Driving users to discover, learn, and collaborate through Notion!

Improved the reliability and scalability of Presence, ensuring Notion reliably and efficiently shows who is on a page and where they are. Refined client-side and server-side protocols for logging page visits and exits, raising the data reliability and accuracy of Presence. Restructured Presence data to be more lightweight, reducing Presence’s average message size by 85% and max message size by 99%. Utilized React and Typescript to add error handling for linked images, displaying error components when image links are unavailable. Built support for simultaneous foreground and background text colors, revamping Notion’s color picker to accommodate this feature.

Built a cloud-hosted developer environment (devbox) that reduced setup time by 95% using Bash Scripting and AWS (EC2, AMI). Automated the creation and management of devboxes for 200+ engineers, turning devboxes into the primary developer setup at Zip. Implemented a cost-saving AWS Cloudwatch alarm system that automatically stops devboxes with low CPU utilization. Cut AWS OpenSearch reindex time by 40%, using database sharding to split up work and Kubernetes pods to parallelize reindexing. Leveraged job duration logs stored in AWS S3 to dynamically rebalance job assignments for parallel workers, distributing work evenly.

Created the Consumer App’s analytics module (tracks user actions) and network module (tracks API requests) using Swift and SwiftUI. Leveraged Swift data bindings and Combine publishers to develop modules with an MVVM architecture, improving code modularity. Created unit and snapshot tests with XCTest for restaurant view-models and displays, increasing the Consumer App’s test coverage.

Developed an admin portal with React and Javascript that helps admins search for and update customer data (energy use, billing, etc.). Designed Dockerfiles and Makefiles to containerize the admin app and automate Docker image builds across different environments.

Built a suite of public cloud integrations that helps Postman users leverage Azure and AWS services (17k+ views, 400+ forks). Chained requests to Azure and AWS endpoints to develop a website management integration, allowing users to manage API Schema, design authentication flows, and create blobs in the cloud directly from Postman.

Contracted by Berkeley Student Cooperative through Cal Blueprint to develop a work shift web app using React, Typescript, Next.js, Firebase, and MaterialUI. Leveraged MaterialUI components and the Firestore API to create a responsive webpage that streamlines the process of shift assignment, incorporating an algorithm that matches workers to shifts based on availabilities and preferences. Devised and implemented the backend schema used to store members and shifts, following principles of modularity and abstraction.

Lectured and created homeworks for CS 198, the leading web development class at UC Berkeley with 120+ students per semester. Helped students use HTML, CSS, Javascript, and Figma to build their own websites from scratch.

Developed course materials, hosted office hours, and taught discussion sections about core database systems concepts, including query optimization, distributed transactions, parallel query processing, and indexing mechanisms.

Hosted office hours to teach students about algorithmic concepts (Fast Fourier Transforms, graph decomposition, network flow, and NP-Completeness) and algorithmic frameworks (Divide and Conquer, Greedy, Dynamic Programming, and Linear Programming). Graded 500+ students' homework and exam submissions.

Taught 30+ students fundamental CS concepts in Python and SQL, including recursion, abstraction, OOP, and efficiency analysis.

Taught lab students how to use Python and NumPy as data analysis tools. Helped students learn various data science techniques, including hypothesis testing, linear regression, and classification.

GPA: 4.00

Activities: Berkeley Codebase, Cal Blueprint, CS 186 - Database Systems (uGSI), CS 198 - Web Design DeCal (Instructor), CS 61A - The Structure & Interpretation of Computer Programs (Academic Intern), CS 170 - Efficient Algorithms & Intractable Problems (Reader), Data 8 - Foundations of Data Science (Academic Intern)