Xinding Wei

Software Engineer at Axiom
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Contact Information
Location
Sunnyvale, California, United States, US
Languages
  • Chinese Native or bilingual proficiency
  • English Full professional proficiency

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Experience

    • United States
    • Investment Management
    • 1 - 100 Employee
    • Software Engineer
      • Aug 2023 - Present
    • United States
    • Technology, Information and Internet
    • 100 - 200 Employee
    • Software Engineer
      • Mar 2023 - Aug 2023
    • Marketing Services
    • Software Engineer
      • Mar 2021 - Feb 2023

      Crypto Staking Team to hide blockchain complexity from upstream 2C teams. Mostly about Proof of Stake blockchains. Staking Observability - Defined business/system metrics to evaluate staking serviceIs. E.g. validator performance/ validator operations. - Built a generic indexer for staking on-chain data and monitoring solutions. - Built structural processes for oncall/system health checking/knowledge transfer. ETH2 Staking - Developed the accounting system. -… Show more Crypto Staking Team to hide blockchain complexity from upstream 2C teams. Mostly about Proof of Stake blockchains. Staking Observability - Defined business/system metrics to evaluate staking serviceIs. E.g. validator performance/ validator operations. - Built a generic indexer for staking on-chain data and monitoring solutions. - Built structural processes for oncall/system health checking/knowledge transfer. ETH2 Staking - Developed the accounting system. - Designed integration with Wrapped Tokens. Show less Crypto Staking Team to hide blockchain complexity from upstream 2C teams. Mostly about Proof of Stake blockchains. Staking Observability - Defined business/system metrics to evaluate staking serviceIs. E.g. validator performance/ validator operations. - Built a generic indexer for staking on-chain data and monitoring solutions. - Built structural processes for oncall/system health checking/knowledge transfer. ETH2 Staking - Developed the accounting system. -… Show more Crypto Staking Team to hide blockchain complexity from upstream 2C teams. Mostly about Proof of Stake blockchains. Staking Observability - Defined business/system metrics to evaluate staking serviceIs. E.g. validator performance/ validator operations. - Built a generic indexer for staking on-chain data and monitoring solutions. - Built structural processes for oncall/system health checking/knowledge transfer. ETH2 Staking - Developed the accounting system. - Designed integration with Wrapped Tokens. Show less

    • United States
    • Software Development
    • 700 & Above Employee
    • Software Engineer
      • Mar 2019 - Mar 2021

      Gmail Ads Quality - E2E developed Gmail Ads text selection model to improve CTR/CvR. - Built Deep Learning models, integrated with production and ran production experiments. Discovery Ads Quality - Owner of Model Data Infrastructure and all dashboards/alerts of Discovery Ads asset review system. The system enforces Ads quality bar. - Experienced launch and the migration from 100% human review to human/model mixed review. - Pipelines to send human review requests and collect… Show more Gmail Ads Quality - E2E developed Gmail Ads text selection model to improve CTR/CvR. - Built Deep Learning models, integrated with production and ran production experiments. Discovery Ads Quality - Owner of Model Data Infrastructure and all dashboards/alerts of Discovery Ads asset review system. The system enforces Ads quality bar. - Experienced launch and the migration from 100% human review to human/model mixed review. - Pipelines to send human review requests and collect results, dump training data. - Active learning to gather high quality data and denoised mislabeled data. Show less Gmail Ads Quality - E2E developed Gmail Ads text selection model to improve CTR/CvR. - Built Deep Learning models, integrated with production and ran production experiments. Discovery Ads Quality - Owner of Model Data Infrastructure and all dashboards/alerts of Discovery Ads asset review system. The system enforces Ads quality bar. - Experienced launch and the migration from 100% human review to human/model mixed review. - Pipelines to send human review requests and collect… Show more Gmail Ads Quality - E2E developed Gmail Ads text selection model to improve CTR/CvR. - Built Deep Learning models, integrated with production and ran production experiments. Discovery Ads Quality - Owner of Model Data Infrastructure and all dashboards/alerts of Discovery Ads asset review system. The system enforces Ads quality bar. - Experienced launch and the migration from 100% human review to human/model mixed review. - Pipelines to send human review requests and collect results, dump training data. - Active learning to gather high quality data and denoised mislabeled data. Show less

    • IT Services and IT Consulting
    • Software Engineer Intern
      • Aug 2018 - Feb 2019

      Crypto currency arbitrage - Integrated cryptocurrency exchanges with trading system in C++. - Developed a mult-exchange cryptocurrency arbitrage trading signal. - Built alerts for exchange account security on PagerDuty. Crypto currency arbitrage - Integrated cryptocurrency exchanges with trading system in C++. - Developed a mult-exchange cryptocurrency arbitrage trading signal. - Built alerts for exchange account security on PagerDuty.

    • United States
    • Business Consulting and Services
    • 1 - 100 Employee
    • Software Engineer Intern
      • May 2018 - Aug 2018

      Worked in Display Ads Quality Group. Trained image/text selection models to improve Display Ads quality. Worked in Display Ads Quality Group. Trained image/text selection models to improve Display Ads quality.

    • Software Engineer Intern
      • Feb 2017 - Jul 2017

      Prototyped a deep learning model to extract voiceprint. Prototyped a deep learning model to extract voiceprint.

    • United States
    • Higher Education
    • 1 - 100 Employee
    • Research Intern
      • Aug 2016 - Dec 2016

      Designed and implemented high performance data structures and algorithms to accelerate the calculation of statistics during data exploration. About 10 times faster than existing general tools/system(such as Python, R) on our benchmarks. Published the result on SIGMOD 17 and won the most reproducible award. Designed and implemented high performance data structures and algorithms to accelerate the calculation of statistics during data exploration. About 10 times faster than existing general tools/system(such as Python, R) on our benchmarks. Published the result on SIGMOD 17 and won the most reproducible award.

    • Software Engineer Intern
      • May 2015 - Aug 2015

      Developed infrastructure for a quantitative trading platform in C++. Developed infrastructure for a quantitative trading platform in C++.

Education

  • Carnegie Mellon University
    Master of Science - MS, Electrical and Computer Engineering
    2017 - 2018
  • Tsinghua Universtiy
    Bachelor of Engineering, Computer Science & Technology
    2013 - 2017
  • Zhengzhou Foreign Language School
    2010 - 2013

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