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4-6 years
6-10 years
10-15 years
More than 15 years
Past
產品經理(Technical Marketing Engineer) @新加坡商艾科微電子股份有限公司2022 ~ 2023
・
Product Manager
Within one month
center when Typhoon Morakot happened. Work Experience ARK SEMI, Product Manager, Sept~ MarCompany: ARK SEMI Title: Product Manager Job responsibilities: -In charge of the AD/DC IC product line, including active bridge/PFC/PWM and combo portfolios. Projects handled: -AHB IC kick off -SR IC CPR Achievements: - PWM Combo IC DVT1 done and estimate MP in July. Work Experience MEAN WELL, Product Manager, Jun 2021 ~ Aug 2022 Company:MEAN WELL Period:2021~ Today Title: Product Manager Job responsibilities: -In charge of the enclosed type industrial power supply product line from 15W to 15000W.
Unemployed
・
Ready to interview
Full-time / Interested in working remotely
6-10 years
NATIONAL FORMOSA UNIVERSITY
・
Master degree in Power Electronics
Employed
・
Open to opportunities
Full-time / Interested in working remotely
4-6 years
國立屏東科技大學
・
環境工程與科學系
Assistant Sales Manager @Upwards Biosystems, LTD.2024 ~ Present
・
不限制
Within one month
殊族群體適能訓練 橄欖球 龍舟 合氣道 專業證照： AFAA PFT S.S.I. Special population trainer FTI battle rope FTI kettlebell TRX STC CrossCore certificate instructor 台北縣緊急照護協會CPR+AED 龍舟B級教練 Taipei, Taiwan 工作經歷 Assistant Sales Manager Upwards Biosystems, LTD. • 二月Present 台灣北中南東區業務招募、培訓，各區健身業務拓展，各區業務
Employed
・
Open to opportunities
Full-time / Interested in working remotely
6-10 years
Feng Chia University
・
國際貿易學系
Medical Laboratory Technologist @Klinik Pratama Lestari Srigunting2020 ~ 2021
・
Medical Laboratory Technology Supervisor
Within two months
volutpat. Medical Laboratory Technologist • Klinik Pratama Lestari Srigunting OktoberMaret 2021 | Taipei, Taiwan Lorem ipsum dolor sit amet, consectetuer adipiscing elit, sed diam nonummy nibh euismod tincidunt ut laoreet dolore magna aliquam erat volutpat. magang • RSUP HAJI ADAM MALIK MEDAN JanuariFebruari 2020 | Taipei, Taiwan magang Analis Laboratory, and got CPR certificate Intern • Puskesmas Pembantu Jaharun-B Kecamatan Galang Sumatera Utara JanuariJanuari 2020 | Taipei, Taiwan Lorem ipsum dolor sit amet, consectetuer adipiscing elit, sed diam nonummy nibh euismod tincidunt ut laoreet dolore magna aliquam erat volutpat. Pendidikan Poltekkes Kemenkes Yogyakarta Clinical Laboratory Science/Medical Technology/Technologist •Pernah
Studying
・
Open to opportunities
Full-time / Interested in working remotely
6-10 years
Poltekkes Kemenkes Yogyakarta
・
Clinical Laboratory Science/Medical Technology/TechnologistPast
Warehouse /Shipping and Receiving/Forklift @ProLINK International Translation Service Limited2023 ~ 2024
・
Warehouse Associate, material handler
Within two months
both into and out of a warehouse facility. Warehouse / Materials Handler • OK Food Plc OctoberSeptember 2003 | Managed inventory levels and conducted regular stock checks to ensure accuracy. Processed incoming and outgoing shipments efficiently, including picking. HEALTH AND SAFTY TRAINING CERTIFICATES ( Canadian Red Cross First Aid And CPR and AED Level 3 ), ( WHMIS ), ,( WSIB ), ,( Occupational Health and Safety Act OHSA ) ,,( Ontario Forklift Operator License ), •Education OHSA Health & Safety Academy Forklift Safety Certification •Olabisi Onabanjo University(O.O.U) Business Administration •Euba Boys Secondary School Level 12 •ANSAR-DEEN PRIMARY SCHOOL (A.U.D
