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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 ~ Sekarang
程式設計師
Dalam satu bulan
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
Full-time / Tertarik bekerja jarak jauh
6-10 tahun
台北市立大學
資訊科學

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Dalam satu tahun
Logo of 博晶醫電股份有限公司.
博晶醫電股份有限公司
2023 ~ 2023
Latar Belakang Profesional
Status sekarang
Tidak bekerja
Tahap pencarian kerja
Profesi
Software Engineer, Firmware Engineering, Machine Learning Engineer
Bidang Pekerjaan
Intelegensi Artifisial/Pemelajaran Mesin, Software
Pengalaman Kerja
Kurang dari satu tahun
Management
Tidak ada
Keterampilan
Python
C++
Verilog
C
PyTorch
Machine Learning
Linux
Git
Deep Learning
Django
Bahasa
English
Menengah
Preferensi Pencarian Pekerjaan
Jabatan
Firmware Engineer, Software Engineer, AI Engineer
Tipe Pekerjaan
Full-time
Lokasi
台灣台北, 台灣新北市, 台灣桃園
Bekerja jarak jauh
Tertarik bekerja jarak jauh
Freelance
Pendidikan
Institusi Pendidikan
國立台灣大學
Jurusan
生物機電所
Cetak

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 
CV
Profil

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