- 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
Unemployed
・
Ready to interview
Full-time / Interested in working remotely
4-6 years
揚州大學
・
數學與統計學
Past
Asia Lead Software Engineer @新加坡商羅福斯有限公司台灣分公司2023 ~ 2024
・
Software Engineer
Within one month
chose to return to the campus to continue to enrich myself. Elective Courses-8 subjects with a total average score :85.4 and GPA : 3.9. ➤ Advanced artificial intelligence: use Google Colab to analyze pm2.5 air pollution data, and use linear regression to predict stocks, use C# to write fish identification in the final report and automatically bring it into the optional cooking menu. ➤ Advanced data mining and huge data analysis: Use python and use google API search engine to compose automatic answering robots. ➤ Image processing: Use Visual
Unemployed
・
Ready to interview
Full-time / Interested in working remotely
6-10 years
National Chung Hsing University
・
Computer Science and Information
Staff Front-End Developer @趨勢科技2021 ~ Present
・
Senior Software Engineer
Within one month
This application provides users with enhanced services through real-time conversations and utilizes AI technology to rapidly assess the security status of customers' endpoints, servers, and related information. Actively engaged in the project from its initial conceptualization. ・ Targeted Attack Detection (TAD) (MarchPresent): Collaborated with the data team to predict potential attacks on customers early and notify them about attack patterns and probabilities. This helps customers take proactive measures to prevent ransomware. Underwent several major revisions during the project. ・ Executive Dashboard App (FebruaryApril 2023): Focused on user interaction and the development of various highcharts charts.
Employed
・
Open to opportunities
Full-time / Interested in working remotely
6-10 years
元智大學
・
CSE
Senior Medical Technologist of NGS Lab @Stork Fertility Center2014 ~ 2018
・
RD
Within two months
庫: 自動化LIS 2019 KPI系統: 胚胎實驗室、分生實驗室 2018 臨床資料庫: 電子化 醫學發表 https://orcid.org/臨床療程 Using an Interpretable Machine Learning Model to Predict Corifollitropin Alfa Protocol. Fertility & Reproduction. 2023;5:Lai HH, Kuo EE, Li RS, Chuang TH , Huang YC, Hsieh JY, Chang TA, Huang YL, Hsieh WT, Su YR, and Liu M. (醫療AI模型) A Patient Friendly Corifollitropin Alfa Protocol without Routine Pituitary Suppression in
Employed
・
Open to opportunities
Full-time / Not interested in working remotely
10-15 years
National Taiwan University
・
canditate, Graduate institute of Clinical medicinePast
Freelance @Upwork2023 ~ Present
・
Digital Marketing Specialist
Within three months
Unemployed
・
Open to opportunities
Full-time / Interested in working remotely
4-6 years
Virtual University
・
Computer Science
數據科學家 @中國信託商業銀行股份有限公司2021 ~ 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 three months
factors, and updating alert lists. Implemented Autoencoder + contrastive learning to achieve a 1.81% improvement in model effectiveness. Coupon Recommendation Objective: Personalized coupon recommendations for mobile banking users to increase click-through rates and redemption rates. Responsibilities/Achievements: Utilized multi-task learning to simultaneously predict click-through behavior and coupon redemptions, resulting in a 14% increase in click-through rate and a 74% increase in redemption rate. Created performance tracking reports to monitor online model performance and provide insights to Business Units. Financial Product Recommendations Objective: Tailored financial product recommendations for mobile
Employed
・
Open to opportunities
Full-time / Interested in working remotely
4-6 years
政治大學
・
統計
Offline
Offline
Engineering Manager @Viscovery 創意引晴股份有限公司2018 ~ Present
・
Within one month
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, SepAug 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.
Employed
・
Open to opportunities
Full-time / Interested in working remotely
4-6 years
國立台灣大學
・
Electrical Engineering
Analyst of Quantitative Finance @幣昇資訊有限公司-Cryptovix2020 ~ Present
・
Financial Analyst
Within one month
. Developed cryptocurrency copy trading systems and term arbitrage strategies: Implemented term arbitrage strategies using WebSocket technology to monitor market quotes in real-time, significantly enhancing the speed of data updates and system response compared to traditional polling methods. Processed time-series data using pandas to accurately analyze and predict market trends, dynamically adjusting trading algorithms to optimize the risk and return of investment portfolios. Quantitative Researcher at Algoreality. , JanDec 2022 Designed a grid trading robot using Python multithreading technology and asyncio for efficient asynchronous calls to the Binance API, significantly enhancing the execution speed of trading
Employed
Full-time / Interested in working remotely
4-6 years
private chinese culture university
・
electronic engineering
IT Manager @Hatch Interactive Technologies Corp.2020 ~ 2023
・
C#.net Development 全端/後端工程師
Within one month
Sitefinity and Umbraco) Maintenance Microsoft Business Central and MS Power BI for Tunglok Singapore EORS4 project for XCHAINHongkong (.NET Core) Planning and executing project scopes, managing timelines, and deadlines. Tracking and reporting on overall progress. Manage daily operations of brand new programs and metric the objective.- Predict project revenue and ensure all goals are met Senior Dotnet Developer CyberQuote Pte Ltd JuliDesember 2020 Surabaya, Taiwan Lorem ipsum dolor sit amet, consectetuer adipiscing elit, sed diam nonummy nibh euismod tincidunt ut laoreet dolore magna aliquam erat volutpat. Lead Project Coordinator VOX TENEO DesemberJuli 2019Taipei, Taiwan Lorem
Employed
Full-time / Interested in working remotely
More than 15 years
Institut Teknologi Sepuluh Nopember (ITS)
・
Electrical and Electronics EngineeringInstructor @Digi+ Program in NHRI (Genomics Analysis and Precision Medicine)2022 ~ Present
・
工程師
Within three months
Studying
Full-time / Interested in working remotely
6-10 years
National Chung Hsing University
・
BiomedicalThe 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