Unemployed
・
Open to opportunities
Full-time / Interested in working remotely
More than 15 years
HEALTH AND SAFTY TRAINING CERTIFICATES
・
( Canadian Red Cross First Aid And CPR and AED Level 3 ), ( WHMIS ),, ( WSIB ),, ( Occupational Health and Safety Act OHSA ),, ( Ontario Forklift Operator License ),Full-time / Interested in working remotely
4-6 years
Queen Mary University of London
・
Master of Critical Care with Merit前台服務人員 @國家表演藝術中心國家兩廳院2013 ~ Present
・
企劃經理、國際合作經理、資深產品經理、資深專案經理、行銷經理
Within three months
Employed
Full-time / Interested in working remotely
4-6 years
國立臺灣師範大學
・
表演藝術行銷
Medical Officer Anaesthesia & ICU @National Hospital For Respiratory Diseases2023 ~ Present
・
Medical Officer
Within six months
Nisansala Probodini Medical Officer A dedicated and compassionate medical professional with experience in anesthesia, intensive care, and internal medicine. Skilled in patient assessment, diagnosis, and treatment planning, committed to providing high-quality care and improving patient outcomes. https://www.linkedin.com/in/nisansala-probo/ [email protected] Experience MarchPresent Medical Officer Anaesthesia & ICU National Hospital For Respiratory Diseases - Manages patients in the ICU who require advanced invasive or non-invasive respiratory support - Responds to emergencies promptly and effectively. - Provides CPR and defibrillation if necessary. - Gives
Employed
Full-time / Not interested in working remotely
4-6 years
University Of Kelaniya Sri Lanka
・
Bachelor of Medicine , Bachelor of Surgery - MBBS
大廳見習襄理 @王品集團 夏慕尼鐵板燒2023 ~ 2023
・
Within one year
員等多項技藝，一方面是充實自我，另一方面是能去應對各式各樣的行業。 技能 TQC-OA-中文輸入 TQC-powerpoint TQC-word TQC-excel 急救證書包括CPR/AED TIMS行銷專業能力證照 優等獎 ERP軟體應用師-配銷模組 餐飲服務丙級技術士 飲料調製丙級技術士 得獎經歷 觀光導
Not open to opportunities
Intern / Interested in working remotely
4-6 years
台南應用科技大學 Tainan University of Technology
・
企業管理系廣告與數位行銷組
Professional Nurse @Kaohsiung Veterans General Hospital2016 ~ 2021
・
More than one year
treatment. Emergency care (major trauma care, first aid treatment) Communicable disease care (COVID-19) A nursing preceptor. ETTC (Emergency Trauma Training Course Certificate) ACLS (Advanced Cardiac Life Support Licence) Emergency and Critical care training certificate Registered nurse • Far Eastern Hospital AugustMay 2016 Taiwam Emergency care. Special event (Fire broke out at New Taipei City’s Formosa Fun Coast water park). Education National Taipei University of Nursing and Health Sciences NursingNational Tainan Junior College of Nursing NursingCertificate (Australia) 🪪 CPR and First Aid training certificate (Feb,🪪 Blue card 🪪 NDIS Worker Screening Clearance Card Language English (C1) Mandarin (Native)
Full-time / Interested in working remotely
4-6 years
National Taipei University of Nursing and Health Sciences
・
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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.
