

Featured 02 / 03

30 GB indexed in ~87 seconds

Turbo Wikipedia Search & Indexer

A high-performance C++ search engine that indexed 30GB of Wikipedia in ~87 seconds.

Systems Engineer · 2026

C++MultithreadingWindows APIRabin-Karp
Explore project

Featured 03 / 03

Radar-camera research at OpenHub

MUSE

Multi-sensor perception tooling for synchronizing and interpreting radar, camera, and LiDAR data.

Perception / Systems Engineer · 2026

PythonOpenCVOpen3DCA-CFARDBSCAN
Explore project

What I do

Where I've done the work

Perception & sensor systems

Getting radar, camera, and LiDAR to agree on when and where: syncing streams across gPTP and Unix clocks, clustering radar returns, and a tool for reviewing radar-camera matches by hand.

See MUSE

Systems & performance

Finding where the time goes. A multithreaded C++ indexer that gets through 30 GB of Wikipedia in ~87 s, TCP networking for a multi-user VR sim, and a PostgreSQL index fix that took query hops from 446 ms to 2.7 ms.

See Turbo Indexer · SpaceCRAFT VR

Applied AI

LLMs as one part of a product, not the whole of it. An airport agent orchestrated with LangGraph over WebSockets, and a car-decision tool whose LLM analysis is traced so its answers can be checked.

See Aria · Kaizen

Automation & product

Tools for how people actually work, messy inputs included: check-in automation and a media pipeline (538 s → 71 s) for Meloy events. And a product I managed until discovery told us to stop.

See Aggie Events

Skills

Technical skills

The languages and tools I've used in real projects, and where.

Languages · 4

  • C++Turbo Indexer · SpaceCRAFT VR
  • PythonMUSE · Aria · AggieSeek
  • TypeScriptThis site
  • JavaScriptOpenHub

Systems & data · 5

  • PostgreSQLOpenHub · Kaizen · Aggie Events
  • DockerSpaceCRAFT VR · OpenHub
  • AWSMeloy
  • MongoDBAria
  • FirebaseAggieSeek

AI & perception · 5

  • OpenCVMUSE
  • Open3DMUSE
  • LangGraphAria
  • LangChainKaizen
  • ElevenLabsAria

Web · 8

  • FastAPIAria
  • FlaskKaizen · AggieSeek
  • Next.jsKaizen · Aggie Events
  • Node.jsAggie Events
  • Three.jsAria · This site
  • AstroThis site
  • PlaywrightMeloy
  • SeleniumKaizen

When I'm not building

OnTheGoh