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Avatar of 高碩輿.
高碩輿
Tech Consultant @ Hewlett Packard Enterprise
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高碩輿

Tech Consultant @ Hewlett Packard Enterprise
- Ability to work in a fast-paced environment to set deadlines - Highly organised with a creative flair for project work - Enthusiastic self-starter who contributes well to the team
Hewlett Packard Enterprise
國立交通大學
Taiwan

Professional Background

  • Current status
  • Profession
  • Fields
    Software
  • Work experience
    Less than 1 year (Less than 1 year relevant)
  • Management
    None
  • Skills
    +python
    +javascript
    +java
    PowerPoint
    +php
    +maya
    +illustrator
    +sketchup
  • Highest level of education
    Master

Job search preferences

  • Desired job type
    Full-time
    ・
    Interested in working remotely
  • Desired positions
    實習
  • Desired work locations
  • Freelance

Work Experience

Tech Consultant

Hewlett Packard Enterprise
May 2021 - Present

DRAM Product Engineer

台灣美光記憶體股份有限公司
Jul 2019 - Sep 2019
・
3 mos
在實習期間，學習硬體、電路圖及記憶體底層知識，實際操作壓⼒、⾼低溫測試機台，量測晶片，分析錯誤及失敗原 因，並開發⾃動化資料處理系統，透過程式解決傳統⼿動資料輸入、輸出的效率⽋佳問題，將原先手動花費4天的時間，縮減至電腦2小時完成，深入了解外商公司的⽂化及管理階層如何有效掌握專案進度 - Operated testing machines to diagnose chips - Developed automated processing system to address low efficient problems - Solve and Analyze fail reasons of chips with RD team

Distance Learning Teacher

國立暨南國際大學
Feb 2017 - Jul 2017
・
6 mos
在偏鄉地區的學童們，由於資源及師資不全，只能透過線上一對一，與我們進行學習

Manufacturing Assembler

達方電子
Jul 2015 - Sep 2015
・
3 mos
到工廠內進行組裝包膜，腳踏車、燈泡、線路、手機殼...，了解公司的文化

Education

國立交通大學

Master’s Degree
・
資訊管理
2018 - 2020
Activities and societies
- TA: Approaching the Chinese National Treasures - Thesis: Immersive Display System of National Palace Museum - Relevant Courses: Metaheuristic Computing, Data Mining, Intelligence-Oriented Management Decision Systems, Smart Living and Innovative Design

國立暨南國際大學

Bachelor’s Degree
・
資訊管理
2014 - 2018
Activities and societies
Pop Dance Club (Equipment Manager) Students' Association (Member) Guitar Club (Member) Table Tennis Team (Member) Basketball Team (Member) Relevant Courses: Data Structure, Raspberry Pi system, System analysis and design