I build personalized learning systems that make AI more accessible through education and education more effective through AI. I have a master's degree in Computer Science from Johns Hopkins University, where my research focused on combining Informational Retrieval and Generative AI to develop adaptive, learner-centered learning pathways. 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 a year 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 across every field and 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 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 design and build AI-powered personalized education systems. My passion project GAITA is a conversational RAG system that generates personalized CS learning pathways from open-access courseware. Inspired by my own transition into CS from a nontechnical background, I started GAITA to make open-access education more effective, relevant, and applicable by tailoring it to individuals' diverse backgrounds and goals. I also served as the Technical Lead for a similar system for NIH's AIM-AHEAD Data Science Training Core, built in collaboration with the Johns Hopkins Center for Digital Health and AI (CDHAI), to help biomedical researchers and students integrate Machine Learning into their work.
Looking ahead, I plan to expand into English and AI/Digital Literacy and reshape education into something that meets people where they are in their learning journey and personal circumstances. My goal is to democratize quality education, especially for nontraditional and underserved communities, and empower everyone to do meaningful work.
For a complete list of my research work, please visit my ResearchGate and GitHub profiles.
GAITA
GAITA (Generative AI Teaching Assistant) is a RAG system that generates personalized Computer Science learning pathways from open courseware, reducing choice overload and making AI education accessible to learners with nontraditional/nontechnical backgrounds.
Detecting Suicide Ideation with Text Classification
My first 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.
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, Literary Theory, Music Theory, and NLP. If you look closely, you'll see that my biggest literary influences are Longinus, Burke, Kant, and the Russian Formalists. Visit my Medium page for the complete collection 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 :)