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进阶搜寻
On
4 到 6 年
6 到 10 年
10 到 15 年
15 年以上
Taipei, Taiwan
Avatar of 陳旻琳.
Avatar of 陳旻琳.
資深程式設計師 @緯創軟體股份有限公司
2022 ~ 现在
程式設計師
一個月內
Developed tools for team to improve efficiency of development routine. Side Project Frontend Development • Ministry of Health and Welfare Added charts in cell therapy website of MOHW using jQuery. JunAugFrontend Development • Cambrian Soft Ltd. Developed CMS system for Someday Group using Vue 3. JanFebEducationUniversity of Taipei Computer Science Social Network Application Competition with NCCU, 2015, First place Outeaters - share your favorite meal: Built the project with team using Django framework. Graduate Presentation, 2016, Fifth place uOrder - Campus restaurant ordering system: Developed website by using Django framework and mobile app using Ionic (hybrid app framework).
JavaScript
JavaScript / ES6 / jQuery
HTML/CSS
全职 / 对远端工作有兴趣
6 到 10 年
台北市立大學
資訊科學

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职场能力评价定义

专业技能
该领域中具备哪些专业能力(例如熟悉 SEO 操作,且会使用相关工具)。
问题解决能力
能洞察、分析问题,并拟定方案有效解决问题。
变通能力
遇到突发事件能冷静应对,并随时调整专案、客户、技术的相对优先序。
沟通能力
有效传达个人想法,且愿意倾听他人意见并给予反馈。
时间管理能力
了解工作项目的优先顺序,有效运用时间,准时完成工作内容。
团队合作能力
具有向心力与团队责任感,愿意倾听他人意见并主动沟通协调。
领导力
专注于团队发展,有效引领团队采取行动,达成共同目标。
一年內
Logo of 博晶醫電股份有限公司.
博晶醫電股份有限公司
2023 ~ 2023
专业背景
目前状态
待业中
求职阶段
专业
软体工程师, 韧体工程师, 机器学习工程师
产业
人工智能 / 机器学习, 软件
工作年资
小於 1 年
管理经历
技能
Python
C++
Verilog
C
PyTorch
Machine Learning
Linux
Git
Deep Learning
Django
语言能力
English
中阶
求职偏好
希望获得的职位
Firmware Engineer, Software Engineer, AI Engineer
预期工作模式
全职
期望的工作地点
台灣台北, 台灣新北市, 台灣桃園
远端工作意愿
对远端工作有兴趣
接案服务
学历
学校
國立台灣大學
主修科系
生物機電所
列印

劉又瑋 YU-WEI LIU

Phone : 0952020607

Email : [email protected]

兵役 : 役畢 (2020.7)

Education  

National Central University, Electrical Engineering(2015.09 ~ 2019.07)

National Taiwan University, Biomechatronics Engineering (2020.09 ~ 2022.09)

Skill

Programming

  • Python
  • C
  • C ++
  • Verilog

Machine learning

  • Pytorch
  • Tensorflow
  • Keras

Backend and Database

  • Django
  • MySQL

Others

  • Git
  • Linux

Correlated curriculum 

Machine Learning, Deep Learning for Computer Vision, Data Structure and Algorithm, Operation System

Computer Organization, Digital Systems Design, Digital Signal processor

Digital Image Processing, Bioinformatics Algorithms, Biomedical Data Mining,

Work experience

Algorithm Engineer  •  Gomore

Feb 2023 - Jul 2023

  • Analyzing physiological signals(PPG) and implement physiological algorithms.
  • Using C language to implement to wearable devices.
  • Validation the modules in the group.

Database and Backend Engineer PT •  MISSMI INTELLIGENCE

Sep 2021 - Jan 2022

  • Bioinformatics data integration and presentation
  • Backend API developm to APP


Teaching Assistant •  National Taiwan University

Feb 2021 - Jul 2021

  • Electronics and Laboratory 
    • Integrate course information
    • Design electronic experiments, using oscilloscopes, power supplies, signal generators and Pspice to simulate various circuits
    • Homework problem solving, following class to solve classmates' problems

July 2021 - Sep 2021

  • Bioinformatics algorithm
    • Designed assignments related to bioinformatics information.
    • Integrate course information
    • Assist in classroom report submission content evaluation

:Thesis title:Using deep learning to predict T-cell receptors binding specificity

  • Using the Transfer learning and ProBert protein language model to predict pMHI-I binding of T-cell receptor.
  • Compared to existing paper, we have higher accuracy and faster inference.

