Hello, This is
Jasmine Shi
IS + HCI @Carnegie Mellon
- jasmine_jiayang@outlook.com
- https://www.linkedin.com/in/shijasmine/
About me
I design and build AI products that make complex systems easier to use.
Systems thinking across AI, Product, and User Behavior.
I work at the intersection of AI, human behavior, and product strategy, turning research, technical constraints, and competing priorities into clear product direction.
Across AI, energy, healthcare, education, accessibility, and developer tools, I move between user research and product strategy to define focused products, align teams around real user needs, and build technology that is useful, trustworthy, and human-centered.
Education
2023-2026
Carnegie
Mellon
University
B.S. in Information Systems,
Add. major in Human-Computer Interaction
- GPA: 3.79 / 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 Service 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
Research
May 2025
- Feb 2026
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.
Experience
Jun 2026
- Present
AI Product Management Intern
Supporting an enterprise AI analytics platform from alpha testing through MVP launch, spanning agent evaluation, user research, and product improvements.
Projects
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.
Product Strategy & Interaction Lead
Prioritized and refined product requirements; led functional feasibility confirmation for a wheelchair-mounted robotic retrieval system.
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 through 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 & 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.