Qing Ye

Qing Ye Email and Phone Number

Machine Learning Engineer@Meta | ex-Google | M.S. in CS @UIUC @ Meta
Qing Ye's Location
Bellevue, Washington, United States, United States
Qing Ye's Contact Details
About Qing Ye

Qing Ye is a Machine Learning Engineer@Meta | ex-Google | M.S. in CS @UIUC at Meta. They possess expertise in scientific computing, python, c++, linux, latex and 33 more skills.

Qing Ye's Current Company Details
Meta

Meta

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Machine Learning Engineer@Meta | ex-Google | M.S. in CS @UIUC
Qing Ye Work Experience Details
  • Meta
    Machine Learning Engineer
    Meta Oct 2024 - Present
    Menlo Park, Ca, Us
  • Google
    Software Engineer
    Google Jun 2019 - Sep 2024
    Mountain View, Ca, Us
    May 2023 - Present: Cloud AI Platform* Implemented ReAct based reasoning & tool use serving infrastructure for Cloud Vertex* Implemented embedding based retrieval infrastructureJuly 2019 - May 2023: Indexing Infrastructure* Design, implemented, and owned the computing resource management framework for the indexing clusters* Materialized computation resource savings through automated quota reclamation* Achieved storage system savings through deletion cache
  • University Of Illinois At Urbana-Champaign
    Teaching Assistant
    University Of Illinois At Urbana-Champaign Aug 2016 - May 2019
    Champaign, Il, Us
    - 2 years of experience in teaching Software Engineering- Lead students in software development iteration meetings; performed code review and provided feedbacks
  • University Of Illinois At Urbana-Champaign
    Graduate Research Assistant
    University Of Illinois At Urbana-Champaign Aug 2016 - May 2019
    Champaign, Il, Us
    - Design and implement a caching system based on reinforcement learning to improve hit-rate using Keras and OpenAI Gym- Designed novel protein contact selection algorithm based on non-linear programming to improve protein structure prediction- Pre-processed data for a deep convolutional neural network predicting protein contacts; the work is published on Cell Systems- Collaborated to build a deep neural network for embedding protein structures; the work is published by Bioinformatics
  • Google
    Software Engineer Intern
    Google May 2017 - Aug 2017
    Mountain View, Ca, Us
    - Implemented multi-lingual address annotator for mobile devices with machine learning techniques using tensorflow and C++; trained and validated the annotator using map-reduce- Added various localization supports for a rule-based time and time-span annotator in GMSCore written in C++
  • Google
    Software Engineering Intern
    Google May 2016 - Aug 2016
    Mountain View, Ca, Us
    - Migrated a Google open-source project to implement a phone number annotator in C++ for the Google Mobile Services core library- Designed a web-app for manual inspection of the annotation result; assessed accuracy and performance of the annotator with machine-generated and hand-curated data
  • Tesla
    Intern
    Tesla May 2015 - Aug 2015
    Austin, Texas, Us
    - Migrated an out-dated Ruby-on-Rails application to a modern configuration; communicate with the users and implemented new features for the application- Collaborated to set-up a data-pipeline from automated test equipment to a MySQL database and an HDFS key-value store on AWS}-
  • University Of Illinois At Urbana-Champaign
    Undergraduate Researcher, Rienstra Group
    University Of Illinois At Urbana-Champaign May 2013 - May 2014
    Champaign, Il, Us
    - Maintained an outdated NMR analysis software (Sparky) to fix bugs and add new features- Integrated and optimized a software package (COMPASS) written in python and C to perform scientific calculations in protein structure determination- Maintained and documentations for the package on a MediaWiki server- Collected and analyzed data from COMPASS and composed the results using matplotlib and Adobe Illustrator
  • University Of Illinois At Urbana-Champaign
    Undergraduate Lab Assistant, Giannetta Group
    University Of Illinois At Urbana-Champaign May 2013 - Aug 2013
    Champaign, Il, Us
    - Developed a LabView application to operate a signal averager through a GPIB bus- Designed, patterned and etched printed circuit board with micrometer precision by the positive photo process- Monitored NMR experiments, refilled the NMR magnet with liquid nitrogen and compiled documentations for lab activities

Qing Ye Skills

Scientific Computing Python C++ Linux Latex Mediawiki Vim Bash Blender Opengl Optics Electrodynamics Partial Differential Equations Java C Android Development Software Engineering Ruby On Rails Html Matlab Regular Expressions Latte Art Deep Learning Machine Learning Research Sql Javascript Data Analysis Bioinformatics Structural Bioinformatics Networking Algorithms Mysql Statistics Microsoft Excel R Microsoft Word Powerpoint

Qing Ye Education Details

  • University Of Illinois Urbana-Champaign
    University Of Illinois Urbana-Champaign
    Computer Science
  • University Of Illinois Urbana-Champaign
    University Of Illinois Urbana-Champaign
    B.S. Engineering Physics

Frequently Asked Questions about Qing Ye

What company does Qing Ye work for?

Qing Ye works for Meta

What is Qing Ye's role at the current company?

Qing Ye's current role is Machine Learning Engineer@Meta | ex-Google | M.S. in CS @UIUC.

What is Qing Ye's email address?

Qing Ye's email address is qi****@****ois.edu

What schools did Qing Ye attend?

Qing Ye attended University Of Illinois Urbana-Champaign, University Of Illinois Urbana-Champaign.

What are some of Qing Ye's interests?

Qing Ye has interest in Bakery, Flute, Researches, New Technologies, Digital Photography.

What skills is Qing Ye known for?

Qing Ye has skills like Scientific Computing, Python, C++, Linux, Latex, Mediawiki, Vim, Bash, Blender, Opengl, Optics, Electrodynamics.

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