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Manager of Quality Management @Liberty Resources
2024 ~ Present
DEI Director
Within one month
Microsoft Office
Photoshop
Communication
Employed
Ready to interview
Full-time / Interested in working remotely
6-10 years
Drexel University Dornsife School of Public Health
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Past
Vice-President Human Resources @Frost National Bank
1998 ~ 2012
Human Resource Specialist / Recruiter
Within one month
Kimberly Garrison Austin, TX Talented Human Resources/Recruiter Professional Looking for a Senior Recruiter/Human Resources professional who can deliver results in a fast-paced environment? Look no further! With 25 years of professional development in Human Resources Management and Executive Recruiting, my expertise is to recruit in all levels of your organization! Specializing in Diversity and Inclusion, Project Management, and with industry experience in various fields, including, but not limited to Finance, IT, Commercial Real Estate, Facilities Management, Manufacturing, HVAC, Telecommunications, Software Development, Healthcare, and professional services. I can help you build a strong talent team
Word
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Excel
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USIHR
Human Rights Certificate
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seo
Within six months
to the high value of insurance products. This allows you to earn significant income for each successful lead or sale referred through your affiliate links. b) Broad Range of Insurance Products: Insurance affiliate programs cover various types of insurance, including auto, home, health, life, and more. This diversity allows you to cater to different audience needs and preferences, expanding your potential customer base. c) Growing Market Demand: Insurance is a necessity for individuals and businesses, creating a consistent demand for insurance products. By entering the insurance market, you position yourself for long-term success and
Microsoft Office
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Part-time / Remote Only
4-6 years
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Inside Sales Manager @Lenovo
2021 ~ Present
Senior Organization Development Consultant
Within one year
Alexis Cash Creating and maintaining a sustainable and positive workplace is always top of mind for me. As an accomplished sales professional and leader, I understand the importance of driving results through people, a company's greatest asset. Raleigh, NC, USA Professional Accomplishments Seller of the Year, Lenovo Beast Club, Top 10 Services & Solutions Seller, Lenovo Diversity & Inclusion Cha mpion, Lenovo President’s Club, Lenovo President’s Club, Forbes BLK MemberInside Sales Manager • Lenovo AprilPresent Recruiting, supporting, and coaching sellers to grow accounts and execute sales deals Meeting or exceeding regional sales and growth metrics. Current Annual
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Training and Development
Employed
Full-time / Interested in working remotely
6-10 years
Harvard University
Master of Liberal Arts- Extension Studies, Harvard University, Applicant
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Domestic Dynamo @The Maduzia Household
2018 ~ Present
Data Analyst, Product Manager, Business Analyst
Within one year
contests. Proven success in building long-term relationships, leveraging them to exceed revenue goals by over 15% every year. Expert in PnL budgeting and planning, strategic and tactical goal setting, and personnel management. Collaborated with corporate and teams for multiple operational improvements adopted company-wide. Former Diversity Champion for the Northern Division, responsible for encouraging our store leaders to promote our cultural diversity. Led over 80 employees while managing over 15 million dollars in revenue. Education University of Illinois at Urbana-Champaign Bachelor of Arts in Political Science Licenses & Certifications Servant Leadership Gordon Food
Microsoft Office
Leadership + Management
Communication Skills
Employed
Full-time / Remote Only
10-15 years
University of Illinois at Urbana-Champaign
Political Science and Government
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Avatar of Amy Ellis.
Lead Elementary Teacher @Alpine Montessori
2013 ~ Present
Within one year
implement Montessori-aligned curriculum for ages 6-12 The elementary program grew from an enrollment of 11 to a max enrollment of 26 Create, repair, and maintain materials Stock & maintain consumables Develop accommodations for students with differing needs Create reports for parents and external diagnosticians Organize student led fundraisers Promote diversity, equity, and inclusion through lessons and student activities in the community Write emails, press announcements, and maintain a social media presence Identify students in need of interventions and diagnostic services and refer them as appropriate Provide after-school tutoring for students with dyslexia, reading challenges, and math challenges Assistant
Word
Illustrator
Microsoft Office
Full-time / Interested in working remotely
More than 15 years
Wilson Language Training
Dyslexia Practitioner
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Director of Business Development @CHANCE
2021 ~ Present
Vice-President
More than one year
. Brought on first 30 corporate clients (including 15% of CAC 40 in Year 1: Boulanger, Carrefour, Crédit Mutuel Arkéa, JCDecaux, Michelin, L’Oréal, Pernod Ricard) Areas of focus included: organizational transformation, social mobility through professional alignment, talent development, employee engagement, supporting mobilities (internal/external), corporate social governance/diversity & inclusion Full Sales Cycle: from prospecting and leads generation, to commercial strategy, relationship nurturing, deal closing, to contractualization. Vice-President, Fixed Income Division • Société Générale (London / New York) JulySeptember 2020 Senior salesperson covering hedge funds, bank desks, high-yield funds, real money, and derivative accounts across a
Microsoft Office
Bloomberg(Terminal)
Pipedrive
Full-time / Interested in working remotely
10-15 years
EDHEC Business School
M.Sc. in Capital Markets and Master's in Management
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Owner @Dragone Motors Inc
2010 ~ 2014
Sales Manager
Within one year
Entrepreneur Carman Dragone shares a blog about the basics of becoming an entrepreneur. Five Signs it's Time to Pivot Your Business Carman Dragone shares a blog about when you should pivot your business model/plan. The Different Types of Bands Carman Dragone shares a blog highlighting the different types of bands you can join. Choosing an Audition Piece for Music School Carman Dragone talks about what audition piece you should choose for music school. What Diversity Looks Like in Business in 2022 Carman Dragone discusses what diversity looks like in 2022 in businesses.
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More than 15 years
Northwood University
Automotive Management
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Painter @HASC (Hebrew Artists Social Community)
2000 ~ Present
Painter
More than one year
Painting
Art
Fine Art
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More than 15 years
City University of New York
Fine Arts
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Senior Instructional Designer @Charter Communications
2021 ~ Present
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More than one year
Supportive
Interpersonal Skills
Build Relationships
Full-time / Interested in working remotely
10-15 years
Antonelli Institute
Art Education,Commercial Art