Professional Background
Current status
Employed
Job Search Progress
Not open to opportunities
Professions
Machine Learning Engineer, Data Scientist
Fields of Employment
Artificial Intelligence / Machine Learning, Big Data, Software
Work experience
2-4 years
Management
I've had experience in managing 1-5 people
Skills
Languages
English
・
Professional
Job search preferences
Positions
Machine Learning Engineer
Job types
Full-time
Locations
台灣台北, 台灣台南市, 美國加利福尼亞洛杉磯, 德國慕尼黑, 加拿大安大略多倫多
Remote
Interested in working remotely
Freelance
No
Educations
School
NCKU, Master Degree
Major
Computer Science
Kai-Chou, Yang
As a Kaggle Competition Master and a winner of international data science challenges, I am experienced in machine learning, deep learning and related frameworks such as PyTorch.
My research focuses on natural language processing (NLP), where I have released 11 open-source projects such as MianBot (700+★ on Github) and presented certain academic papers on top conferences like ACL, AAAI, CIKM, and WSDM.
International Awards
For the following achievements, I am the first author as well as the team leader.
2nd Place, CIKM Cup: Cross-lingual Short-text Matching Challenge
- Proposed two densely-connected architectures, CPRNN and DACNN, for sentence pair modeling.
- Fused semantic features from different levels to create diversity intra-models.
- The solution has been oral presented on CIKM 2018 in Turin, Italy.
3rd Place, WSDM Cup: Fake News Classification Challenge
- Implemented various NLI networks like ESIM and injected world knowledge using BERT.
- Proposed a disagreement-aware model based on the single-word attention.
- The paper has been oral presented on WSDM 2019 in Melbourne, Australia.
4th place, Google AI: Gendered Pronoun Resolution Competition
- Leveraged the information redundancy from BERT and extracted features from the optimal layer.
- Proposed a multi-heads Siamese semantic scorer for answer selection.
- The paper has been presented on ACL 2019 in Florence, Italy.
Kaggle Competition Master, Ranked top 0.2% (233/114,366)
- Top 1% (4/838), Gendered Pronoun Resolution Competition.
- Top 1% (27/4,550), Toxic Comment Classification Challenge.
- Top 3% (30/1,449), CareerCon 2019 - Help Navigate Robots.
- Top 4% (103/3,165), Jigsaw Unintended Bias in Toxicity Classification.
- Top 6% (223/3,633), CommonLit Readability Prize.
- Top 10% (384/3,946), TalkingData AdTracking Fraud Detection Challenge.
Work Experience
Taiwan AI Labs, Machine Learning Engineer, Sep 2019 ~ Now
Question Answering System
- Propose a conditional question generator with mT5 for controllable QA data augmentation and as the base of dense retrieval, which improves recall@50 from baseline model by 16%.
- Build a generative pseudo labeling pipeline using a open-domain passage retriever and machine reader, which improve the nDCG@10 by 4.2 - 9.7, on various domains.
- Build an efficient passage re-ranker based on tiny-bert with a time-series based clustering framework for effective negative passage sampling.
- Leverage FinBERT on QA analysis and slot filling for fintech dialogue system.
Natural Language Understanding
- Implement a document encoder with self-contrastive learning and a document clustering algorithm, which is scalable for million scale of streaming data.
- Implement a GROVER-like generator as the backbone for topic detection, article rewriting, and tag generation.
- Propose a semi-automatic framework for fake-news identification, which gathers evidence from event properties, user behavior and textual features.
- Propose a SOTA Chinese typo correction system based on a boosting loop of automatic speech recognition and text to speech for weak supervision.
- Build a general-purpose NLP training pipeline for team use involving data augmentation, data regularization, and unsupervised domain adaptation.
Education
Master in Department of Computer Science, NCKU GPA: 4.30
- Honorary member of the Phi Tau Phi Scholastic Honor Society. (Ranked 1st among all graduates.)
- As a teaching assistant for Introduction to Data Science, Data Mining and Discrete Mathematics.
- As a speaker / teaching assistant for introduction lectures of machine learning.
Bachelor in Department of Computer Science, NCKU GPA: 3.92
- Academic excellence awards 2016.
- Academic excellence awards 2015.
- Honorable mention on the graduation exhibition.
- Research assistant on a question answering system project for the Ministry of Science and Technology.
