AI for Education (RAG Systems)
Textbook chunking → embeddings → vector search → dual-language answer generation.
Computer Science & Economics at Harvard
Undergraduate at Harvard studying CS and Economics. Building bilingual AI tutors, healthcare software, and data-driven systems for social impact.
Get in TouchAI-powered bilingual tutor for Form 1 Biology, built with LangChain, Pinecone, GPT-4 Turbo, and FastAPI. Supports summarization, revision Q&A, and free-form modes with dual-language (Swahili + English) output.
Full-stack platform for authentication, registration, and mentorship matching. Built with React, Supabase, and CI/CD pipelines for reliability and scalability.
Interactive bilingual learning app that generates English and Swahili flashcards with GPT-4 summaries, TTS audio, and a pastel-themed interface.
Scroll-based digital story built with HTML, CSS, and JS. Features glitch animations, ambient soundscapes, and dynamic chapter transitions.
I'm a Harvard student studying Computer Science and Economics, passionate about AI for education, data systems, and socially grounded computing. My work spans AI tutoring systems, healthcare automation, and digital storytelling. I've interned at Kerugoya County Referral Hospital, built a bilingual AI tutor through the Harvard GenAI Research Program, and led HUMIC's multi-agent self-learning assistant. I also serve as Associate Director of Engineering for Harvard WECode and as Secretary of the Harvard African Students Association.
Textbook chunking → embeddings → vector search → dual-language answer generation.
FastAPI, PostgreSQL, REST APIs, Docker, Pinecone vector stores.
Next.js, React, Tailwind — clean pastel-themed UIs for learning tools.
Triangle counting, Strassen matrix multiplication, runtime analysis.
CrewAI agents for retrieval, summarization, and adaptive self-learning workflows.
Iterative development, curriculum alignment, and evaluation for real-world impact.