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At 15, I was building gaming PCs and realized assembling hardware wasn't enough; I needed to understand what made it all work. Delving into it, computer science grabbed me as the most fundamental form of modern engineering; the discipline that literally computes reality into existence. I saw a beautiful freedom in the tool that was just then unveiling its possibilities to me.
Through debugging neural simulations, far too many math courses, and discovering virtue ethics, I landed somewhere that makes sense: In an intersection that told me, I care deeply about what technology can achieve, but just as much about how and if we should be achieving it. I found the gap between the tech world and the rest of the world was growing alongside my broadening knowledge of both, and so, I have devoted myself to bridging this. I'm studying computer science and philosophy because the future needs people who can build systems and interrogate them.
My next move is graduate school, focusing on AI ethics and philosophy of mind; making sure we're building technology that actually works for people, not just technically but humanly. Until then, you can find me climbing rocks, exploring the world of culinary, hiking with friends, and traveling whenever I can. Good ideas don't come from staring at screens; they come from moving, from putting your hands on real things, from stepping back far enough to see what you're actually doing.
Minor in Philosophy. Relevant coursework includes Deep Learning, Neural Networks, NLP, Philosophy of the Human Mind, Cognitive Neuroscience, Tech Ethics, Contemporary Ethics, and Metaphysics.
Completed entire fullstack redesign of the CEC website, improving accessibility and user experience to achieve 22% increase in engagement and 45% increase in event attendance. Designed and implemented surveys, experience reports, and automated data pipelines for all UC Merced-affiliated community programs.
Transformed theoretical neural circuit models into fully functional implementations in Kotlin & Java, enabling researchers to simulate diverse neurological systems. Enhanced platform accessibility through library improvements, comprehensive documentation, and UX refinements.
Architected backend data pipelines in Python and SQL, automating CSV ingestion with validation, creating infrastructure for medical data management across millions of records. Collaborated on Django and PostgreSQL interfaces to optimize seamless backend-frontend integration.
Hospital safety data visualization and analysis tool
Developed data processing scripts in Python to extract, clean, and organize large sets of EEG data, identifying and isolating relevant neural features. Collaborated with a graduate researcher to translate processed neurological data into actionable insights about sensory processing in the human brain.
Collaborated with full-stack engineers using Python, JavaScript, and React to design and implement new experiential learning activities for a science education app, boosting user engagement and information retention among K–8 students.
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Team-Lead capstone project developing STEM educational video games with LLNL researchers, investigating the effectiveness of game-based learning environments for user engagement, information retention, and learning-environment feasibility.
Live educational website teaching the functional principles of large language models through interactive visual demos for tokenization, vector embeddings, self-attention, and RLHF. Built in vanilla HTML, CSS, and JavaScript.
Live website and 2nd place hackathon winner. Full-stack AI course creator that generates personalized curricula with curated resources based on subject, timeline, depth, and learning style.
I'm currently open to new opportunities and would love to hear from you. Whether you have a question, a project idea, or just want to say hi, feel free to reach out!
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