Computer science · Santa Clara University
From Hawaiʻi. Building in California.
Aiden Buck.
In progress
Where my attention is.
RocketRide
Consultant
Working at the intersection of AI tools and practical engineering.
AI Collaborate
Consultant
Part of the consulting team, bringing a builder’s perspective to
applied AI.
Rentul
Founder & builder
Making it easier for students to rent gear from their campus
community.
Selected work
Ideas, made tangible.
A few projects across code,
computer vision, and the real
world.
Robotics / Human-motion imitation↗
PromptHMRBlenderJoint mapping
G1Unitree humanoidHuman intent.
Robot motion.
ʻIolani × University of Hawaiʻi collaborators
Teaching a robot
to move like us.
On a collaborative Unitree G1 project, we connected recorded
human movement to humanoid motion through pose estimation,
Blender, and joint mapping. I also operated the robot in front
of live audiences.
RoboticsComputer visionBlender
Read project notes +
The workflow used PromptHMR to estimate human pose, Blender
to work with the motion, and joint mapping to translate it
into upper-body movements for the G1.
I collaborated with visiting University of Hawaiʻi faculty
and students at ʻIolani School. I operated the live
demonstration independently at ʻIolani AI Night and as one
of two operators at Kamehameha CONNECT26.
The illustration above explains the workflow; it is not a
robot simulation or a claim of sole authorship.
rentul
Own less.
Do more.
Your campus. Your gear.
rentul☰
Find your next adventure ⌕
Make a weekend of it.
⌂⌕+♡○
Founder & builder / Rentul
The gear you need.
The community you know.
A peer-to-peer rental marketplace for college students. Rentul
brings discovery, listings, bookings, and messaging into one
place, helping students borrow useful things instead of buying
them.
React Native / ExpoTypeScriptSupabase
Read project notes +
I’m building Rentul as both a software product and a
business, working across the mobile experience, marketplace
workflows, and how to introduce it to a campus community.
The app uses React Native and Expo with TypeScript, backed
by Supabase. Its core flows connect finding an item, making
a booking, and coordinating with the owner.
Applied computer vision⌖
Shelf capture → product recognition
Hawaii Foodservice Alliance / Internship
From store shelves
to useful information.
A mobile app that lets employees photograph shelves to identify
products, count visible items, and check prices. I also built a
way to combine shelf photos and upload them to the company’s web
app.
Mobile developmentComputer vision
Read project notes +
Across three summers, my work developed from Tableau
dashboards into product recognition and then mobile capture.
In 2025, I visited stores to collect and label thousands of
product photos. In 2026, I worked on the mobile app and
shelf-photo workflow.
The project involved collecting data, testing changes,
debugging failures, and improving the result through repeated
iteration.
RocketRide / Issue connector● ● ●
$ python -m rocketride
import
python/cpython --db issues.sqlite3
GitHub API→SQLite→Local reads
$ python -m rocketride
read
python/cpython --db issues.sqlite3
RocketRide / Engineering project
Import once.
Keep working offline.
A Python connector that saves a page of GitHub issues to SQLite
and reads them locally. Repeat imports refresh existing records
without duplicating them.
PythonSQLiteREST API
Explore the source ↗ (opens in a new tab)
Read project notes +
Each import fetches the first page of open issues from a
public repository, excludes pull requests, and updates records
by repository and issue number. Saved reads are entirely
local.
The project includes automated tests and a reviewer demo that
checks persistence in a separate process. It is a bounded
snapshot tool rather than a complete issue mirror. I used
AI-assisted development and verification throughout the
project.
A little background
Curiosity is the
starting point.
Building is the rest.
I’m a first-year computer science student at Santa Clara
University, originally from Hawaiʻi. I’m interested in what
happens when software starts to understand, interact with, and
improve the world around it.
I like being close to the work: collecting data, trying an
approach, finding what breaks, and making it better. That’s the
thread connecting my AI work, robotics projects, and
entrepreneurial interests.
↳
Outside of tech: four years of varsity water polo at ʻIolani and
mentoring younger students through Big Brothers Big Sisters.
More on LinkedIn ↗ (opens in a new tab)
Experience & education
Current
RocketRide & AI Collaborate
Consultant
Applied AI, engineering, and team collaboration.
2026
Hawaii Foodservice Alliance
Summer intern · Mobile development
Shelf-photo capture, product recognition, and image
stitching.
2025
Hawaii Foodservice Alliance
Summer intern · Computer vision
Product-recognition work, data collection, and
labeling.
2024
Hawaii Foodservice Alliance
Summer intern · Data visualization
Tableau dashboards for sales and day-to-day operations.
2026–2030
Santa Clara University
Computer Science · Expected graduation 2030