Wendy Feng

Wendy Feng

Software Engineer Intern @ Jobright.ai

About

Hey, I’m Wendy F! I’m a Computer Science student who loves working on full-stack projects and building software that actually scales. I’ve gotten hands-on experience with React, Node.js, and Python/Django, plus both SQL and NoSQL databases, through a mix of class projects and personal work. I’m all about collaboration, problem-solving, and writing clean, efficient code. Working on both the frontend and backend has taught me how the full development process works, and how important it is to communicate well with a team. I’m passionate about creating systems that aren’t just functional but also easy to use. As I get closer to graduation, I’m excited to bring my skills to a forward-thinking company where I can keep learning, building, and making an impact. Always happy to connect and chat about tech, projects, or opportunities!

Country

United States

City

Seattle

Industry

Computer Software

Skill

Software Infrastructure, Internet Software, Academic Support Services, Research Skills, Python (Programming Language), Higher Education Research, Research Writing, Research Support, React.js, Node.js, SQL, Computing

Experience

Jobright.ai

Software Engineer Intern

Jobright.ai

LinkedIn
2026-1 - Present · 9 mos
University of Washington

Undergraduate Research Assistant

University of Washington

LinkedIn
2025-1 - 2025-12 · 1 yr
Amazon Web Services (AWS)

Full Stack Engineer

Amazon Web Services (AWS)

LinkedIn
2025-6 - 2025-8 · 3 mos

Contributed to full-stack development of internal tools using React, Node.js, and AWS services. Designed and optimized RESTful APIs, improving system performance and scalability. Worked with cloud services such as AWS Lambda, DynamoDB, and S3 to build and deploy applications. Applied cloud-native best practices in a large-scale production environment.

Sekai

Full Stack Engineer

Sekai

LinkedIn
2025-1 - 2025-3 · 3 mos

Built and tested web features using React, Node.js, and MongoDB to support full-stack development tasks. Assisted in debugging and improving backend APIs, which improved response time and reliability. Collaborated with senior engineers on code reviews and learned best practices for clean and reusable code. Gained hands-on experience in deploying and maintaining applications in a team environment.

Education

University of Washington

University of Washington

LinkedIn

Computer Science

2022 - 2026 · 4 yrs

Wendy Feng's Contact Information

Email

******@***.com

Phone

(**) *** ****

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