arista-networks-inc > arista-networks-inc Employee Directory > Peiqi Wu
peiqi-wu-437890152
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Peiqi Wu
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Peiqi Wu's Current Workplace
Arista NetworksCompany 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.\n\n\n\nAdditional information and resources can be found at: \nwww.arista.com\nwww.twitter.com/aristanetworks\nwww.facebook.com/AristaNW\nwww.youtube.com/user/AristaNetworks
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Notable Investors
Accel, Greylock, Khosla Ventures, Singtel Innov8, Summit Partners
Analytics
Data Center
Cloud Computing
Network Hardware
IT Infrastructure
Communications Infrastructure
Experience
Arista Networks
Jun 2019 - May 2023
Software Engineer
Aug 2020 - May 2023
• 2 years 10 monthsI 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 monthsI 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 - 2024Carnegie Mellon UniversityMaster of Science - MS Information Networking
- 2016 - 2020University of California, Los AngelesBachelor of Science - BS Computer Science
- 2016 - 2020University of California, Los AngelesBachelor of Science - BS Materials Chemistry