David Woo

Undergraduate Researcher

• Developed and implemented an intuitive user interface for the Interpretable Machine Learning Platform, resulting in a 50% increase in user engagement and a reduction of 20% in user error rates
• Developed a user management system using the Django framework that enabled Single Sign-On (SSO) sign-up and implemented 2FA SMS verification through integration with Twilio, resulting in improved security
• Collaborated with a cross-functional agile team of 6 members, participating in weekly development meetings to discuss progress, resolve challenges, and ensure timely completion of project milestones
• Coordinated with cross-functional teams, including UW IT, to deploy a project using Gunicorn and Nginx, resulting in a seamless and efficient internal application launch

Chemical, Biological, Radiological, and Nuclear Specialists

• Periodically updated highly sophisticated military equipment to maintain the defense security system
• Managed five team members as Squad Leader during the training

Software Engineer Intern

• Collaborated with the UI/UX team to design an intuitive user interface for the medical client's software resulting in a 25% decrease in user errors and improving overall user satisfaction
• Optimized the Firebase cloud infrastructure for the application resulting in a reduction of app loading time by 30% and improved user experience
• Designed and executed an intuitive customer service User Interface (UI) using React, leading to a 30% improvement in customer satisfaction scores

University of Washington

GPA: 3.23

AI-Driven SAT Math Platform

• Contributed to the development of an innovative AI-driven platform designed to generate SAT math problems, solutions, and detailed explanations with multiple choice options, leveraging the OpenAI API for dynamic content creation
• Spearheaded the implementation of a math formula rendering page, utilizing 'react-katex' combined with 'remark' and 'markdown' node libraries to display complex mathematical equations and formula
• Played a key role in integrating AI-generated content seamlessly into the platform ensuring a coherent and engaging user experience for SAT preparation

Google Summer of Code - JSON Schema Organization

• Developed a comprehensive strategy to expand test coverage using MSW and Jest, integrating unit, integration, and end-to-end tests to elevate code quality and reduce production bugs
• Developed error-catching mechanisms within the script, logging issues without interrupting execution, allowing for continued operation and resilience in data collection
• Engaged in proactive problem-solving and innovation, proposing solutions to enhance project scalability and maintain high quality as the project evolves

TASK TRACKER

• Engineered a Progressive Web Application (PWA) with Next.js hosted on AWS Amplify, offering users a streamlined experience for tracking task progress and managing time allocation
• Implemented DynamoDB as the primary database for data management resulting in a 50% reduction in query response time and improved application performance
• Contributed to creating a user-centric application that enhances productivity and task management, emphasizing a commitment to delivering high-quality software solutions

Parallel programming research

• Developed a benchmark program to run the MASS CUDA library, focused on data science and parallel simulation in agent-based modeling(ABM)
• Ported the Bank Bail-in and Bail-out simulation from MASS C++ to MASS CUDA, as part of the benchmark test set, to stabilize MASS CUDA’s execution
• Reported bugs and compared the programmability between MASS C++ and MASS CUDA versions

PERSONAL PORTFOLIO WEBSITE

• Developed and implemented a personal portfolio website using modern Node.js , HTML , and CSS
• Designed and implemented innovative UI features using jQuery , resulting in a 30% increase in target audience engagement

WEB SCRAPPING

• Devised and implemented a Search job engine that finds jobs related to a user’s skill
• Implemented data scraping algorithms to extract job and internship data from 5 different portals resulting in a comprehensive dataset compiled in a . CSV file
• Developed a web Erecting tool using Beautiful Soup and Python resulting in a 50% reduction in data collection time compared to manual methods