- Jobs
ResumeCreate your job-winning resume using our free resume builder.
PortfolioShowcase your skills and projects with a professional portfolio.ResumeCreate your job-winning resume using our free resume builder.Resume BuilderMake a resume for free.Resume TemplatesAccess our extensive library of professional & ready-to-use templates.Resume ExamplesGet inspired by real resume examples to create your own.Occupation GuideAccess resume writing guides tailored for different professions.Resume HelpGet expert advice on all things resume from our team of recruitment specialists.- ResourcesSuccess StoriesBusiness ExcellenceAbout CakeResumeFeatured Reads
- Hire
- Download our App
CakeResume Talent Search
Advanced filters
On
4-6 years
6-10 years
10-15 years
More than 15 years
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
reducing parameter training volume to 2% , decreasing memory usage by 70%, and increasing training speed by 25%. Architecture Optimization: Used Direct Preference Optimization (DPO) to optimize Reinforcement Learning, improving model efficiency and decision quality. [ G itHub ] Graduate Research Assistant OctOct 2023 Institute of Information Science, Academia Sinica, Taiwan Natural Language and Knowledge Processing Lab (NLP Lab) Publication: Published in ACM CIKMSequential Text-based Knowledge Update with Self-Supervised Learning for Generative Language Models . [ Paper | GitHub ] Performance has improved by 18.8% compared to traditional methods in the past and surpassed SOTA LLMs by 39.6
Employed
・
Ready to interview
Full-time / Interested in working remotely
4-6 years
國立政治大學（National Chengchi University）
・
資訊科學系
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
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
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
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
Data science lecturer @Ittraining2020 ~ Present
・
Data Scientist 資料科學家_數據分析師
Within one month
HUEY-LONG CHEN 陳惠龍 Kaggle Competitions Expert: https://www.kaggle.com/alanchen1115 Competitions: NLP (自然語言處理): - Silver medal (solo): (Kaggle) The Learning Agency Lab - PII Data Detection: Develop automated techniques to detect and remove PII from educational data. 2024/04/24 - Silver medal (solo): (Kaggle) U.S. Patent Phrase to Phrase Matching: Help Identify Similar Phrases in U.S. Patents, 2022/06/21 Recommendation system (推薦系統): - Silver medal (solo): (Kaggle) OTTO – Multi-Objective Recommender System: Build a
Employed
・
Open to opportunities
Part-time / Interested in working remotely
More than 15 years
Purdue University
・
School of civil engineering (Stochastic & statistical hydrology)
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
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
Android Team Lead @104 Corporation2018 ~ Present
・
Senior Software Engineer, Principal Software Engineer, Engineering Manager
Within two months
incorporating: - A clean architectural approach - Integration with Firebase services - Support for the latest Android features ensuring scalability for future organizational growth - Successfully retained a 4.6-star user rating and boosted job application rates by 10%. • 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
Employed
・
Open to opportunities
Full-time / Interested in working remotely
More than 15 years
UNSW
・
Computer software, network and security engineeringPast
iOS Engoneer @VoiceTube 紅點子科技股份有限公司2020 ~ 2023
・
iOS Developer
Within three months
Unemployed
・
Open to opportunities
Full-time / Interested in working remotely
6-10 years
國立臺北大學 National Taipei University
・
資工所Data Engineer @MediaTek Inc.2019 ~ Present
・
Senior Software Engineer
Within one month
Employed
・
Open to opportunities
Full-time / Interested in working remotely
6-10 years
National Tsing Hua University
・
Data Mining, Database System
Offline
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...
Employed
・
Open to opportunities
Full-time / Interested in working remotely
4-6 years
國立台灣大學
・
Electrical Engineering
Blockchain Enginner & AI Lead @Portal Network
Blockchain engineer & Blockchain consulting
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
Full-time / Interested in working remotely
4-6 years
The Most Lightweight and Effective Recruiting Plan
Search resumes and take the initiative to contact job applicants for higher recruiting efficiency. The Choice of Hundreds of Companies.
- Browse all search results
- Unlimited access to start new conversations
- Resumes accessible for only paid companies
- View users’ email address & phone numbers
Search Tips
1
Search a precise keyword combination
senior backend php
2
Use quotes to search for an exact phrase
"business development"
3
Use the minus sign to eliminate results containing certain words
UI designer -UX
Only public resumes are available with the free plan.
Upgrade to an advanced plan to view all search results including tens of thousands of resumes exclusive on CakeResume.
Definition of Reputation Credits
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.
Communication
Ability to convey information effectively and is willing to give and receive feedback.
Time Management
Ability to prioritize tasks based on importance; and have them completed within the assigned timeline.
Teamwork
Ability to work cooperatively, communicate effectively, and anticipate each other's demands, resulting in coordinated collective action.
Leadership
Ability to coach, guide, and inspire a team to achieve a shared goal or outcome effectively.
Within one month
Engineering Manager @ Viscovery 創意引晴股份有限公司
Viscovery 創意引晴股份有限公司
・
2018 ~ Present
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
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
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
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