CONTACT

(+1) 408 915 7086

opmiss@gmail

Fremont, CA, USA

job-r3sume.pages.dev

in/weizhuo

INTERESTS

Platform Integrity
Network Security
Distributed System
Machine Learning
Interactive Computing

CODING SKILLS

PythonJavaJavascript
ReactAngularGraphQL
HTMLJavascriptCSS
OpenGLHackC++

EDUCATION

PhD in CS

Georgia Tech

2009 - 2014

BEng in EE and Math

HKUST

2005 - 2008

WEI ZHUO

Software Engineer, Research Scientist

Work Experience

  • Senior Software Engineer | Meta 2022 - 2024
    Consumer Survey Platform (MSE)

    Coordinate between different teams and manage complex requirements for developing a comsumer survey tool for Meta Shop and E-commerce ads that aligns with the business's goals as well as BCP and EC compliance standards.

    PubSub Platform for Integrity Restriction (IAF)

    Frontend Development and API integration for over 4000 integrity events (login captcha, comment post, like, etc.) across various product teams (FB, IG, Whatsapp, etc) with 'Overview First, Details On-demand' design for centralized monitoring, rate limiting, and activating enforcement restrictions. Also work relentlessly to improve test coverage.

  • Mid-Senior Software Engineer | Google 2018 - 2021
    Transfer Learning Ads Classification (Ads Integrity)

    Reuse the policy classification model developed for existing ads formats for newly generated ads formats on synthetic data instead of training a new model from scratch, allowing for faster roll-out of new ads format, especially when training data in the new format is limited.

    Ad Creation Platform Platform (Google Ads)

    Develop and launch a revenue-boosting feature in Google Ads that allows advertiser to automatically create ads from website and social profile scans, resulting in faster and more convenient ads creation process for advertisers and increased ads creation rate directly related to revenue increase. AB testing framework setup and cleanup.

  • Research Scientist | IBM Research 2015 - 2017
    Statistical Dialog Modeling (Watson Health/Dialog)

    Develop ReLi, really light key-value stores with sharding, for indexing, out-of-memory processing and analyzing large-scale comment data from Reddit. This allows mining comment data into conversational dialog organized by topics such as health, politics, cooking, stocks etc.

    Develop the web interface for ReLi with server-side rendering. This allows NLP and linguistic researchers to browse and explore, as well as provides the API to retrieve dialog data within a certain time-range, and/or from a certain topic or author using SQL.

Awards

  • NSF Award for Aquatic Propulsion project, 2009-2013 publication
  • NSF Travel Award for Security Visualization project, 2012 publication
  • NSF Travel Award for Spatial Science project, 2011 publication
  • HKUST Research Award for Visualization projects, 2008
  • National Award in high-school Physics competition, China, 2004