Building AI-powered healthcare solutions | Data pipelines & AI integration expert | Ready to innovate at your startup
Intro
I'm a third-year Computer Science B.S. student at the University of California, Santa Cruz, graduating early with a passion for building AI-powered solutions that solve real-world problems. Recently, I discovered the importance of traveling alone to new places and exploring, which has opened my eyes to the value of stepping into the unknown and embracing curiosity-driven discovery.
This spirit of exploration and curiosity goes hand in hand with what drove me to create "Done," an AI-powered health intelligence platform that has the potential to help many patients in this era. Just as traveling alone teaches you to navigate unfamiliar territory with confidence, building this healthcare AI required me to venture into uncharted technological landscapes, combining Google Gemini AI with custom health data analysis to transform fragmented information into life-changing insights.
I'd be open to being part of your startup, where I can bring fresh and valuable experience to create AI applications and agents that help the world. My combination of technical expertise, innovative thinking, and willingness to explore new frontiers makes me eager to contribute to building the next generation of AI solutions that make a meaningful impact on people's lives.
Projects
1. Done - AI-Powered Health Intelligence Platform
Done is a revolutionary full-stack health tracking platform that transforms fragmented health data into actionable intelligence through AI-powered insights. Built for HackGT, this comprehensive application addresses the critical problem of disconnected health management by integrating period tracking, blood work analysis, and medication management into one intelligent ecosystem.
Key Features
Intelligent Period Tracking: Advanced menstrual cycle predictions with fertility windows, ovulation tracking, and personalized insights
Blood Work Analysis: Interactive visualizations of biomarker trends with personalized normal ranges and health correlations
Medication Management: Smart adherence tracking with AI-powered effectiveness analysis
Remedy AI Chat: Personalized health assistant that learns from user experiences and provides traditional remedy suggestions with effectiveness tracking
Health Memory System: Learns what remedies work for each individual user, building a personalized health knowledge base
Technical Stack
Frontend: Next.js 13, TypeScript, Tailwind CSS, UI components, Recharts for data visualization
Backend: Node.js API routes, Neon PostgreSQL, Drizzle ORM for type-safe database operations
AI Integration: Google Gemini AI with custom context engine that analyzes cross-data relationships
Analytics: Snowflake data warehouse for population health insights
Impact
Done represents the future of personalized healthcare - moving beyond simple data collection to intelligent health management. The platform empowers users to make informed decisions by providing AI-driven insights based on their actual health patterns rather than generic advice.
Built during HackGT as a solo developer project, demonstrating full-stack development capabilities, AI integration expertise, and healthcare domain knowledge.
Collaborated on building a full game emulator from the ground up. I implemented keyboard input handling with SDL,
mapping keypresses to emulator memory, and added debugging tools to visualize the controller state in binary.
As an extra feature, I integrated a GUI color picker for real-time customization of game elements.
A C++ implementation of a Sudoku solver using constraint satisfaction techniques such as backtracking, forward checking, and the MRV heuristic.
I developed automated test cases using shell scripts to validate the solver's accuracy across a wide range of inputs.
Looking ahead, I plan to expand this into a full-stack web application using React and Node.js/Express for interactive Sudoku solving.
Experience
Data Analyst Intern – Methix
June 2025 – Present (Remote)
Build and maintain data pipelines using Azure Blob Storage, Cosmos DB, and Python.
Automate web scraping and JSON data conversion to streamline data ingestion.
Collaborate with data analysts to process internal datasets for AI training.
Enhance data quality and accessibility via validation, transformation, and indexing.
Support AI developers by ensuring structured and reliable datasets for model development.
Production Assistant at DRC - UC Santa Cruz
June 2025 – Present
Selected for the Chancellor’s Undergraduate Internship Program (CUIP), a competitive leadership and professional development opportunity.
Convert academic materials into accessible formats (e.g., e-text, braille, audio) using specialized assistive technologies.
Redesign and optimize internal DRC web resources to improve accessibility and usability for students with disabilities.
Maintain documentation and contribute to process improvements in media production.
Participate in leadership seminars and mentorship programs to build core professional competencies.
This is bold and this is strong. This is italic and this is emphasized.
This is superscript text and this is subscript text.
This is underlined and this is code: for (;;) { ... }. Finally, this is a link.
Heading Level 2
Heading Level 3
Heading Level 4
Heading Level 5
Heading Level 6
Blockquote
Fringilla nisl. Donec accumsan interdum nisi, quis tincidunt felis sagittis eget tempus euismod. Vestibulum ante ipsum primis in faucibus vestibulum. Blandit adipiscing eu felis iaculis volutpat ac adipiscing accumsan faucibus. Vestibulum ante ipsum primis in faucibus lorem ipsum dolor sit amet nullam adipiscing eu felis.
Preformatted
i = 0;
while (!deck.isInOrder()) {
print 'Iteration ' + i;
deck.shuffle();
i++;
}
print 'It took ' + i + ' iterations to sort the deck.';