CakeResume 找人才
进阶搜寻
On
4 到 6 年
6 到 10 年
10 到 15 年
15 年以上
曾任
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
一個月內
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.
待业中
・
正在积极求职中
全职 / 对远端工作有兴趣
6 到 10 年
NATIONAL FORMOSA UNIVERSITY
・
Master degree in Power Electronics
就职中
・
目前会考虑了解新的机会
全职 / 对远端工作有兴趣
4 到 6 年
國立屏東科技大學
・
環境工程與科學系
Assistant Sales Manager @Upwards Biosystems, LTD.2024 ~ 现在
・
不限制
一個月內
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
就职中
・
目前会考虑了解新的机会
全职 / 对远端工作有兴趣
6 到 10 年
Feng Chia University
・
國際貿易學系
Medical Laboratory Technologist @Klinik Pratama Lestari Srigunting2020 ~ 2021
・
Medical Laboratory Technology Supervisor
兩個月內
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
就学中
・
目前会考虑了解新的机会
全职 / 对远端工作有兴趣
6 到 10 年
Poltekkes Kemenkes Yogyakarta
・
Clinical Laboratory Science/Medical Technology/Technologist曾任
Warehouse /Shipping and Receiving/Forklift @ProLINK International Translation Service Limited2023 ~ 2024
・
Warehouse Associate, material handler
兩個月內
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
待业中
・
目前会考虑了解新的机会
全职 / 对远端工作有兴趣
15 年以上
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 ),全职 / 对远端工作有兴趣
4 到 6 年
Queen Mary University of London
・
Master of Critical Care with Merit就职中
全职 / 对远端工作有兴趣
4 到 6 年
國立臺灣師範大學
・
表演藝術行銷
Medical Officer Anaesthesia & ICU @National Hospital For Respiratory Diseases2023 ~ 现在
・
Medical Officer
半年內
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
就职中
全职 / 暂不考虑远端工作
4 到 6 年
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
・
一年內
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
目前没有兴趣寻找新的机会
Intern / 对远端工作有兴趣
4 到 6 年
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
・
超過一年
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)
全职 / 对远端工作有兴趣
4 到 6 年
National Taipei University of Nursing and Health Sciences
・
Nursing最轻量、快速的招募方案，数百家企业的选择
搜寻简历，主动联系求职者，提升招募效率。
- 浏览所有搜寻结果
- 每日可无限次数开启陌生对话
- 搜尋僅開放付費企業檢視的简历
- 检视使用者信箱 & 电话
搜寻技巧
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
职场能力评价定义
专业技能
该领域中具备哪些专业能力（例如熟悉 SEO 操作，且会使用相关工具）。
问题解决能力
能洞察、分析问题，并拟定方案有效解决问题。
变通能力
遇到突发事件能冷静应对，并随时调整专案、客户、技术的相对优先序。
沟通能力
有效传达个人想法，且愿意倾听他人意见并给予反馈。
时间管理能力
了解工作项目的优先顺序，有效运用时间，准时完成工作内容。
团队合作能力
具有向心力与团队责任感，愿意倾听他人意见并主动沟通协调。
领导力
专注于团队发展，有效引领团队采取行动，达成共同目标。
专业背景
目前状态
就职中
求职阶段
目前没有兴趣寻找新的机会
专业
机器学习工程师, 数据科学家
产业
人工智能 / 机器学习, 大数据, 软件
工作年资
2 到 4 年
管理经历
我有管理 1～5 人的经验
技能
语言能力
English
・
专业
求职偏好
希望获得的职位
Machine Learning Engineer
预期工作模式
全职
期望的工作地点
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
远端工作意愿
对远端工作有兴趣
接案服务
否
学历
学校
NCKU, Master Degree
主修科系
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