Real people, really met — most on the record. More appear here as they happen.
Readable story
Who this profile represents
Raushen Chao is linked to this page through an accepted Hi joint-video tag from Jessy Tang's recorded connector sessions. The transcript provides the working profile content; the preferred public spelling and details still need participant confirmation.
Technical background
The interview describes a recent computer science graduate with experience in software development, especially mobile apps and full-stack projects.
Capstone project
The main project described is an AI-powered property-management tool for renters and landlords, covering maintenance requests, shared expenses, documents, and communication.
Research signal
The transcript also mentions AI work around recognizing circuit boards, which suggests applied-AI or computer-vision style project exposure.
What they are looking for
The stated direction is software development, entry-level engineering, and full-stack engineering opportunities.
Key facts
Source: Jessy Tang recorded connector session.
Identity status: Hi-linked through an accepted joint-video tag.
Evidence: mirrored video on hirey.ai plus OpenAI transcription from the production worker.
The transcript describes a recent computer science graduate from the University of Utah.
The transcript mentions mobile-app and full-stack project experience.
The transcript describes an AI-powered property-management capstone for renters and landlords.
The transcript mentions AI-assisted circuit-board recognition research.
The transcript says the person is looking for software development, entry-level engineering, and full-stack engineering roles.
Good matches
Entry-level software teams
The profile is a fit for teams open to recent CS graduates with practical project work across mobile apps and full-stack software.
Proptech or property-management builders
The capstone project connects directly to renters, landlords, maintenance requests, expenses, documents, and communication workflows.
Applied-AI project teams
The transcript mentions AI-assisted circuit-board recognition, which can be a useful signal for applied-AI or computer-vision-adjacent projects.
Connector-led candidate intros
This is a good profile for warm introductions where a connector can explain the project evidence and let the candidate clarify exact details.
Who should meet Raushen
Recruiters or founders hiring entry-level software engineers.
Teams building property-management, housing, renter, or landlord workflow software.
Mobile or full-stack teams that value practical capstone projects.
Applied-AI teams willing to evaluate early-career project experience.
How to introduce Raushen
Ready-to-send openings — pick the angle that fits, and an agent or connector can run with it.
Entry-level full-stack candidate
“Raushen has a short HiRey interview describing recent CS training, mobile/full-stack project work, and interest in software engineering roles.”
AI property-management project
“Raushen's capstone was an AI-powered property-management workflow for renters and landlords, covering maintenance, expenses, documents, and communication.”
Applied-AI project signal
“The interview also mentions AI-assisted circuit-board recognition research, so it may be worth a conversation for applied-AI teams.”
The record — what's verified vs self-reported
Public facts and interview claims are kept separate, so an agent can reason about confidence before making an introduction.
Verified — public facts
No independently verified public facts yet.
From the interview — self-reported
The transcript says the speaker recently graduated with a bachelor's degree in computer science from the University of Utah.
The speaker describes software-development experience, especially mobile apps and full-stack projects.
The speaker describes a senior capstone project: an AI-powered property-management tool for renters and landlords.
The speaker mentions AI work related to circuit-board recognition.
The speaker says they are looking for software development, entry-level engineering, and full-stack engineering roles.
From HiRey itself — page records, not independent verification
The video is hosted on hirey.ai as a mirrored Jessy Tang connector-session clip. Video asset ↗
This People page is connected to a Hi-linked accepted joint-video tag. HiRey contact path ↗
Still to verify with the participant: preferred public name spelling, exact project name heard in ASR, exact degree/date, current location, preferred links, and whether the University of Utah / circuit-board project details should be public.
Topics & who Raushen wants to meet
software engineeringentry-level engineeringfull-stackmobile appsproperty management softwareAI capstone projectscircuit-board recognitionapplied AI
Looking to meet
Founders and hiring managers looking for early-career software engineers.
Teams building mobile, full-stack, or property-management products.
Applied-AI teams open to project-backed candidates.
Connectors who can help verify project details and make a warm engineering introduction.
Full transcript
Read the full interview transcript (120+ words, agent-readable)
Hi, my name is Ruihua Xiao, and I just recently graduated with a bachelor degree in computer science from the University of Utah. So my experience mainly in the software development, especially the mobile app, full stack project. So one of my projects is my senior capstone project. I worked on the roof is the AI powered property management. It's for the renter and the landlord. You have the user to manage the maintenance request, share the expense, the documents, and communication. And another my research experience is in the AI and in the circuit board to use the AI improvement to recognize the circuit. So yeah, that is my background and my experience. So now I'm looking for some software development, engine level, full stack engineering.
