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On
4 到 6 年
6 到 10 年
10 到 15 年
15 年以上
United States
Sr. Inspection Process Engineer @Corning Incorporated2018 ~ 現在
・
Technical support engineer
兩個月內
正在積極求職中
全職 / 對遠端工作有興趣
10 到 15 年
National Sun Yat-sen University
・
Computer Science, Data mining, Database modeling正在積極求職中
全職 / 對遠端工作有興趣
10 到 15 年
Clarkson University
・
Mechanical Engineering
Siswa @Fiverr2020 ~ 現在
・
Visual Effect Artist / Editor
一個月內
— Muhammad Riesky Fabiansyah Visual Effects Artist with 5+ years of experience, offering a strong blend of technical skills, meticulous organization, and a deep passion for the craft. Highly motivated and committed to contributing to the success of the studio, not only through my VFX expertise but also by actively fostering its growth and development. Achievement & Experience : - 5 years of work experience at Fiverr as : • Visual Effect Artist • Video Editor • 3D CGI Artist My experience includes : Expertise in various VFX software such as After Effects, Blender, Cinema 4D ( C4D ), & Premier Pro. Ability to work independently and
就學中
・
目前會考慮了解新的機會
兼職 / 我只想遠端工作
4 到 6 年
SMK WIKRAMA BOGOR
Principal @Cascade Data Labs2016 ~ 2022
・
Director Data
兩個月內
Emily Ledoux Delivery Principal Seasoned Delivery Principal in the Data Practice. Focused on designing robust, scalable data ecosystems in the cloud to feed insights and data visualizations. Well-rounded consultant with experience spanning sales, recruiting, and delivery. Proven Delivery & Client Lead. Portland, OR, USA https://www.linkedin.com/in/emily-ledoux/ Work Experience JanuaryPresent Principal Data Architect Kin + Carta Delivery or Client Lead for over 25 resources, including direct reports, delivery oversight, hours tracking, QBRs, onboarding management, budget ownership and related responsibilities. Cloud Architect, designing Azure and
就職中
・
目前會考慮了解新的機會
全職 / 對遠端工作有興趣
6 到 10 年
University of Pennsylvania
・
Economics
3D Artist @Gourgel VFX2021 ~ 現在
・
3D Artist
一個月內
Ahmed Naguib 3D Artist Cairo, Egypt As a skilled 3D artist, I offer a range of services that can bring your creative vision to life. My expertise includes 3D Sculpting, 3D Modeling, UV Mapping, Texturing, Shading, and Rendering. Working with various specialized software products for excellence with 12+ years of experience, developed the skills to deliver high-quality outputs in fastest time possible Whether the required is hyper-realism or high detail for rendering and movie production, or optimized assets for games, or anything in between. i can bring your ideas to life in a way
就職中
・
目前會考慮了解新的機會
兼職 / 對遠端工作有興趣
15 年以上
Computer Science
・
Graphics
工程師 @永豐金證券2018 ~ 現在
・
Python Developer, Rust Developer, BigData Engineer
一個月內
/ Polars Celery FastAPI Visualization Rust Tauri Tokio Tonic Polars CICD Docker Docker-compose K8S Gitlab CI Github Action Deep Learning CNN / RNN / GNN Reinforcement Learning Tensorflow Pytorch Keras Other Language Rust javascript Swift C / C++ Dart Design Photoshop illustrator After Effects Cinema 4D 3D Modeling / Rendering Generative Design Side Project TradingGym more 這個專案啟發於openai的gym，gym是一個環境可以快速的讓你訓練自己的ai agent來玩遊戲，並上傳遊戲成績
就職中
全職 / 對遠端工作有興趣
4 到 6 年
國立東華大學 | National Dong Hwa University
・
Arts and Creative Industries
Project Management
三個月內
