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De 4 a 6 años
6-10 años
10-15 años
Más de 15 años
National Taiwan University
人工智慧工程師 @玉山銀行智能金融處 (Intelligent Finance Dept., E-SUN Bank )2020 ~ Presente
・
Machine Learning Researcher / Engineer
En un mes
Empleado
A tiempo completo / Interesado en trabajar a distancia
De 4 a 6 años
National Taiwan University
・
Graduate Institute of Communication Engineering
NAND Mechanism RD, Machine Learning Engineer @PHISON2015 ~ Presente
・
Machine Learning Engineer / Data Science Engineer
Más de un año
Kled Chen Assistant Manager (Now) Software Engineer (9 years) Algorithm Developer (6 years) Machine Learning Engineer (3 years) Physics Master Financial Researcher [email protected] Skills Power Point / Excel / Office C++ / C / Python / Git Algorithm Development / Data analyse Machine Learning / Neuron network / Tensorflow / Keras / Autoencoder / CNN Physics 學歷 NATIONAL TAIWAN UNIVERSITY, Physics Master, 2008 ~ 2010 ‧ Magnetic Quantum Confinement and Interaction of Co Nanoislands Resolved by Spin-Polarized Scanning Tunneling Microscopy and Spectroscopy ‧ 2010 Physics Annual Meeting of the Physics Best Paper in Magnetics Material
A tiempo completo / Interesado en trabajar a distancia
6-10 años
NATIONAL TAIWAN UNIVERSITY
・
Physics Master
AI enigneer @, Coretronic Inc.2019 ~ Presente
・
Más de un año
Conduct biological experiments with different type of optical spectroscopy , including total-internal-reflection spectroscopy TIRF , fluorescence spectroscopy , laser scanning confocal microscopy. AugJunMental counsultant Pingtong 298 Mechanized Infantry 學歷National Taiwan University Master Applied PhysicsNational Taiwan University Bachelor Physics 技能 Python: Scientific computing: numpy, scipy Web framework: flask, Django Machine-learning: scikit-learn, keras, gensim, tensorflow Nework investigation: networkx Javascript: cytoscape.js, highcharts.js, D3.js Database: mongodb, SQL, Postgres 語言 Mandarin. Native Fluency Taiwanese Native Fluency English. Professional Fluency(TOEFL score: reading(27), listening(24), speaking(18), writing(22)) Spanish Basic
A tiempo completo / Interesado en trabajar a distancia
6-10 años
National Taiwan University
・
Master Applied PhysicsEmpleado
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No está abierto a oportunidades
A tiempo completo / No está interesado en trabajar a distancia
De 4 a 6 años
National Taiwan University
・
EconomicsJr. Programmer @德義資訊股份有限公司2013 ~ 2015
・
Developer Team Leader, Architect, FullStack Developer
Más de un año
Empleado
A tiempo completo / Interesado en trabajar a distancia
6-10 años
National Taiwan University
・
Bachelor of Bio-Industrial Mechatronics EngineeringEl plan de reclutamiento más ligero y eficaz
Busque currículums y tome la iniciativa de ponerse en contacto con los solicitantes de empleo para lograr una mayor eficacia en la contratación. La elección de cientos de empresas.
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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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Ability to convey information effectively and is willing to give and receive feedback.
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En seis meses
Sr. software engineer (Full Remote) @ Gatos Vision
Gatos Vision
・
2022 ~ Presente
Professional Background
Situación actual
Empleado
Progreso en la búsqueda de empleo
Professions
Software Engineer, Research / R&D, Machine Learning Engineer
Fields of Employment
Manufacturing, Inteligencia Artificial / Aprendizaje Automático, Software
Experiencia laboral
1-2 años
Management
Ninguno
Habilidades
Idiomas
Chinese
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Nativo o bilingüe
English
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Intermedio
Japanese
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Principiante
Job search preferences
Posición
機器學習、資料科學工程師
Tipo de trabajo
A tiempo completo
Ubicación
Taiwan, 台灣, Taipei, 台灣
A distancia
Interesado en trabajar a distancia
Freelance
Sí, soy un autónomo amateur.
Educación
Escuela
National Taiwan University
Mayor
Civil Engineering
Zhao-Yang Zhuang (莊昭陽)
Experience with computer vision, deep learning. I am very passionate about design a novel DL model architecture for real world problems and hope to participate in more types of applications.
ML engineer Data scientist
[email protected] https://www.linkedin.com/in/rogan-zhuang/
Educations
National Taiwan University
Civil Engineering, Computer-Aided Engineering Group (M.S. degree)
(2018 ~ 2020)
Master Thesis:
Deep-learning method assisted crane for sway prediction: Recurrent Kalman Network.
