doordash > doordash Employee Directory > Feizhou Peng
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Feizhou Peng's Personal Email and Phone Number
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Feizhou Peng
Staff Software Engineer, Machine Learning
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Location: San Francisco Bay AreaApprox. Years of Experience: 9
Feizhou Peng's Current Workplace
DoorDash
Company Size
2500+
Amount Raised
$2.5B
At DoorDash, our mission to empower local economies shapes how our team members move quickly and always learn and reiterate to support merchants, Dashers and the communities we serve. We are a technology and logistics company that started with door-to-door delivery, and we are looking for team members who can help us go from a company that is known for delivering food to a company that people turn to for any and all goods. \n\nDoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. Our leaders seek the truth and welcome big, hairy, audacious questions. We are grounded in our company values, and we make intentional decisions that are both logical and display empathy for our range of users—from Dashers to Merchants to Customers.
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Notable Investors
Sequoia Capital, Temasek Holdings, Y Combinator, Fidelity, Wellcome Trust
Delivery
Food Delivery
Delivery Service
Same Day Delivery
Last Mile Transportation
Experience
DoorDash
Sep 2022 - Present
Staff Software Engineer, Machine Learning
Apr 2024 - Present
1 yr 2 mos
TL AI/LLM applications & platforms in support automation areas.
Staff Software Engineer
Sep 2022 - Apr 2024
1 yr 8 mos
TL/M New Verticals product serving(online, offline, streaming) platform. TL Product Knowledge Graph Serving.
Technical Lead
Instacart · Full-time
Jun 2021 - Sep 2022
1 yr 4 mos
Team lead for display ads optimization
Senior Software Engineer
Google
Apr 2018 - Jun 2021
3 yrs 3 mos
Tech Lead and Key Contributor for various of Google Nest IoT backend infrastructure projects.
Software Engineer
Airbnb
Nov 2017 - Apr 2018
6 mos
China infrastructure team — Secondary data center infrastructure/data pipeline setup and maintenance, offline jobs data collection to support fraud defense.
Software Development Engineer
Amazon Web Services
Aug 2016 - Oct 2017
1 yr 3 mos
Elastic Load Balancer -- Scalability team. Maintain and improve existing Scaling related systems for ELB/ALB, which monitor on millions of load balancers and make real time decision to either add or remove capacity from the group based on the usage on the nodes. Developed stream data partitioning and aggregation services for NLB usage metrics and billing related data pipeline.
Graduate Teaching Assistant
Cornell University
Jan 2016 - May 2016
5 mos
TA for two graduate level courses: CS 5300, the Architecture for Large Scale Information System. INFO 5100, Data Analytics for Webs.
Education
  • 2015 - 2016
    Cornell UniversityMaster’s Degree, Computer and Information Sciences, General
  • Dates unavailable
    Dalian University of TechnologyComputer Software Engineering