Side Projects
I list some of my project experiences. You can refer to my Github for the other interesting ideas.
Mianbot
- Got 700+ stars and 200+ forks on Github.
- Implemented the hierarchical keywords matching using word2vec.
- Implemented the IR-based searching module to support chit-chat.
- Allow user to define customized scenarios with JSON.
- The extracted QA pairs were released in PTT-Gossiping-Dataset, a widely-used Chinese chit-chat corpus.
NCKU Smart-Life LineBot
- A Linebot that helps solve trivial matters such as restaurant recommendation.
- The dialogue system is based on LUIS for intent classification.
- The backend was built with Django / Flask (new version) and host on Heroku.
- The backend is connected with Line server using the web API.
Knowledge & Skills
- General Machine Learning
- Classification, Regression, Clustering, Boosting, Feature Engineering.
- Natural Language Processing
- Sentence Pair Modeling: Natural language Inference, Machine Reading Comprehension, Sentence Similarity
- Text Classification / Regression / Clustering
- Deep contextual representation (ELMO / BERT / XLNet / ELECTRA / RoBERTa / ERINE2.0 / BigBird / T5)
- Recommendation System
- Factorization: Matrix Factorization, Factorization Machine, DeepFM
- Graph Embedding: DeepWalk, Node2Vec, item2Vec
Publication
- Fake News Detection as Natural Language Inference. Kai-Chou Yang; Timothy Niven; Hung-Yu Kao. WSDM Cup 2019
- Fill the GAP: Exploiting BERT for Pronoun Resolution. Kai-Chou Yang; Timothy Niven; Tzu Hsuan Chou; Hung-Yu Kao. ACLWS'19
- Generalize Sentence Representation with Self-Inference. Kai-Chou Yang; Hung-Yu Kao. AAAI 2020
- The Prevalence and Impact of Fake News on COVID-19 Vaccination in Taiwan: A Retrospective Study of Digital Media. Yen-Pin Chen; Yi-Ying Chen; Kai-Chou Yang; Feipei Lai; Chien-Hua Huang; Yun-Nung Chen; Yi-Chin Tu. JMIR
Kai-Chou, Yang
As a Kaggle Competition Master and a winner of international data science challenges, I am experienced in machine learning, deep learning and related frameworks such as PyTorch.
My research focuses on natural language processing (NLP), where I have released 11 open-source projects such as MianBot (700+★ on Github) and presented certain academic papers on top conferences like ACL, AAAI, CIKM, and WSDM.
International Awards
For the following achievements, I am the first author as well as the team leader.
2nd Place, CIKM Cup: Cross-lingual Short-text Matching Challenge
- Proposed two densely-connected architectures, CPRNN and DACNN, for sentence pair modeling.
- Fused semantic features from different levels to create diversity intra-models.
- The solution has been oral presented on CIKM 2018 in Turin, Italy.
3rd Place, WSDM Cup: Fake News Classification Challenge
- Implemented various NLI networks like ESIM and injected world knowledge using BERT.
- Proposed a disagreement-aware model based on the single-word attention.
- The paper has been oral presented on WSDM 2019 in Melbourne, Australia.
4th place, Google AI: Gendered Pronoun Resolution Competition
- Leveraged the information redundancy from BERT and extracted features from the optimal layer.
- Proposed a multi-heads Siamese semantic scorer for answer selection.
- The paper has been presented on ACL 2019 in Florence, Italy.
Kaggle Competition Master, Ranked top 0.2% (233/114,366)
- Top 1% (4/838), Gendered Pronoun Resolution Competition.
- Top 1% (27/4,550), Toxic Comment Classification Challenge.
- Top 3% (30/1,449), CareerCon 2019 - Help Navigate Robots.
- Top 4% (103/3,165), Jigsaw Unintended Bias in Toxicity Classification.
- Top 6% (223/3,633), CommonLit Readability Prize.
- Top 10% (384/3,946), TalkingData AdTracking Fraud Detection Challenge.
