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Harry Su
高級軟體工程師
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Harry Su

高級軟體工程師
Dell Tech
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Dell Technologies
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University of Bristol
Taiwan

Professional Background

  • 現在の状況
    就職中
  • Profession
    Data Scientist
    Machine Learning Engineer
    Software Engineer
  • Fields
    人工知能/機械学習
    Saas/クラウドサービス
    ソフトウェア
  • 職務経験
    1〜2年 (1〜2年関連の実務経験)
  • Management
    I've had experience in managing 1-5 people
  • Skills
    Mechanical Engineering
    Deep learning with TensorFlow
    Computer Vision
    Machine Learning Algorithms
    Machine Learning with stats models and scikit-learn
    Python
    CNN
  • Languages
    Chinese
    ネイティブまたはバイリンガル
    English
    ビジネスレベル
    Japanese
    初心者
  • Highest level of education
    Master

Job search preferences

  • Desired job type
    フルタイム
    リモートワークに興味あり
  • Desired positions
    AI工程師、機器學習工程師、深度學習工程師、資料科學家、Machine Learning Engineer、Deep Learning Engineer、Data Scientist
  • 希望の勤務地
    Taipei, Taiwan
    Hsinchu, Hsinchu City, Taiwan
    United States
    United Kingdom
    Canada
  • Freelance
    非フリーランス

Work Experience

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高級軟體工程師

Dell Technologies
フルタイム
9月 2021 - 現在
• Dell EMC's Vxrail department that cooperate with VMware for Hyper-Converged Infrastructure. • Deliver the cloud-native services of Dell management and orchestration software on Kubernetes. • Enhanced the cloud-native services on Dell hyper-converged infrastructure solution • Developed Cloud Edge Computing, Distributed System and Machine Learning on HCI server.
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軟體工程師

美國應用材料
フルタイム
1月 2021 - 8月 2021
8 mos
Used machine learning and computer vision in on board metrology project to optimize and control process. Cooperated with Applied Material's headquarter lab in USA to develop TSMC 2nm chip. It is estimated to earn 100 million US dollar in 2022. 負責美國矽谷總部2奈米製程相關的項目。此項目是以使用電腦影像視覺加上機械學習以python來預測,並以優化製成流程並減少成本,預計在明年有一億美金的營利。

Education

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Master of Science (MS)
Robotic(AI)
2018 - 2020
3.4/4 GPA
活動・団体
布里斯托機器人研究學會會長
詳細
Thesis topic: Networks and Swarms: The effect communication constraints in swarm robotics Simulation and development of consensus algorithm based on swarm robotics with three valued models Expected to be used on blockchain and distributed system Compare d to bft algorithm (Byzantine Fault Tolerance), it was totally decentralize and increase 150 % speed of convergence time 論文主題: Networks and Swarms: The effect communication constraints in swarm robotics
Engineer’s Degree
工學院
2013 - 2018
3/4 GPA
活動・団体
國立交通大學系網球隊長
詳細
交大土木結構所專題 使用數值分析等配合有限元分析來分析不同應力作用下隧道的應變與結構變化