Jennifer Fu

Jennifer Fu is a veteran frontend engineer with over 20 years in enterprise software, specializing in React and modern web development. Her work spans AI, machine learning, storage, and security, giving her a broad perspective on building scalable, user-focused applications. At Domino Data Lab, she helped modernize frontend infrastructure and deliver innovative solutions—experience that gives her unique, real-world insight into the challenges candidates face in frontend interviews.

books by Jennifer Fu

Acing the Frontend Interview
  • MEAP began August 2025
  • Last updated December 2025
  • This book is in development
  • ISBN 9781633435292
  • 250 pages (estimated)
Included with a Manning Online subscription
  • printed in black & white
catalog / Data Science / Miscellaneous / Interview Preparation
resources: Source code Book forum Source code on GitHub

Acing the Frontend Interview lays out what employers are looking for when hiring frontend roles, and how you can show those qualities at interview. You will review in-demand frontend skills, from technical concepts like UX and performance, to collaboration across teams, culture fit, and even how well you work with AI. Stay up to date with the latest frontend technologies like React 19 and the Vite development environment, and learn to use established communication frameworks such as RADIO and STAR to prove your skills with confidence. Hands-on coding examples help reinforce key concepts and let you prepare for practical interviews.