Mountain View, California, United States
2020 — 2023
Mountain View, California, United States
Feature leading and developing features for Atlassian's Cloud Security team.
2018 — 2020
San Francisco Bay Area
Joined as one of the first engineers at Aquabyte, a multinational company that develops sustainable aquaculture solutions using Machine Learning, underwater hardware, and cloud based technologies.
Designed and implemented the initial MVP Customer Dashboard that surfaces sea lice level data in the form of real time overview pages and line/bar graphs using React, Redux, ChartJS, and Node.js, helping the company raise over $10 million in Series A funding.
Architected and implemented a Bounding Box Labeling Interface System using React, Redux, HTML Canvas, OpenCV.js, and Node.js used by a team of annotators to produce training data for internal Machine Learning algorithms.
Created an Internal Dashboard to manage users, view live camera feeds, and manage deployed fish pens using AWS SQS/SNS, Lambdas, DynamoDB, Node.js, Express.js, React/Redux, and Mocha/Chai for unit tests.
Worked with various tools from the AWS suite, such as Elastic Beanstalk, RDS, Route53, CloudFront, API Gateway, and S3, to manage deployments and build features.
Migrated the codebase from a third party user management system to an in-house, JWT based one made using bcrypt, and passport.js.
Provided mentorship to a junior engineer on dashboard features and high impact projects, including a customer facing API.
San Francisco Bay Area
Led Frontend development for Memebox, a $160 million venture-backed Y-Combinator company, on their global e-commerce, recommendation, and community platform for Korean cosmetics.
Reduced page load time by 34% for web (3.3s to 2.1s) and 55% for mobile web (5.3s to 2.4s) by segmenting application into feature-based modules to utilize Angular Lazy Loading. Prioritized e-commerce code to reduce application size by 53% (5.31MB to 2.54MB).
Implemented brand landing pages, affiliate cookie tracking, ambassador shop pages, ambassador revenue dashboards, product description pages, checkout/cart flow, and community features (hashtags, user onboarding, personalized UGC feed, custom product tag-ging) from PRDs and InVision mockups using HTML, Sass CSS, Typescript, jQuery, Angular 4, NodeJS, and SemanticUI.
San Francisco Bay Area
Implemented foundational features in the front and back-end for a real-time, collaborative, enterprise document automation web application based on TypeScript, Node.js, Koa, engine.io, and React.
Interfaced with the Salesforce API using JSForce.js to insert Salesforce Opportunity data into dynamically generated word documents.
Implemented underlying front-end UI framework components such as tooltips, dropdowns, checkboxes, buttons, dialogs, and input fields used in over 90% of the application using React and PostCSS.
Implemented and optimized features for the real-time, OOXML-based online word processor such as Table of Contents, rendering, document sharing permissions, editor UI/UX, comment assignments, and internal/external user comment filtering.
Education
2012 — 2016
University of California, Davis
Bachelor of Science (B.S.)
2012 — 2016