I build AI educational tools that personalize learning experiences and make quality education accessible to all learners, particularly those with non-traditional backgrounds and communities that have been historically underserved or overlooked. I have a master's degree in Computer Science from Johns Hopkins University, where my research focused on using Informational Retrieval and Generative AI to develop personalized education systems. Prior to this, I studied Linguistics and English at UC Berkeley.
My experience includes supporting AI Education programs for both technical and non-technical audiences. While at Johns Hopkins, I spent one year working on Apple's internal AI Education team, where I collaborated with educators and domain experts to create NLP and ML learning materials for engineering, research, and annotation teams.
My goal is to empower people using AI and Education. AI has the power to enhance human capabilities, as well as personalize learning to fit individual goals and backgrounds. Meanwhile, education is a longstanding tool for empowerment, leading to knowledge and opportunity. I envision a future where together, AI and Education equip individuals with the critical thinking and technical skills to bring their visions to life and make a meaningful impact.
My Work
I currently develop conversational AI and personalized learning systems. My MS thesis turned passion project GAITA is an LLM RAG chatbot that creates personalized CS learning pathways from open-access courseware. Inspired by my own transition into this field from a nontechnical background, I started Gaita to make open-access AI education more effective and accessible by tailoring it to people's diverse backgrounds and goals.
I also served as the Technical Lead for a similar RAG system developed for the NIH AIM-AHEAD Data Science Training Core, in collaboration with the Johns Hopkins Center for Digital Health and AI (CDHAI). This tool helps users navigate data science courses while addressing disparities in medical research.
For a complete list of my research work, please visit my ResearchGate and GitHub profiles.
GAITA
GAITA (Generative AI Teaching Assistant) is a RAG chatbot that generates personalized Computer Science learning pathways from open-access educational resources, reducing choice overload and making AI education accessible to learners with nontraditional/nontechnical backgrounds.
Detecting Suicide Ideation with Text Classification
A machine learning project that evaluates and compares different models for detecting suicide ideation in Reddit posts. The project aims to identify at-risk individuals through text analysis and provide insights for mental health intervention. (This was my first NLP/ML project!)
On the Use of Metaphor Translation in Psychiatry
A literature review exploring the importance of metaphors in psychiatric discourse, the shortcomings of mental healthcare for people with Limited English proficiency (LEP), and emerging solutions in Machine Translation.
Essays
I enjoy writing about theoretical Linguistics and Literary Theory. If you look closely, you may catch traces of Longinus, Burke, Kant, and the Russian Formalists. Visit my Medium page for the complete list of my work.
AI & ML Tutorials
Contact Me
Feel free to reach out if you’re interested in connecting, collaborating on AI or education-related work, or exchanging ideas :)