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Avatar of Patrick Hsu.
Avatar of Patrick Hsu.
Algorithm Research & Development @適着三維科技股份有限公司 TG3D Studio Inc.
2021 ~ Present
Software Engineer
Within one month
Patrick Hsu AI Research & Development As a seasoned AI engineer with six years of experience, I specialize in computer vision, 3D body model reconstruction, generative AI, and possessing some knowledge in natural language processing (NLP). | New Taipei City, [email protected] Work Experience (6 years) Algorithm Research & Design• TG3D Studio MayPresent A skilled engineer specialized in computer vision and generative AI with experience in developing and training AI models for digital fashion applications. Body AI: Virtual Try On Integrated cutting-edge technologies such as Stable Diffusion, ControlNet, and Prompt Engineering to create a sophisticated system for
Python
AI & Machine Learning
Image Processing
Employed
Ready to interview
Full-time / Interested in working remotely
4-6 years
國立台灣大學
生物產業機電工程所
Avatar of chiyun chao.
Avatar of chiyun chao.
Research & Development Engineer @三竹資訊股份有限公司
2023 ~ Present
AI工程師、機器學習工程師、深度學習工程師、資料科學家、Machine Learning Engineer、Deep Learning Engineer、Data Scientist
Within one month
趙啟雲 chiyun chao A software engineer with 4 years of experience in AI model training and backend development. In the domain of machine/deep learning, I am familiar with: - focus on NLP(Natural language processing) and DPI(Deep packet inspection) - NLP networks such as Transformer, BERT, T5 - have experience with AI training platform development with mlflow, Label Studio, DVC In terms of backend development, I have the following experience: - backend framework: Spring boot, Flask - familiar with DB syntax for Elasticsearch, PosgresSQL and MSSQL Taiwan E-mail: [email protected] Skill languages Python JAVA backend
Python
JAVA
Linux
Employed
Open to opportunities
Full-time / Not interested in working remotely
4-6 years
國立中央大學 National Central University
資訊工程
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Avatar of the user.
商業分析師 @凱基商業銀行股份有限公司
2021 ~ Present
Data Analyst、Data Engineer、Data Scientist、Customer Experience Analyst
Within one month
Python
English as a Second Language (ESL)
Excel
Employed
Open to opportunities
Full-time / Interested in working remotely
4-6 years
國立政治大學(National Chengchi University)
數位內容
Avatar of William Chao.
Avatar of William Chao.
Android Team Lead @104 Corporation
2018 ~ Present
Senior Software Engineer, Principal Software Engineer, Engineering Manager
Within one month
future organizational growth - Successfully retained a 4.6-star user rating and boosted job application rates by 10%. - Collaborated with the product owner, UI/UX designer, and sales department to design the AD system. • AI Implementation: Created an AI tool to convert UI test cases from natural language into UiAutomator2 scripts, seamlessly integrating them into the CICD process. This resulted in a 90% acceleration UiAutomator2 test case generation. • Technology Introduction: - Flutter: Developed an in-house App Dashboard to consolidate Android/iOS/backend CICD build statuses and test report outcomes. Single-handedly
Android
Software Development
Software Architecture
Employed
Open to opportunities
Full-time / Interested in working remotely
More than 15 years
UNSW
Computer software, network and security engineering
Avatar of the user.
Avatar of the user.
Senior iOS Developer @LINE Taiwan Limited
2020 ~ Present
App Team Lead, Senior iOS Developer
Within one month
iOS
Objective-C
JavaScript
Employed
Open to opportunities
Full-time / Interested in working remotely
6-10 years
National Taiwan University
Computer Science
Avatar of the user.
Avatar of the user.
Data Engineer @MediaTek Inc.
2019 ~ Present
Senior Software Engineer
Within one month
Python
Linux
Machine Learning
Employed
Open to opportunities
Full-time / Interested in working remotely
6-10 years
National Tsing Hua University
Data Mining, Database System
Avatar of 金爾康.
Offline
Avatar of 金爾康.
Offline
Engineering Manager @Viscovery 創意引晴股份有限公司
2018 ~ Present
Within one month
including Recurrent Neural Network (RNN), word2vec, paragraph vector. Working Experience Intern, JulDec 2014 Phalanx Biotech Develop machine learning solutions for cancer gene detection and TSMC semiconductor quality prediction. Intern, JulAug 2013 Solid State System Assisted in CMOS MEMs microphone product development including proto-type simulation, fabrication/packaging process, defect analysis and market survey. Achievements 1. Qualified of preliminary contest of TSMC Big Data Analytics for Semiconductor Manufacturing. Taiwan,Completion of Broad-DREAM Gene Essentiality Prediction Challenge, 2014 Professional Skills Research Field Machine Learning Deep Learning Computer Vision Natural Language Processing Lang...
Deep Learning
Computer Vision
FastAPI
Employed
Open to opportunities
Full-time / Interested in working remotely
4-6 years
國立台灣大學
Electrical Engineering
Avatar of Anirudh Madhigiri Gopinath.
Avatar of Anirudh Madhigiri Gopinath.
Past
Data Analyst @Universität Paderborn
2021 ~ 2022
Data Scientist
Within one month
Anirudh Madhigiri Gopinath Phone :Location: Munich, Germany I am a certified Data Scientist with extensive experience in predictive analytics, machine learning, and data visualization. I hold a Master's degree in Computer Science and a Bachelor's in Information Science. I have effectively applied my skills across various roles. At Salzburg Research, I enhanced AI models and utilized Azure technologies. During my tenure at Paderborn University, I focused on advanced SQL query formulation and data visualization with PowerBI. I have also developed over 20 machine learning models for healthcare applications, demonstrating my ability to translate
Natural Language Processing
Machine learning
Tableau Desktop
Unemployed
Full-time / Interested in working remotely
6-10 years
Universität Paderborn
Computer Science - Intelligence and Data
Avatar of Johnny Hsieh.
Avatar of Johnny Hsieh.
Founder @MorphusAI
2023 ~ Present
Nope
Within one month
expressions, enhancing user interaction experiences. Emotion Recognition Systems: Developing AI systems capable of understanding and responding to user emotions, used to enhance customer service and user interactions. Voice Technology (TTS): Natural Voice Generation: Employing Text-to-Speech (TTS) technology to convert text into natural, fluent voice across multiple languages, suitable for virtual assistants and customer service bots. Voice Interaction Interfaces: Developing voice interaction interfaces that enable digital personas to conduct natural dialogues, offering more humanized interaction methods. Large Language Models and Natural Language Processing: Personalized Response Generation: Leveraging personality-driven large language models to provide customized
Solidity
blockchain development
Docker
Employed
Not open to opportunities
Full-time / Not interested in working remotely
4-6 years
Avatar of Dan Shao.
Avatar of Dan Shao.
Senior Product Growth Manager @SOSV
2018 ~ 2023
Product Manager / Product Growth
Within one month
and honed my skills in dynamic tech stacks. As a seasoned product manager, I've successfully navigated the intersection of user needs and technical innovation, steering product strategies for optimal growth. From leading software teams at IBM to co-founding a startup that delved into machine learning and natural language processing, I bring a unique blend of technical prowess, product expertise, and entrepreneurial flair. My expertise in growth hacking working with early stage startups around the world involves leveraging lean startup methodologies and data-driven decision-making to drive business success. I'm excited to bring
Golang
Javascript
Perl
Employed
Not open to opportunities
Full-time / Interested in working remotely
10-15 years
Quantic School of Business and Technology

