Cheney Wu Email & Phone Number

New York, United States

- Engineered backend services and optimized SQL Server database queries for the NYC Emergency Rental Assistance Program portal, streamlining application processing.- Developed and deployed responsive UI elements with ASP.NET, reducing navigation time on the client portal - Implemented high-efficiency RESTful APIs using ASP.NET Web API, boosting data communication performance- Applied test-driven development (TDD) practices, enhancing code quality and increasing successful builds

- Built a shared library of reusable and extensible React components for user input forms and dashboards, enabling scalable frontend architecture and reducing development time by 30%- Utilized Redux Toolkit for state management, increasing development efficiency by 40% and reducing debugging time by 25%, facilitating easy scalability as the application grew- Launched a high-performance RESTful application with Node.js and Express, creating a real-time data streaming platform for Kafka cluster connectivity, enhancing data processing speed by 20%- Refactored and modularized codebase, reducing code volume by 23% and improving maintainability and performance- Designed scalable data models in PostgreSQL, optimizing data retrieval and ensuring robust application performance, reducing query response time by 15%

New York, New York, United States

- Integrated OpenAI's API to generate concise article summaries, increasing user productivity by 25% by providing key insights quickly - Developed modular frontend components using React, enhancing reusability and scalability of the application architecture by 30% - Implemented Redux for centralized state management, improving data flow efficiency by 20% and application performance by 15% - Conducted comprehensive code reviews and refactoring, simplifying scalability and maintenance, reducing bug reports by 25%

New York City Metropolitan Area

- Achieved 65% component coverage with React Testing Library, ensuring application reliability and stability through rigorous testing - Boosted test case coverage by 20% with Jest, improving overall application reliability and code quality by 15% - Redesigned the application with intuitive UX principles, increasing user engagement by 35% and reducing support inquiries by 30%

- Created a Google Chrome extension using DOM manipulation and event handling to detect highlighted text, improving user interaction efficiency by 40% - Designed an intuitive popup interface for seamless translation, eliminating the need to switch to external tools, enhancing user convenience by 35% - Integrated AI-based translation services via REST API, ensuring accurate and efficient translations across multiple languages, improving accessibility and usability by 40%

New York, United States

Master Of Science - Ms, Computer Science

Program: Part-time Status: Provisionally accepted, completing prerequisites Focus: Artificial Intelligence

Undergraduate Coursework, Computer Science, A

Calculus I, Calculus II, Introduction to Programming with Java, Data Structures

Computer Software Engineering

Bachelor'S Degree