Project Experience 

Python, Pytorch

Skull fracture detection ( Faster R-CNN ):

  • This project works with Inventec in Deep Learning for Computer Vision
  • Train a neural network to detect whether the patient has skull fractures and where they are by utilizing data annotated by physicians.
  • We used Faster R-CNN to implement object detection to predict where they are by utilizing data annotated by physicians.

Python, Django

Costco notice of goods

  • Design a crawler to notify the customer when the item in stock.
  • Using Django to build a Linebot


Web backend API Design 

Verilog

  • Single Cycle implementation


Other Projects

C++

  • Greedy snake design 

Verilog

  • Gobang in FPGA 
  • Single Cycle implementation

Python

  • Data structure algorithm implementation 
  • Image processing implementation

Pytorch

  • Image Classification ( CNN, Semi-Supervised learning, Self-Supervised learning, VIT, ACGAN )
  • Sequence to Sequence( Transformer, BERT )
  • Semantic segmentation ( FCN, U-net)
  • Face and Digit Generation ( SC-GAN)
  • Lunar Lander Game ( Reinforcement Learning )
  • Skull fracture detection ( Faster R-CNN )

Django

  • Web backend API Design 
  • Costco notice of goods

Linux

  • Simple shell script design and server administration 
简历
个人档案

劉又瑋 YU-WEI LIU

Phone : 0952020607

Email : [email protected]

兵役 : 役畢 (2020.7)

Education  

National Central University, Electrical Engineering(2015.09 ~ 2019.07)

National Taiwan University, Biomechatronics Engineering (2020.09 ~ 2022.09)

Skill

Programming

  • Python
  • C
  • C ++
  • Verilog

Machine learning

  • Pytorch
  • Tensorflow
  • Keras

Backend and Database

  • Django
  • MySQL

Others

  • Git
  • Linux

Correlated curriculum 

Machine Learning, Deep Learning for Computer Vision, Data Structure and Algorithm, Operation System

Computer Organization, Digital Systems Design, Digital Signal processor

Digital Image Processing, Bioinformatics Algorithms, Biomedical Data Mining,

Work experience

Algorithm Engineer  •  Gomore

Feb 2023 - Jul 2023

  • Analyzing physiological signals(PPG) and implement physiological algorithms.
  • Using C language to implement to wearable devices.
  • Validation the modules in the group.

Database and Backend Engineer PT •  MISSMI INTELLIGENCE

Sep 2021 - Jan 2022

  • Bioinformatics data integration and presentation
  • Backend API developm to APP


Teaching Assistant •  National Taiwan University

Feb 2021 - Jul 2021

  • Electronics and Laboratory 
    • Integrate course information
    • Design electronic experiments, using oscilloscopes, power supplies, signal generators and Pspice to simulate various circuits
    • Homework problem solving, following class to solve classmates' problems

July 2021 - Sep 2021

  • Bioinformatics algorithm
    • Designed assignments related to bioinformatics information.
    • Integrate course information
    • Assist in classroom report submission content evaluation

:Thesis title:Using deep learning to predict T-cell receptors binding specificity

  • Using the Transfer learning and ProBert protein language model to predict pMHI-I binding of T-cell receptor.
  • Compared to existing paper, we have higher accuracy and faster inference.

Project Experience 

Python, Pytorch

Skull fracture detection ( Faster R-CNN ):

  • This project works with Inventec in Deep Learning for Computer Vision
  • Train a neural network to detect whether the patient has skull fractures and where they are by utilizing data annotated by physicians.
  • We used Faster R-CNN to implement object detection to predict where they are by utilizing data annotated by physicians.

Python, Django

Costco notice of goods

  • Design a crawler to notify the customer when the item in stock.
  • Using Django to build a Linebot


Web backend API Design 

Verilog

  • Single Cycle implementation


Other Projects

C++

  • Greedy snake design 

Verilog

  • Gobang in FPGA 
  • Single Cycle implementation

Python

  • Data structure algorithm implementation 
  • Image processing implementation

Pytorch

  • Image Classification ( CNN, Semi-Supervised learning, Self-Supervised learning, VIT, ACGAN )
  • Sequence to Sequence( Transformer, BERT )
  • Semantic segmentation ( FCN, U-net)
  • Face and Digit Generation ( SC-GAN)
  • Lunar Lander Game ( Reinforcement Learning )
  • Skull fracture detection ( Faster R-CNN )

Django

  • Web backend API Design 
  • Costco notice of goods

Linux

  • Simple shell script design and server administration