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Within one month
Engineering Manager @ Viscovery 創意引晴股份有限公司
Logo of Viscovery 創意引晴股份有限公司.
Viscovery 創意引晴股份有限公司
2018 ~ Present
Taiwan
Professional Background
Current status
Employed
Job Search Progress
Open to opportunities
Professions
Back-end Engineer, Data Engineer, Software Engineer
Fields of Employment
Artificial Intelligence / Machine Learning, SaaS / Cloud Services
Work experience
4-6 years
Management
I've had experience in managing 5-10 people
Skills
Deep Learning
Computer Vision
FastAPI
Airflow
Terraform
Jenkins
Ansible
Prometheus/Grafana
EdgeDB
Languages
Chinese
Native or Bilingual
English
Fluent
Job search preferences
Positions
Job types
Full-time
Locations
Taipei, 台灣
Remote
Interested in working remotely
Freelance
No
Educations
School
國立台灣大學
Major
Electrical Engineering
Print
Profile 00 00@2x e294063b2878e4164ba1dd904aa6b8bae6a97e19937899e4b4af853acf30de5d

King Erh-Kan

Email: goan15910@gmail.com
Phone: (886) 910-159-471
Address: F10 No7 Lane 131 Hangzhou South Road, Section 1, Taipei, Taiwan (R.O.C.)

Education

National Taiwan University (NTU),                               Taipei, Taiwan, Sep 2011 - Jun 2015
Bachelor of science in Electrical Engineering

Publication


1. Jin-Fu Lin, Yen-Liang Lin, Erh-Kan King, Hung-Ting Su, Winston H. Hsu, ”Cross-Domain Hallucination Network for Fine-Grained Object Recognition”, CVPRW 2018.


2. Mehmet Gnen, Barbara A Weir, ..., Broad-DREAM Community, Gustavo Stolovitzky, William C Hahn, Adam A Margolin "A community-based challenge for building predictive models of gene essentialities over a large-scale functional screen of cancer cell lines", Cell Systems


3. Erh-Kan King, Chung-Yen Hung, Winston Hsu, "Visual-Textual Convolutional Neural Network: Rening Image Representation With Click-Through Data", to appear in going to submmit in arXiv. 

