Full-stack developer and postdoctoral scholar focused on building educational and AI-powered systems. I design and deploy interactive learning tools that integrate large language models and machine learning to create intuitive, accessible learning experiences.
Technologies Used: TypeScript, Rust, WebSockets, Docker, AWS
RoboScape Online is a networked educational robotics simulation platform designed for novice programmers. It enables students to control virtual robots in a 3D environment, facilitating collaborative learning and remote education. The platform integrates with a block-based programming language, NetsBlox, to make robotics accessible to beginners.
Technologies Used: Python, Torch
kidGPT is a research project working to make large language models (LLMs) more accessible for young learners while avoiding potential harms from inappropriate outputs. By training LLMs on age-appropriate, licensed data, we aim to create an ecosystem of transparent, safe tools to allow children to explore how large language models are trained and used.Technologies Used: TypeScript, Svelte, SvelteKit, Supabase, Postgres
We wanted to utilize a freshman course for a research study, but needed a way to conduct interviews at scale while also reducing bias. This platform uses AI to conduct anonymous semi-structured interviews with students, allowing researchers to gather qualitative data without needing to perform interviews individually.Technologies Used: TypeScript, Svelte, Rust, TensorFlow.js, Postgres, AWS
Young students learn about computational thinking, machine learning, and AI ethics through an interactive game. Students train and test machine learning models in a custom age-appropriate interface, while also considering the ethical implications of AI technologies.
Technologies Used: TypeScript, OpenAI API
BloxBuddy is an AI-powered assistant designed to help students learn block-based programming in NetsBlox. Students are guided through a conversation designed to keep them on track, while also being helpful without sacrificing the learning process by giving away answers.Technologies Used: TypeScript, Svelte, TensorFlow.js
Time series gesture recognition blocks for Scratch, using classification models trained with TensorFlow.js in a custom web interface. These blocks allow students to create interactive applications that respond to dynamic body movements.Find more of my research on Google Scholar and my ORCID profile.
Technologies Used: TypeScript, CSS, Tabular Q-Learning
A reinforcement learning demo learning a blackjack strategy. Q-Learning is a model-free approach, but within a few thousand rounds it should have learned to always hit when under 10, not to hit on a 19 or 20, and be more likely to hit when it has an ace.Feel free to reach out if you have any questions or would like to collaborate on a project!
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