Hello, This is

Jasmine Shi

IS + HCI @Carnegie Mellon

About me

I design AI-powered systems that shape behavior, motivation, and real-world impact.

Systems thinking across Healthcare, Learning, and AI.

I work at the intersection of AI, behavioral systems, and product strategy,  translating research insights into structured roadmaps and real-world prototypes.

Across healthcare collaboration frameworks, AI learning systems and VR/AR behavioral analytics, I focus on diagnosing structural problems, defining scoped MVPs, and aligning stakeholders around measurable outcomes.

Currently seeking Summer 2026 internship opportunities.

Education

2023-2027

Carnegie
Mellon
University

B.S in Information Systems,
Add. major in Human-Computer Interaction

  • GPA: 3.78 / 4.00
  •  Selected Coursework:
    • 05-317 · Design of Artificial Intelligence Products
    • 05-361 · Advanced Interaction Design
    • 05-410 · User-Centered Research and Evaluation
    • 05-452 · Service Design
    • 05-470 · Digital Design Innovation
    • 05-571 · Undergraduate Project in HCI
    • 15-112 · Fundamentals of Programming
    • 15-122 · Principles of Imperative Computation 
    • 17-313 · Fundamentals of Software Engineering
    • 67-262 · Database Design and Development 
    • 67-272 · Application Design and Development 
    • 67-373 · Information Systems Consulting Project

Skills

Python
85%
JavaScript | TypeScript
95%
React
75%
Ruby on Rails
80%
C#
70%
SQL
80%
HTML5 | CSS3
90%
Human-Centered Design
95%
Prototyping & Usability Testing
85%
Information Architecture
90%

Experience

May 2025 -Present

AI and Student Motivation, CMU

Independent Researcher

Research project comparing RAG chatbot vs. teachable agent to study effects on motivation and learning outcomes

Apr - Sep
2025

Social AI Group, CMU

Research Assistant

Built an end-to-end VR/AR interaction stack with logging sessions, ran participant ops and usability sessions with 40+ participants

Jan 2025 -
Present

Variability Lab, CMU

Research Assistant

Implemented Mixed-methods (tobii eye tracking, survey) usability sessions with 20+ participants to improve accessible dev tools for BLV developers

Projects

Sep - Dec
2025

Product Manager

Framed product opportunity and MVP strategy; led prototype iterations with a 4-person team to validate desirability and feasibility of the AI-powered features.

Sep - Dec
2025

Product Strategy & Interaction Lead

Prioritized and refined product requirement; led functional feasibility confirmation for a wheelchair-mounted robotic retrieval system.

Sep - Dec
2025

Service Designer

Identified a service opportunity to increase weekday engagement for a local jazz bar through in-field research and stakeholder interviews.

May - Sep
2025

SelfCraft,

Project Olympus,

CMU

Founder & UX Engineer

Led end-to-end UX for an AI self-coaching tool; ran 20+ interviews/usability sessions, built navigation components though Agile delivery.

Jan - May
2025

05-317,

CMU

AI Product Designer

Designed and prototyped AI-powered interfaces with user control and market viability considerations that later informed the concept for a startup project

Jan - May
2025

67-272,

CMU

Full-Stack Developer

Built a fully functional Ruby on Rails app end-to-end: 12 REST endpoints, 6 models/8 tables, auth/session, validations, and 15+ UI views

Sep - Dec
2024

17-313,

CMU

Backend Developer

Shipped backend tag-management features to NodeBB codebase; wrote unit tests and passed all SonarCloud checks

What I do

Diagnose. Structure. Deliver.

Diagnose & Frame

I identify structural problems beneath surface symptoms.
Through stakeholder interviews, ecosystem mapping, and behavioral analysis, I define the real constraints shaping a system before proposing solutions.

Structure & Align

I translate ambiguity into scoped roadmaps.
From defining MVP boundaries to modeling feasibility and impact, I align cross-functional stakeholders around measurable outcomes.

Validate & Iterate

I validate before scaling.
Through rapid prototyping, experimentation, and early-market testing, I reduce engineering waste and ensure product decisions are grounded in evidence.