I am a Computer Science & Software Engineering and Economics double major at the University of Washington, expecting to graduate in June 2028 with a 3.81 GPA. I build products from discovery through launch, combining product strategy, software engineering, and data to turn complex problems into useful experiences and measurable outcomes.
January 2026 - Present
Hikely
Built a mobile MVP for hikers combining trail discovery, real-world coordination, regional communities, and photo-based memories. Designed Hikecasts, Polaroid-style scrapbooks, and campus-first trust and discovery features.
August 2026 - Present
MSA-UWB
Built a receipt and reimbursement platform that achieved a 100% submission rate and end-to-end spending visibility. Manage $10K+ in club spending, budgets, approvals, and reimbursements.
June 2025 - November 2025
The House of Wisdom
Led an eight-person team from discovery through launch for a platform serving 100+ users. Automated workflows across 300+ students and 50+ employees, improving administrative efficiency by 50%+ and supporting a 40% reach increase and funding growth from $100K to $300K.
October 2025 - Present
Trickfire Robotics (Student Organization)
Developed autonomous navigation algorithms using Python, computer vision, and LiDAR for a competition Mars rover. Used OpenCV and ROS to process sensor input and support real-time obstacle detection and path planning.
Hackathon & Shark Tank Winner - 1st Place
Built an analytics MVP for grassroots campaigns using an LLM-based NLP pipeline and React dashboards to surface sentiment shifts, influential accounts, and cross-platform engagement. Also shaped pricing and go-to-market recommendations.
(Closed-source)
View LinkedIn Post →Built a geospatial ML pipeline using 400,000+ DOE and OpenStreetMap records to identify charging deserts. Joined the data with Python and PostGIS, then used XGBoost and Prophet to forecast demand and rank expansion regions.
Analyzed 10 years of market data and simulated 50,000 portfolios using Pandas and NumPy. Compared expected return, volatility, and Sharpe ratio while visualizing the efficient frontier and optimal allocations.
Analyzed the disparity between the U.S. minimum wage and cost of living by modeling how wage trends would appear if indexed to inflation, using PostgreSQL and BLS data. Developed Power BI dashboards visualizing long-term affordability changes for housing, offering clear insights into economic trends.