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國立台灣大學
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Algorithm Research & Development @適着三維科技股份有限公司 TG3D Studio Inc.
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國立台灣大學
生物產業機電工程所
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國立台灣大學
機械工程
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Principal Engineer @Coretronic Corporation, 中強光電
2020 ~ 2022
Machine Learning Engineer
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. Large-Language-Model(LLM): Hands-on experiences on building GPT-powered machine learning/AI system, which is capable of handling hundreds of note processing within 2 mins. Principal Engineer , Coretronic Corporation., NovemberJuly 2022 Robotic development with Python and C/C++ Deep-learning based algorithm for robotic grasping Robotic Hand-Eye calibration, reach less than 5 mm projection error on Realsense L515 LiDAR camera with ordinary tripod Augmented Reality: design and implement algorithm for camera pose estimation, significantly improve the tracking performance by boosting the detection distance from less than 30cm to over 1m
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物理研究所
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and Implement the role based control for enterprises. – Build all your service within Docker. 訊連科技股份有限公司, 軟體工程師, Oct 2014 ~ Aug 2017 Software Engineer - Magic Team (Junior and Senior) • Implement virtual makeup effects on mobile phone — development algorithm engine using C++ – Design virtual makeup effects using image processing algorithms, such as contrast enhancement, Gaus-sian smoothing, different color blending strategy, etc. – Optimize the process using multi-threads and SIMD (NEON) on mobile device. • Rendering virtual makeup effects on views using OpenGL and WebGL
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國立台灣大學
資訊工程學系
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國立台灣大學
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國立台灣大學
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Print

吳柏寬

Image processing engineer

AI data engineer 

My name is Tom Wu, (Bo Kuan, Wu). I graduated from the Institute of Medical Engineering, NTU with biological skills and image analysis. Gained cooperation and leadership experience at college club activities as club vice coordinator. I am aggressive in learning and progress. Currently seeking a position as an Image processing engineer, AI data engineer.

Taipei, TW

Email: [email protected]

Education

National Taiwan University

Sep 2018 – Dec 2020

Institute of Medical Engineering

Sun Yat-sen University

Sep 2013 – Jun 2018

Department of Biological Sciences

Special experiments

Master student  •  Tissue engineering Lab 

Jun 2018 - Dec 2020

Thesis: Probing structural changes and cell dynamics in hair follicle catagen

Advisor: Prof. Song-Jan, Lin

  • Optimization of the regression hair follicle sample harvest and tissue clearing models in mice.
  • Identify the hair follicle progress during regression by sequencing live image data.
  • Discover that the massive apoptotic events were not the main factor that triggered the hair follicle regression. 

Operated the microscope system & image processing software

Jun 2018 - Dec 2020 

  • Proficient in operating the confocal and two-photon microscopes 
  • Accelerated image processing by learning the automatic scripts in FIJI, image processing software.
  • Visualization and 3D reconstruction of the sequence image data through Avizo, Imaris software. 

Programed imaging analysis projects

Jan 2019 - Dec 2020 

  • Implementation of the auto-segment project on ultrasound image processing by MATLAB.
  • Development of an auto-segment project on ultrasound images by the U-net deep learning project.

Course assistant  • Museum Service Learning

Sep 2015 - Jan 2017

  • Management of the learning progress with the museum.
  • Establishment of the learning environment and solving the shortage of volunteers by organizing the museum and students.

Club Vice Coordinator  •  Forever Young Club

Sep 2013 - Jun 2017

  • Organization of service camps in summer and winter vacation with local elementary schools.
  • Realization of the value of teamwork and tolerance while holding events.
  • Initialize the club tour to promote the relationship with the club members.

Skills Languages

Office software 

  • Word
  • PowerPoint
  • Excel
  • EndNote X9
  • Illustrator
  • Power Director

Biological skills 

  • PCR
  • DNA gel electrophoresis
  • Western blot
  • IF, IHC staining
    (Immunostaining)

Languages

  • Chinese
  • English
  • Japanese(JEPT N3)

Self-learning


  • Python, MATLAB
  • Leetcode
  • MCU, Raspberry pi
  • Deep learning(CNN, Yolo, VGG, ResNet models)
  • Computer assembly

Relevant Course


  • Medical image analysis related
  • Calculus, Statistics
  • Biotechnology patent
  • Biological Sciences related 
    • Human Anatomy, Physiology, BiochemistryMolecular Biology, Cell Biology, Organic Chemistry, Immunology, Ecology
  • Skin Development and Regeneration
Resume
Profile

吳柏寬

Image processing engineer

AI data engineer 

My name is Tom Wu, (Bo Kuan, Wu). I graduated from the Institute of Medical Engineering, NTU with biological skills and image analysis. Gained cooperation and leadership experience at college club activities as club vice coordinator. I am aggressive in learning and progress. Currently seeking a position as an Image processing engineer, AI data engineer.

Taipei, TW

Email: [email protected]

Education

National Taiwan University

Sep 2018 – Dec 2020

Institute of Medical Engineering

Sun Yat-sen University

Sep 2013 – Jun 2018

Department of Biological Sciences

Special experiments

Master student  •  Tissue engineering Lab 

Jun 2018 - Dec 2020

Thesis: Probing structural changes and cell dynamics in hair follicle catagen

Advisor: Prof. Song-Jan, Lin

  • Optimization of the regression hair follicle sample harvest and tissue clearing models in mice.
  • Identify the hair follicle progress during regression by sequencing live image data.
  • Discover that the massive apoptotic events were not the main factor that triggered the hair follicle regression. 

Operated the microscope system & image processing software

Jun 2018 - Dec 2020 

  • Proficient in operating the confocal and two-photon microscopes 
  • Accelerated image processing by learning the automatic scripts in FIJI, image processing software.
  • Visualization and 3D reconstruction of the sequence image data through Avizo, Imaris software. 

Programed imaging analysis projects

Jan 2019 - Dec 2020 

  • Implementation of the auto-segment project on ultrasound image processing by MATLAB.
  • Development of an auto-segment project on ultrasound images by the U-net deep learning project.

Course assistant  • Museum Service Learning

Sep 2015 - Jan 2017

  • Management of the learning progress with the museum.
  • Establishment of the learning environment and solving the shortage of volunteers by organizing the museum and students.

Club Vice Coordinator  •  Forever Young Club

Sep 2013 - Jun 2017

  • Organization of service camps in summer and winter vacation with local elementary schools.
  • Realization of the value of teamwork and tolerance while holding events.
  • Initialize the club tour to promote the relationship with the club members.

Skills Languages

Office software 

  • Word
  • PowerPoint
  • Excel
  • EndNote X9
  • Illustrator
  • Power Director

Biological skills 

  • PCR
  • DNA gel electrophoresis
  • Western blot
  • IF, IHC staining
    (Immunostaining)

Languages

  • Chinese
  • English
  • Japanese(JEPT N3)

Self-learning


  • Python, MATLAB
  • Leetcode
  • MCU, Raspberry pi
  • Deep learning(CNN, Yolo, VGG, ResNet models)
  • Computer assembly

Relevant Course


  • Medical image analysis related
  • Calculus, Statistics
  • Biotechnology patent
  • Biological Sciences related 
    • Human Anatomy, Physiology, BiochemistryMolecular Biology, Cell Biology, Organic Chemistry, Immunology, Ecology
  • Skin Development and Regeneration