Research Experience

Research Assistant,                                                                                  Sep 2014 - present
Communication and Multimedia Lab (CMLab), NTU

  • Proposed a Convolutional Neural Network (CNN) accurately performing fine-grained classification for surveillance car. The model recovered lost details from low resolution image with hints in crawled web images.
  • Leveraged frame similarity to speed up CNN-based object detection and semantic segmentation models, e.g. FPN, PSPNet, YOLO, Faster-RCNN, and SegNet.
  • Proposed a multimodal CNN achieving high fine-grained classification accuracy. The model was trained with both web images and its tags, and could predict solely with image in future testing phase.

Under Graduate Research Assistant,                                                   Sep 2013 - Aug 2014
Speech Processing Laboratory, NTU 

  • Researched in Deep Neural Network and Probabilistic Graphical Model, including Recurrent Neural Network and Regularized Mixture Model
  • Surveyed various word embedding method, including Recurrent Neural Network (RNN), word2vec, paragraph vector.

Working Experience

Intern,                                                                                                          Jul 2014 - Dec 2014
Phalanx Biotech

  • Develop machine learning solutions for cancer gene detection and TSMC semiconductor quality prediction.

Intern,                                                                                                          Jul 2013 - Aug 2013
Solid State System

  • Assisted in CMOS MEMs microphone product development including proto-type simulation, fabrication/packaging process, defect analysis and market survey.

Achievements


1. Qualified of preliminary contest of TSMC Big Data Analytics for Semiconductor Manufacturing. Taiwan, 2014

2. Completion of Broad-DREAM Gene Essentiality Prediction Challenge, 2014

Professional Skills


Research Field

  • Machine Learning
  • Deep Learning
  • Computer Vision
  • Natural Language Processing



Language

  • Python
  • C++
  • R
  • Java


Toolkits

  • Tensorflow
  • Keras
  • Caffe
  • OpenCV
  • Scikit-Learn
  • Numpy
  • Scipy

Resume
Profile
Profile 00 00@2x e294063b2878e4164ba1dd904aa6b8bae6a97e19937899e4b4af853acf30de5d

King Erh-Kan

Email: goan15910@gmail.com
Phone: (886) 910-159-471
Address: F10 No7 Lane 131 Hangzhou South Road, Section 1, Taipei, Taiwan (R.O.C.)

Education

National Taiwan University (NTU),                               Taipei, Taiwan, Sep 2011 - Jun 2015
Bachelor of science in Electrical Engineering

Publication


1. Jin-Fu Lin, Yen-Liang Lin, Erh-Kan King, Hung-Ting Su, Winston H. Hsu, ”Cross-Domain Hallucination Network for Fine-Grained Object Recognition”, CVPRW 2018.


2. Mehmet Gnen, Barbara A Weir, ..., Broad-DREAM Community, Gustavo Stolovitzky, William C Hahn, Adam A Margolin "A community-based challenge for building predictive models of gene essentialities over a large-scale functional screen of cancer cell lines", Cell Systems


3. Erh-Kan King, Chung-Yen Hung, Winston Hsu, "Visual-Textual Convolutional Neural Network: Rening Image Representation With Click-Through Data", to appear in going to submmit in arXiv. 

Research Experience

Research Assistant,                                                                                  Sep 2014 - present
Communication and Multimedia Lab (CMLab), NTU

  • Proposed a Convolutional Neural Network (CNN) accurately performing fine-grained classification for surveillance car. The model recovered lost details from low resolution image with hints in crawled web images.
  • Leveraged frame similarity to speed up CNN-based object detection and semantic segmentation models, e.g. FPN, PSPNet, YOLO, Faster-RCNN, and SegNet.
  • Proposed a multimodal CNN achieving high fine-grained classification accuracy. The model was trained with both web images and its tags, and could predict solely with image in future testing phase.

Under Graduate Research Assistant,                                                   Sep 2013 - Aug 2014
Speech Processing Laboratory, NTU 

  • Researched in Deep Neural Network and Probabilistic Graphical Model, including Recurrent Neural Network and Regularized Mixture Model
  • Surveyed various word embedding method, including Recurrent Neural Network (RNN), word2vec, paragraph vector.

Working Experience

Intern,                                                                                                          Jul 2014 - Dec 2014
Phalanx Biotech

  • Develop machine learning solutions for cancer gene detection and TSMC semiconductor quality prediction.

Intern,                                                                                                          Jul 2013 - Aug 2013
Solid State System

  • Assisted in CMOS MEMs microphone product development including proto-type simulation, fabrication/packaging process, defect analysis and market survey.

Achievements


1. Qualified of preliminary contest of TSMC Big Data Analytics for Semiconductor Manufacturing. Taiwan, 2014

2. Completion of Broad-DREAM Gene Essentiality Prediction Challenge, 2014

Professional Skills


Research Field

  • Machine Learning
  • Deep Learning
  • Computer Vision
  • Natural Language Processing



Language

  • Python
  • C++
  • R
  • Java


Toolkits

  • Tensorflow
  • Keras
  • Caffe
  • OpenCV
  • Scikit-Learn
  • Numpy
  • Scipy