Weizi Wang

San Francisco Bay Area Contact Info
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Courses

  • Advanced Cloud Computing (PhD-level)

    15719/18747

  • Computer Networks

    -

  • Data Structure and Algorithm

    -

  • Database Systems

    -

  • Distributed Systems (PhD-level)

    14736

  • Introduction to Computer Systems

    15513

  • Introduction to Machine Learning

    10601

  • Java Programming

    -

  • Operating Systems

    -

  • Pattern Recognition and Statistical Learning Models and Methods

    -

  • Practice of Programming in C&C++

    -

  • Search Engines

    11642

  • Web Software Technology

    -

Projects

  • Data Engineering on the Cloud

    - Developed a distributed ETL program on Spark in AWS to preprocess large-scale data from Common Crawl
    - Optimized the Stochastic Gradient Descent algorithm for distributed Logistic Regression by building inverted lists to exploit the sparsity of training data, supporting scalable training on a dataset with 1 billion parameters

  • A Text-Based Large Scale Search Engine

    -

    - Designed and implemented a search engine based on Lucene with various information retrieval algorithms using Java, supporting efficient search on a corpus of half a million documents from Gov2 dataset
    - Implemented retrieval algorithms including Structured Boolean Retrieval model, BM25, Query Likelihood Model with two-stage smoothing and learning to rank
    - Implemented various accuracy-improvement mechanisms including query expansion, relevance feedback and diversity

  • The Official Android App of PKU BBS

    -

    - Designed the architecture of the Android App and managed the development of the team with 3 members
    - Implemented the key parts of the App including reusable customized UI widgets and user interface effects, rich text editor, instant messaging, multi-layer cache, data persistence layer and key user interfaces

  • An Online Platform for Activity Invitation

    -

    - Led the team of 6 for development, surveyed, analyzed and made decisions of the whole technology stack; utilized Github to manage code version control, knowledge and documents sharing, progress tracing and issues tracing
    - Developed the Android client App for the project including features like instant messaging and multi-layer cache
    - Co-developed the server end using Nginx, HTTPS, uWSGI, Django, RESTful API, MySQL and Redis
    - Perused the code in C++ of an open-source instant…

    - Led the team of 6 for development, surveyed, analyzed and made decisions of the whole technology stack; utilized Github to manage code version control, knowledge and documents sharing, progress tracing and issues tracing
    - Developed the Android client App for the project including features like instant messaging and multi-layer cache
    - Co-developed the server end using Nginx, HTTPS, uWSGI, Django, RESTful API, MySQL and Redis
    - Perused the code in C++ of an open-source instant messaging server based on Libevent, modified its code to add features like storage persistence, integrated it into the project to support instant messaging with high concurrency

Honors & Awards

  • Oustanding Graduate in Peking University

    Peking University

  • Stars of Tomorrow Award in Microsoft Research Asia

    Microsoft Research Asia

  • May 4th Scholarship in Peking University

    Peking University

  • Merit Student in Peking University

    Peking University

  • Lee Wai Wing Scholarship in Peking University (Top 10%)

    Peking University

  • Leo KoGuan Scholarship in Peking University (Top 1%)

    Peking University

Test Scores

  • GRE

    Score: 162V+170Q

    Verbal: 162 (90%)
    Quantitative: 170 (97%)

  • TOEFL

    Score: 103

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