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台北市立大學
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Taipei, Taiwan
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程式設計師
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好市多股份有限公司
緯創軟體股份有限公司
雄獅資訊股份有限公司
Interesado en trabajar a distancia
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De 4 a 6 años
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Taipei, Taiwan
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Avatar of 陳旻琳.
Avatar of 陳旻琳.
陳旻琳
資深程式設計師 @緯創軟體股份有限公司
・
2022 ~ Presente
程式設計師
En un mes
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
A tiempo completo / Interesado en trabajar a distancia
6-10 años
台北市立大學
・
資訊科學

El plan de reclutamiento más ligero y eficaz

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UI designer -UX
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Technical Skills
Specialized knowledge and expertise within the profession (e.g. familiar with SEO and use of related tools).
Problem-Solving
Ability to identify, analyze, and prepare solutions to problems.
Adaptability
Ability to navigate unexpected situations; and keep up with shifting priorities, projects, clients, and technology.
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Leadership
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En un año
Avatar of 劉又瑋.
劉又瑋
Logo of 博晶醫電股份有限公司.
博晶醫電股份有限公司
・
2023 ~ 2023
Professional Background
Situación actual
Desempleado
Progreso en la búsqueda de empleo
Professions
Software Engineer, Firmware Engineering, Machine Learning Engineer
Fields of Employment
Inteligencia Artificial / Aprendizaje Automático, Software
Experiencia laboral
Menos de 1 año
Management
Ninguno
Habilidades
Python
C++
Verilog
C
PyTorch
Machine Learning
Linux
Git
Deep Learning
Django
Idiomas
English
・
Intermedio
Job search preferences
Posición
Firmware Engineer, Software Engineer, AI Engineer
Tipo de trabajo
A tiempo completo
Ubicación
台灣台北, 台灣新北市, 台灣桃園
A distancia
Interesado en trabajar a distancia
Freelance
Educación
Escuela
國立台灣大學
Mayor
生物機電所
Imprimir

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 
Resume
Perfil
Imprimir

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