workday > workday Employee Directory > Peter Huang
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Peter Huang
P3 Software Engineer
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Location: San Francisco Bay AreaApprox. Years of Experience: 5
Peter Huang's Current Workplace
Workday
Company Size
2500+
Amount Raised
$230.6M
Workday is a leading provider of enterprise cloud applications for finance, HR, and planning. Founded in 2005, Workday delivers financial management, human capital management, and analytics applications designed for the world’s largest companies, educational institutions, and government agencies. Organizations ranging from medium-sized businesses to Fortune 50 enterprises have selected Workday.
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Notable Investors
Greylock, T. Rowe Price, Kalaari Capital, Morgan Stanley, New Enterprise Associates
SaaS
Human Resources
Cloud Computing
Enterprise Software
Enterprise Applications
Experience
P3 Software Engineer
Workday · Full-time
Aug 2021 - Present
3 yrs 9 mos
Prism Analytics Query Engine --> Office Connect Financial Reporting Engine
Graduate Teaching Assistant (CS 252)
Purdue University
Aug 2020 - May 2021
10 mos
Software Development Engineering Intern
Amazon
Jun 2020 - Aug 2020
3 mos
Lab126 Audio Technology - Created unit tests to ensure consistent and correct behaviour of critical newly implemented functions - Reimplemented parts of code base to utilize new hardware intrinsics and improved performance - Wrote scripts to determine memory usage of embedded audio devices
Undergraduate Teaching Assistant (CS 252)
Purdue University
Jan 2020 - May 2020
5 mos
Teaching assistant for Purdue's System Programming class - Assist current students with labs and any questions they have - Develop and maintain automated grading system and statistics tracking systems for class
Undergraduate Researcher
Purdue CAM2 Research Group
Aug 2018 - Dec 2019
1 yr 5 mos
Human Behaviour Team: - Developed a system for landscapers to track and visualize pedestrian pathing through an open area so they can use data to create more human friendly landscapes - Utilized SlowFast action classification neural network to classify actions of individual pedestrians Parallel Performance Team (Object Detection): - Working on methods to analyze video data in real time across a network of publicly available cameras - Utilized open source Python wrapper of libjpeg-turbo to optimize image loading and saving between hard drive and YOLO v2 neural network - Analyzing and generating metrics for consistency of object detector networks
Education
  • 2019 - 2021
    Purdue UniversityMaster's degree, Computer Science
  • 2016 - 2020
    Purdue UniversityBachelor's degree, Computer Science - Machine Intelligence Track
  • 2012 - 2016
    Mission San Jose High School