arista-networks-inc > arista-networks-inc Employee Directory > Peiqi Wu
peiqi-wu-437890152
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Peiqi Wu
Software Engineer
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Location: Pittsburgh, Pennsylvania, United StatesApprox. Years of Experience: 3
Peiqi Wu's Current Workplace
Arista Networks
Company Size
2500+
Amount Raised
$7.4M
Arista Networks is an industry leader in data-driven, client to cloud networking for large data center, campus and routing environments. Arista’s award-winning platforms deliver availability, agility, automation, analytics and security through an advanced network operating stack. For more information, visit https://www.arista.com. Additional information and resources can be found at: www.arista.com www.twitter.com/aristanetworks www.facebook.com/AristaNW www.youtube.com/user/AristaNetworks
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Notable Investors
Accel, Greylock, Khosla Ventures, Singtel Innov8, Summit Partners
Hardware
Software
Big Data
Virtualization
Cloud Computing
Network Hardware
Quantum Computing
Data Center Automation
Information Technology
Experience
Arista Networks
Jun 2019 - May 2023
Software Engineer
Aug 2020 - May 2023
2 years 10 months
I worked as a full time software engineer on the Interprocess Communication Infrastructure Team. • Designed, optimized, and launched infrastructure for event-driven Publish/Subscribe algorithm for an RAM in-memory database. • Devised and launched several new APIs that reduces memory waste and unnecessary streaming notifications for the in-memory database. • Provided reliable and extensive automatic testing framework, triaged relevant product test failures and customer escalations. • Mentored new engineers on the team.
Software Engineer Intern
Jun 2019 - Sep 2019
4 months
I worked as a software engineer intern on the Interprocess Communication Infrastructure Team. • Built a Python debugging tool that connects to in-memory database and fetches real-time statistical snapshot of all past publish/subscribe synchronization events and report failures. • Structured and extended automated product performance benchmark test for in-memory database to prevent event streaming performance degradation.
Undergraduate Researcher
Benjamin Schwartz Lab, UCLA
Sep 2017 - Jan 2019
1 year 5 months
• Implemented Time-Dependent Density Function Theory (TD-DFT) simulation data analysis and linear algebra computation scripts in Python using Numpy, SciPy and Matplotlib. • Co-authored and published paper on The Journal of Physical Chemistry C. • Received UCLA Summer Research Fellowship in 2018
Education
  • 2023 - 2024
    Carnegie Mellon UniversityMaster of Science - MS Information Networking
  • 2016 - 2020
    University of California, Los AngelesBachelor of Science - BS Computer Science
  • 2016 - 2020
    University of California, Los AngelesBachelor of Science - BS Materials Chemistry