EECS & Business student in the Management, Entrepreneurship, and Technology (M.E.T.) Program at the University of California, Berkeley
As a TA for CS 70, I teach biweekly discussion sections to 40 students, answer conceptual issues in office hours, and grade students' assignments and exams.
I co-created an intro to software engineering course at Berkeley, which covers practical SWE tools (e.g., Git, Docker, etc.) and has positively impacted 60+ students to date.
As a member of ML@B, I'm exploring the applications of computer vision to healthcare with peers and independently delving into distributed systems.
I'm a builder 🔨. In the past, I've started a dance company, created a simulation to educate 2.5M+ youth about racial inequities in medicine, and won national hackathons. Now, I'm building software solutions to drive humanity forward.
I'm currently working at the intersection of computer science 💻 and medicine 🧬, using machine learning as a tool to advance public health efforts. I'm leading machine learning development at a Berkeley SkyDeck-backed health-tech startup, working on integrating real-time climate and weather data with individual health data. My technical interests lie in machine learning and full-stack development ⚙️. As a software engineering intern at Dell Technologies, I've gained practical experience creating enterprise-grade SaaS products. My internship project is currently being used in production by the CIRRUS and PowerFlex Organization at Dell.
I'm also passionate about teaching ✏️, and I'm actively working on a course that covers practical use-cases for essential software engineering tools, including Git, Vim, APIs, Docker, and Kubernetes. This course, titled yeSWEcan, will be offered to UC Berkeley students in the fall semester, and course resources will be posted online.
Beyond academics, I love to explore the outdoors and enjoy hiking 🌿. Some of my favorite hikes are in my home state of Washington, including the Snow Lake Trail and Hurricane Hill via Hurricane Ridge. I enjoy reading and watching historical accounts and (auto)biographies in my free time. Some of my favorite books are The Unwinding of the Miracle by Julie Yip-Williams and The Beekeeper of Aleppo by Christi Lefteri.
All-in-one interactive website with up-to-date COVID-19 data and analytics, including a medication interaction checker (verifies if a drug combo is safe), visual representation of current cases globally on an interactive map, and an estimator for necessary quantity of household supplies/necessities
An easy-to-use user dashboard that uses a machine learning model to visualize your friends' moods based on analysis of recently played songs on Spotify