Zhufeng Qiu Projects Experiences About me Home

Education Experience

Northeastern University, Khoury College of Computer Sciences

  • M.S. in Computer Science, GPA: 4.0/4.0
  • Related course: Programming design paradigm, Web Development, Mobile Development
Seattle, US
Jan. 2023 - May 2025

University of Southern California, Viterbi School of Engineering

  • M.S. in Applied Data Science, GPA: 3.83/4.0
  • Related course: Algorithm, Data mining, Machine learning, Data management
Los Angles, US
Aug. 2019 - Mar. 2021

Wuhan University

  • B.S. in Geographical Information Science, GPA: 3.58/4.0
  • Related course: Data structure, Linear algebra, Discrete mathematics, Probability theory and statistics
Wuhan, China
Sep. 2014 - Jun. 2018

Work Experience

Northeastern University, Seattle Campus

  • Teaching Assistant for CS6240 Parallel Data Processing
Seattle, US
Jan. 2025 – Apr. 2025

DigiTech IT Solutions (Intern)

  • Create a SAAS platform SPA by using React, React-Redux, Redux-Form, with (Express + NodeJS) as REST API backend to talk to database (MySQL).
  • Develop data-driven dynamic applications for rendering full accessible user interfaces.
Santa Clara, CA(Remote)
Sep. 2024 – Dec. 2024

Northeastern University, Seattle Campus

  • Teaching Assistant for CS5800 Algorithms
Seattle, US
Jan. 2024 – Apr. 2024

NSFOCUS Technologies Group Co. Ltd.

  • Connected original product logs to Kafka topic, preprocessed and normalized these original logs, and then stored filtered normalized data in Elasticsearch engine.
  • Established the Item/User-based Collaborative Filtering models, and stored user eigen-vector in HBase to provide the decision-making guide for emergency response. Achieved success alerting response to 100 percent of severe threats and 90 percent of high threats as measured by a Telecom Operator client.
  • Led a team of three people to develop and maintain the CI/CD pipeline to implement and update the data-normalization module for the malicious traffic alarm platform by utilizing Spark framework, and performing MapReduce batch process to generate weekly reports, which serves over 100 clients at an average dataflow of 5M per day.
Wuhan, China
Jun. 2021 – Dec. 2022

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