Work Experience
Taiwan AI Labs, Machine Learning Engineer, Sep 2019 ~ Now
Question Answering System
- Propose a conditional question generator with mT5 for controllable QA data augmentation and as the base of dense retrieval, which improves recall@50 from baseline model by 16%.
- Build a generative pseudo labeling pipeline using a open-domain passage retriever and machine reader, which improve the nDCG@10 by 4.2 - 9.7, on various domains.
- Build an efficient passage re-ranker based on tiny-bert with a time-series based clustering framework for effective negative passage sampling.
- Leverage FinBERT on QA analysis and slot filling for fintech dialogue system.
Natural Language Understanding
- Implement a document encoder with self-contrastive learning and a document clustering algorithm, which is scalable for million scale of streaming data.
- Implement a GROVER-like generator as the backbone for topic detection, article rewriting, and tag generation.
- Propose a semi-automatic framework for fake-news identification, which gathers evidence from event properties, user behavior and textual features.
- Propose a SOTA Chinese typo correction system based on a boosting loop of automatic speech recognition and text to speech for weak supervision.
- Build a general-purpose NLP training pipeline for team use involving data augmentation, data regularization, and unsupervised domain adaptation.
Education
Master in Department of Computer Science, NCKU GPA: 4.30
- Honorary member of the Phi Tau Phi Scholastic Honor Society. (Ranked 1st among all graduates.)
- As a teaching assistant for Introduction to Data Science, Data Mining and Discrete Mathematics.
- As a speaker / teaching assistant for introduction lectures of machine learning.
Bachelor in Department of Computer Science, NCKU GPA: 3.92
- Academic excellence awards 2016.
- Academic excellence awards 2015.
- Honorable mention on the graduation exhibition.
- Research assistant on a question answering system project for the Ministry of Science and Technology.
Side Projects
I list some of my project experiences. You can refer to my Github for the other interesting ideas.
Mianbot
- Got 700+ stars and 200+ forks on Github.
- Implemented the hierarchical keywords matching using word2vec.
- Implemented the IR-based searching module to support chit-chat.
- Allow user to define customized scenarios with JSON.
- The extracted QA pairs were released in PTT-Gossiping-Dataset, a widely-used Chinese chit-chat corpus.
NCKU Smart-Life LineBot
- A Linebot that helps solve trivial matters such as restaurant recommendation.
- The dialogue system is based on LUIS for intent classification.
- The backend was built with Django / Flask (new version) and host on Heroku.
- The backend is connected with Line server using the web API.
Knowledge & Skills
- General Machine Learning
- Classification, Regression, Clustering, Boosting, Feature Engineering.
- Natural Language Processing
- Sentence Pair Modeling: Natural language Inference, Machine Reading Comprehension, Sentence Similarity
- Text Classification / Regression / Clustering
- Deep contextual representation (ELMO / BERT / XLNet / ELECTRA / RoBERTa / ERINE2.0 / BigBird / T5)
- Recommendation System
- Factorization: Matrix Factorization, Factorization Machine, DeepFM
- Graph Embedding: DeepWalk, Node2Vec, item2Vec
Publication
- Fake News Detection as Natural Language Inference. Kai-Chou Yang; Timothy Niven; Hung-Yu Kao. WSDM Cup 2019
- Fill the GAP: Exploiting BERT for Pronoun Resolution. Kai-Chou Yang; Timothy Niven; Tzu Hsuan Chou; Hung-Yu Kao. ACLWS'19
- Generalize Sentence Representation with Self-Inference. Kai-Chou Yang; Hung-Yu Kao. AAAI 2020
- The Prevalence and Impact of Fake News on COVID-19 Vaccination in Taiwan: A Retrospective Study of Digital Media. Yen-Pin Chen; Yi-Ying Chen; Kai-Chou Yang; Feipei Lai; Chien-Hua Huang; Yun-Nung Chen; Yi-Chin Tu. JMIR