Software Engineer at Facebook
San Francisco Bay Area
Machine Learning Engineer @ Facebook - Engineering lead on the team building Facebook's automated machine learning infrastructure. We build infrastructure to support hundreds of internal use cases at millions of QPS, along with an automated ML solution to simplify feature engineering, model selection, and hyperparameter tuning.- Lead author on a paper about our work with predictive precompute,...
Machine Learning Engineer @ Facebook - Engineering lead on the team building Facebook's automated machine learning infrastructure. We build infrastructure to support hundreds of internal use cases at millions of QPS, along with an automated ML solution to simplify feature engineering, model selection, and hyperparameter tuning.- Lead author on a paper about our work with predictive precompute, accepted at MLSys 2020 (https://mlsys.org/) Software Engineer @ Facebook Nuclide (Jan 2016 - Dec 2018)- Core team member on Facebook's open-source IDE, Nuclide (http://nuclide.io/)- Collaborated with GitHub to launch Atom IDE: https://ide.atom.io/- Created a lightning-fast C++ fuzzy filename search engine: https://github.com/atom/fuzzy-nativeSource Code Indexing (May 2015 - Dec 2015):Building and maintaining internal infrastructure to make it easier to work with our massive codebases, including:- A dynamically-updated index of all symbols in our PHP and C++ codebases and their relationships, e.g. function calls and class hierarchies- A distributed in-memory search service for all of Facebook source codeCulture Infrastructure (January 2014 - April 2015):I helped design and build various internal tools from scratch to improve the work environment for Facebook employees, including:- An educational courses marketplace for classes taught by employees, for employees. Used by all new hires at Facebook currently during onboarding and beyond.- A searchable code documentation browser for all of Facebook's major codebases.- An internal "trending" product to surface high-engagement company discussions and posts. From January 2014 to January 2018 (4 years 1 month) Menlo Park, CACo-founder @ SciGit - Developed various web applications using a combination of PHP, AngularJS, and Ruby on Rails- Created the backend for a full-featured git repository manager with users & permissions- Created SciGit client application in C#- Developed a limited .docx to HTML parser, with support for viewing the difference of two documents From June 2012 to December 2013 (1 year 7 months) Waterloo, ONUndergraduate Research Assistant @ University of Waterloo Worked with Levent Tunçel and Bertrand Guenin in the Department of Combinatorics & Optimization on the subject of maximal lattice-free simplices From May 2012 to August 2012 (4 months) Waterloo, ONSoftware Engineering Intern @ Google - Member of the AdWords budget server team- Improved server architecture by reducing the number of active redundant budget servers From May 2011 to August 2011 (4 months) Software Engineering Intern @ Facebook - Member of the MySQL database engineering team- Improved query profiling tools designed for developers to improve query efficiency- Designed a tool for developers to compare the runtimes of different queries across actual data sets From May 2010 to August 2010 (4 months)
Machine Learning Engineer
Software Engineer
January 2014 to January 2018
Menlo Park, CA
SciGit
Co-founder
June 2012 to December 2013
Waterloo, ON
University of Waterloo
Undergraduate Research Assistant
May 2012 to August 2012
Waterloo, ON
Software Engineering Intern
May 2011 to August 2011
Software Engineering Intern
May 2010 to August 2010
- Engineering lead on the team building Facebook's automated machine learning infrastructure. We build infrastructure to support hundreds of internal use cases at millions of QPS, along with an automated ML solution to simplify feature engineering, model selection, and hyperparameter tuning.- Lead author on a paper about our work with predictive precompute, accepted at MLSys 2020 (https://mlsys.org/) - Engineering lead on the team building Facebook's automated machine learning infrastructure. We build infrastructure to support hundreds of internal use cases at millions of QPS, along with an automated ML solution to simplify feature engineering, model selection, and hyperparameter tuning.- Lead author on a paper about our work with predictive precompute, accepted at MLSys 2020 (https://mlsys.org/)
What company does Hanson Wang work for?
Hanson Wang works for Facebook
What is Hanson Wang's role at Facebook?
Hanson Wang is Machine Learning Engineer
What industry does Hanson Wang work in?
Hanson Wang works in the Computer Software industry.
Who are Hanson Wang's colleagues?
Hanson Wang's colleagues are Anni Tankhiwale, Kisson Lin, Tomoko Nagamatsu, Sarah Bennison, Lisa Meiling, JOSHUA KOH, Varia Bortsova, Luke Partridge, Henry Shuyong, and Tanvi Sharma
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