and Microsoft O365/SharePoint. Project Management Tools: Proficient in utilizing project management tools such as Confluence, Jira, Redmine, Trello, Slack, and GitLab for effective project coordination. Wireframing Expertise: Hands-on experience with wireframing tools like Moqups, Cacoo, and draw.io for visualizing and designing interfaces. Modeling Tools: Proficient in using modeling tools such as Visio, creating use cases, process flows, and UML diagrams to enhance project understanding and communication. Multiple Domain Knowledge In-depth Domain Expertise: Proficient in a wide range of domains, including Manufacturing, IoT, Software, and Supply Chain Management. Proficient in
全職 / 對遠端工作有興趣
6 到 10 年
National Cheng Kung University
・
Industrial and Information ManagementVisual Merchandising Specialist @NYX Cosmetics2014 ~ 2015
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Senior Graphic Designer
半年內
Cynthia M. Irwin Innovative and seasoned graphic design professional with over 9 years of hands-on experience in the dynamic realms of packaging, print, and digital design. Recognized for a proven track record of translating brand visions into visually stunning and effective design solutions. Seeking a challenging Senior Graphic Designer position to bring strategic creativity, leadership, and technical expertise to a forward-thinking company. Long Beach, CA, USA Work Experience CEO / Lead Artist • Brow Expressions Permanent Beauty | Long Beach, CA OctoberPresent Pioneered the last 6 years as CEO, merging artistic prowess with entrepreneurial skills in
就職中
全職 / 對遠端工作有興趣
6 到 10 年
California State University, Long Beach
・
Design and Applied ArtsPhotography @Freelance2010 ~ 現在
・
一年內
Amir Omid Amir Omid is a photographer with a true passion for capturing the natural beauty of the world around us. His artistic vision and technical skills combine to create images that are both stunning and meaningful. Specializing in landscape photography, Amir uses long exposure times to capture the intricate details of natural scenes, such as waterfalls, beaches, and forests. He also experiments with lighting techniques to evoke emotions and create a mood in his images. The results are breathtaking photographs that are both visually stunning and emotionally engaging. In addition to his landscape work
全職 / 對遠端工作有興趣
15 年以上
University of California - Irvine
・
Irvine Graphic Design全職 / 我只想遠端工作
6 到 10 年
Colorado State University
・
Certificate Computer Science最輕量、快速的招募方案，數百家企業的選擇
搜尋履歷，主動聯繫求職者，提升招募效率。
- 瀏覽所有搜尋結果
- 每日可無限次數開啟陌生對話
- 搜尋僅開放付費企業檢視的履歷
- 檢視使用者信箱 & 電話
搜尋技巧
1
嘗試搜尋最精準的關鍵字組合
資深 後端 php laravel
2
將須完全符合的字詞放在雙引號中
"社群行銷"
3
在不想搜尋到的字詞前面加上減號，如果想濾掉中文字，需搭配雙引號使用 (-"人資")
UI designer -UX
職場能力評價定義
專業技能
該領域中具備哪些專業能力（例如熟悉 SEO 操作，且會使用相關工具）。
問題解決能力
能洞察、分析問題，並擬定方案有效解決問題。
變通能力
遇到突發事件能冷靜應對，並隨時調整專案、客戶、技術的相對優先序。
溝通能力
有效傳達個人想法，且願意傾聽他人意見並給予反饋。
時間管理能力
了解工作項目的優先順序，有效運用時間，準時完成工作內容。
團隊合作能力
具有向心力與團隊責任感，願意傾聽他人意見並主動溝通協調。
領導力
專注於團隊發展，有效引領團隊採取行動，達成共同目標。
專業背景
目前狀態
就職中
求職階段
目前沒有興趣尋找新的機會
專業
機器學習工程師, 數據科學家
產業
人工智慧 / 機器學習, 大數據, 軟體
工作年資
2 到 4 年
管理經歷
我有管理 1～5 人的經驗
技能
語言能力
English
・
專業
求職偏好
希望獲得的職位
Machine Learning Engineer
預期工作模式
全職
期望的工作地點
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
遠端工作意願
對遠端工作有興趣
接案服務
否
學歷
學校
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