Hey there, I’m
Ayana Griffin, a
Stanford CS Student
I’m a graduate student at Stanford studying Computer Science and passionate about designing equitable, beautiful technologies for social impact.
Hey there, I’m
I’m a graduate student at Stanford studying Computer Science and passionate about designing equitable, beautiful technologies for social impact.
Hi, I’m Ayana! I’m a computer science graduate student at Stanford University passionate
about building technology that empowers and includes. I did my undergraduate degree in
Symbolic Systems (Human-centered AI specialization), combining
psychology, education, and philosophy with CS. My work today sits at the intersection
of education, technology, and equity, designing tools that create meaningful learning
experiences for everyone, especially those historically left out of tech spaces.
Over three summers as a software engineering intern at Microsoft, I worked on AI-powered
tools for financial operations and cost analysis, which honed my ability to build at scale
while staying rooted in user needs. Beyond work, I thrive on sharing knowledge. Whether
teaching coding workshops, mentoring young students through volunteer organizations such
as Black Girls Code, or speaking
about the power of representation in STEM, I love sparking curiosity and confidence in others.
When I’m not behind my laptop, you’ll probably find me crocheting, caring for my growing
collection of succulents, or exploring new corners of the world (I hope to hit all seven
continents before turning 30!).
At my core, I believe technology should not only solve problems but also connect people
and open doors. That vision drives everything I create. See some of my work below!
A research-informed productivity app designed to support women with ADHD in creating sustainable, motivating study routines. Grounded in cognitive science and inclusive design principles, StudyBud integrates AI-generated prompts, personalized encouragement, and flexible work-break cycles to accommodate diverse attention patterns. Available on the App Store soon! The presentation below was given as a guest lecture talk for an accessibility design course at UCSC.
Built with React Native, Swift, Figma, and SQL
View StudyBud Presentation
A mobile application for Computers2Kids, an organization that has helped over 100k families get access to necessary technology. This app streamlines the process of getting computers to those in need by allowing users to apply for and request tech, tech assistance, and more!
Built with React Native, Node, Express, Heroku, and Salesforce
View App Case Study
Show & Tell is an AI-guided platform that helps young children create and share explainer videos with their families. Featuring a friendly AI guide named Cami, it supports kids through planning, recording, and presenting their ideas. Grounded in research on digital play, parasocial learning, and culturally responsive design, Show & Tell fosters creativity, communication skills, and meaningful family connections—making technology a bridge that amplifies children’s voice
Design and research project built with Figma
View Show & Tell PresentationA research-backed app targeting impulse shopping, grounded in user studies and iterative design, that transforms shopping urges into mindful, goal-oriented board curation.
Built with Figma
A narrative puzzle game featuring original artwork and an object-based dialogue system, where players navigate quirky office tasks that gradually reveal the unsettling realities of corporate life.
Built with GML and original artwork
A social word puzzle platform where users play personalized daily word games (like Wordle), compete with friends in real-time leaderboards, and engage in group discussions—all within a single, private community.
Built using piggyback prototyping
An API that enables Azure customers to seamlessly import large-scale usage data into Microsoft Fabric, transforming raw tables into actionable insights for easier analysis.
Built with .NET and C# for my 3rd Microsoft internship
A Visual Studio Code extension that streamlines Microsoft documentation by automatically classifying article types and generating guideline-compliant templates from a brief user input.
Built with Node.js and the OpenAI API for my 2nd Microsoft internship
A developer toolkit for Microsoft Outlook that introduces actionable messages, showcases their use cases, and provides a starter web app template to streamline building them through the API.
Built with .NET and C# for my 1st Microsoft internship
I’d love to hear from you!
Contact me via LinkedIn and I'll be in touch!