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Machine Learning Engineer
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Taiwan AI Labs
2019 ~ Present
Taipei, 台灣
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
Natural Language Processing
Machine Learning
Deep Learning
Data Science
Python
Git
PyTorch
Keras
CI/CD
k8s
Docker
Data Analysis
CNN
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English
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Machine Learning Engineer
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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
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Educations
School
NCKU, Master Degree
Major
Computer Science
Print
User 9593 1475392706

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.
Paragraph image 00 00@2x

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.
Paragraph image 00 00@2x

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


  1. Fake News Detection as Natural Language Inference. Kai-Chou Yang; Timothy Niven; Hung-Yu Kao. WSDM Cup 2019
  2. Fill the GAP: Exploiting BERT for Pronoun Resolution. Kai-Chou Yang; Timothy Niven; Tzu Hsuan Chou; Hung-Yu Kao. ACLWS'19
  3. Generalize Sentence Representation with Self-Inference. Kai-Chou Yang; Hung-Yu Kao. AAAI 2020
  4. 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
Resume
Profile
User 9593 1475392706

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.
Paragraph image 00 00@2x

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.
Paragraph image 00 00@2x

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


  1. Fake News Detection as Natural Language Inference. Kai-Chou Yang; Timothy Niven; Hung-Yu Kao. WSDM Cup 2019
  2. Fill the GAP: Exploiting BERT for Pronoun Resolution. Kai-Chou Yang; Timothy Niven; Tzu Hsuan Chou; Hung-Yu Kao. ACLWS'19
  3. Generalize Sentence Representation with Self-Inference. Kai-Chou Yang; Hung-Yu Kao. AAAI 2020
  4. 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