Work Experiences
(Automation Services Co., LTD.) (AI/CV Engineer)
(Feb, 2021 - Oct, 2021)
- The main developer of AI/CV algorithm.
- Compiled the AI/CV part of automatic fabric inspection machine alone from scratch.
Research Experiences
Deep-learning method assisted crane for sway prediction : Recurrent Kalman Network
(Dec, 2019 - Jun, 2020)
Robotic LAB, NTU & 祐彬 Construction Co., Ltd
- Predicting the future position of a payload by RKN to assist in the automation of crane.
- The state of the payload system can be inferred by the combined information between the image pixels.
Tensorflow(Keras) OpenCV Python C/C++ Deep Learning
The second generation of automatic fabric inspection machine
(Feb, 2021 - Apr, 2021)
Automation Services Co., LTD.
- Detecting the defects on the textile by deep learning that efficiency is at least ten times of manual visual inspection.
- Calculate the area and location of defects by semantic segmentation.
- The prototype machine can detect the width of about two meters with eight cameras.
C# Deep Learning
The third generation of automatic fabric inspection machine
(May, 2021 - Oct, 2021)
Automation Services Co., LTD.
- Based on the second-generation inspection machine, all of the features are upgraded, such as image grabbing system, camera calibration system, deep learning framework, thread optimization, etc.
- This mass production machine is online.
- Not implemented using Tensorflow or Pytorch.
Key achievement: 100% detection of defects required by customers, 36x8 frames per second detection speed.
C# Deep Learning Cameras System Multithread Programming
Side Projects
- Image automatic labeling: CNN-base object tracking by Siam-Net. [labeling 90x faster than manual]
- Document layout analyzing: locate file elements (titles, text, pictures, etc.) by image segmentation.
- HousePrice-prediction: Predict the HousePrice in Feature Engineering & Advanced Regression. [Kaggle top 0.04%]
- Flowers classification: Distributed training a CNN to classify 104 kinds of flower pictures. [Kaggle top 0.09%]
Zhao-Yang Zhuang (莊昭陽)
Experience with computer vision, deep learning. I am very passionate about design a novel DL model architecture for real world problems and hope to participate in more types of applications.
ML engineer Data scientist
[email protected] https://www.linkedin.com/in/rogan-zhuang/
Educations
National Taiwan University
Civil Engineering, Computer-Aided Engineering Group (M.S. degree)
(2018 ~ 2020)
Master Thesis:
Deep-learning method assisted crane for sway prediction: Recurrent Kalman Network.
Work Experiences
(Automation Services Co., LTD.) (AI/CV Engineer)
(Feb, 2021 - Oct, 2021)
- The main developer of AI/CV algorithm.
- Compiled the AI/CV part of automatic fabric inspection machine alone from scratch.
Research Experiences
Deep-learning method assisted crane for sway prediction : Recurrent Kalman Network
(Dec, 2019 - Jun, 2020)
Robotic LAB, NTU & 祐彬 Construction Co., Ltd
- Predicting the future position of a payload by RKN to assist in the automation of crane.
- The state of the payload system can be inferred by the combined information between the image pixels.
Tensorflow(Keras) OpenCV Python C/C++ Deep Learning
The second generation of automatic fabric inspection machine
(Feb, 2021 - Apr, 2021)
Automation Services Co., LTD.
- Detecting the defects on the textile by deep learning that efficiency is at least ten times of manual visual inspection.
- Calculate the area and location of defects by semantic segmentation.
- The prototype machine can detect the width of about two meters with eight cameras.
C# Deep Learning
The third generation of automatic fabric inspection machine
(May, 2021 - Oct, 2021)
Automation Services Co., LTD.
- Based on the second-generation inspection machine, all of the features are upgraded, such as image grabbing system, camera calibration system, deep learning framework, thread optimization, etc.
- This mass production machine is online.
- Not implemented using Tensorflow or Pytorch.
Key achievement: 100% detection of defects required by customers, 36x8 frames per second detection speed.
C# Deep Learning Cameras System Multithread Programming
Side Projects
- Image automatic labeling: CNN-base object tracking by Siam-Net. [labeling 90x faster than manual]
- Document layout analyzing: locate file elements (titles, text, pictures, etc.) by image segmentation.
- HousePrice-prediction: Predict the HousePrice in Feature Engineering & Advanced Regression. [Kaggle top 0.04%]
- Flowers classification: Distributed training a CNN to classify 104 kinds of flower pictures. [Kaggle top 0.09%]