Peipei Wang

Software Engineer

United States4 yrs 10 mos experience
Highly Stable

Key Highlights

  • Ph.D. in Computer Science with practical research focus.
  • Experience in automating software development processes.
  • Strong background in data science and machine learning.
Stackforce AI infers this person is a Software Engineer with a strong focus on data science and automation in software development.

Contact

Skills

Core Skills

Software EngineeringProgrammingData ScienceResearchData AnalysisSoftware DevelopmentData Visualization

Other Skills

JavaDatabase ManagementApache SparkData ProcessingPattern RecognitionChange Point DetectionLog AnalysisMetrics SegmentationD3.jsJava Management ToolsGraph DesignCAlgorithmsDistributed SystemsC++

About

My path is from Software Engineering to Computer Science. I would like to combine this two, and be a practical researcher, solving real-world problems.

Experience

4 yrs 10 mos
Total Experience
4 yrs 2 mos
Average Tenure
8 mos
Current Experience

Confluent

Software Engineer

Oct 2025Present · 8 mos · United States · Remote

Bytedance

Researcher/Engineer

Aug 2021Oct 2025 · 4 yrs 2 mos · Greater Seattle Area

Facebook

Summer SDE intern

Jun 2020Aug 2020 · 2 mos · Remote internship WFH

  • The internship project is to automate cherry-pick discovery and management. The automated process of discovering pairs of commits that introduces break-
  • ages and fix breakages, in other words, a cherry-pick, enabling not only cherry-picks that developers manually put
  • into the performance regression experiments pipeline but also automatically manage them in databases through
  • analyzing the history information of successful and failed experiments in incident trackers. The automation is extended to handle not just one single breakage, but also consider multiple breakage scenarios.

Ibm

2 roles

Data Scientist Intern

Jun 2018Aug 2018 · 2 mos · Research Triangle Area, North Carolina

  • The project measures the importance of mining domain-specific knowledge by identifying string literals in thousands of selected
  • GitHub projects by leveraging Rosie pattern language, which is an alternative of regular expression language,
  • and Apache Spark for data processing. The analysis of those string literals demonstrated the difficulty of avoiding
  • hard-coding and the security vulnerabilities brought in by hard-coding string literals.

Research Scientist Intern

Jun 2015Aug 2015 · 2 mos · CRL, Beijing, China

  • Explored the unsupervised system metrics segmentation and log differentiation, discovered system actions of significant impacts by combining both change point detection for system metrics and trained log templates logs, and comparing the changes of different templates in each segmentation.

North carolina state university

Research Assistant

May 2013May 2021 · 8 yrs · Raleigh, North Carolina, United States

  • I work on data corruption issues on Hadoop, using detailed information like Performance Counter and file system operations, on security isolation, on regular expression, and on program diagnosis.

Morgan stanley

Summer Analyst Internship

Jul 2012Sep 2012 · 2 mos

  • I designed an analysis graph for dependency relationships in projects with D3.js, jason and Java Management Tools like maven and ivy

Education

North Carolina State University

Doctor of Philosophy - PhD — Computer Science

Xi'an Jiaotong University

Master's degree — Computer Science

Xi'an Jiaotong University

Bachelor's degree — Computer Software Engineering

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