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Senior Analyst, Software Engineer @Synpulse Taiwan Ltd. | 星普思管理諮詢有限公司
2022 ~ Present
Software Developer
Within one month
JavaScript
ASP.NET MVC
HTML5
Employed
Open to opportunities
Full-time / Interested in working remotely
4-6 years
Queensland University of Technology(昆士蘭科技大學)
Computer Science
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Software Engineer @CakeResume
2022 ~ Present
Software Engineer
Within one month
analytics tools and event tracking systems. Spearheaded the integration of Strapi (a content management system), enhancing the team's ability to quickly produce pages and distribute content . Pioneered the integration of LLM model API services. Research Assistant, Academia Sinica 11//2020 Conducted research in deep learning-based Natural Language Processing (NLP), exploring innovative approaches in machine learning. Experimented with various training methods and models, including multi-task learning and language models such as BERT. Authored a publication titled "Detecting Deceptive Language in Crime Interrogation". Investigated Memory Networks and applied them to develop
React
TypeScript
JavaScript
Reputation Credits1
Employed
Not open to opportunities
Full-time / Interested in working remotely
10-15 years
National Taiwan University
Computer Science and Information Engineering
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Past
Career transition @Career Break
2024 ~ 2024
NLP Engineer / Data Scientist / Machine Learning Engineer
Within one month
Python
SQL
NLP
Unemployed
Ready to interview
Full-time / Interested in working remotely
4-6 years
National Chengchi University
資訊科學系
Avatar of 李昀庭.
Avatar of 李昀庭.
AI Engineer @Playsee
2022 ~ Present
資料分析師、資料科學家、產品經理
Within one month
李昀庭 Data scientist Taiwan 技能 Machine learning and Engineering skills: Python, Big Query, Google Storage, Linux, Docker, GCP, AWS, Scikit-learn, Tensorflow, Pytorch, MLOps, FastAPI, Machine Learning, Deep Learning, Computer Vision, NLP Experimental design, Project management, Product design English - TOEIC 725 工作經歷 AI工程師 Playsee NovPresent Taipei, Taiwan 自動化標註推薦系統 設計並實踐架構取代25個標註者並及時標記和篩選視頻審核內容。 設計並優化影片
Python
Project Management
Strategic Thinking
Employed
Ready to interview
Full-time / Interested in working remotely
4-6 years
National Cheng Kung University
心理所(認知科學所)
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Data science lecturer @Ittraining
2020 ~ Present
Data Scientist 資料科學家_數據分析師
Within one month
HUEY-LONG CHEN 陳惠龍 Kaggle Competitions Expert: https://www.kaggle.com/alanchen1115 Competitions: NLP (自然語言處理): - Silver medal (solo): (Kaggle) The Learning Agency Lab - PII Data Detection: Develop automated techniques to detect and remove PII from educational data. 2024/04/24 - Silver medal (solo): (Kaggle) U.S. Patent Phrase to Phrase Matching: Help Identify Similar Phrases in U.S. Patents, 2022/06/21 Recommendation system (推薦系統): - Silver medal (solo): (Kaggle) OTTO – Multi-Objective Recommender System: Build a
nlp-rasa
recommender system
pytorch tensorflow
Employed
Open to opportunities
Part-time / Interested in working remotely
More than 15 years
Purdue University
School of civil engineering (Stochastic & statistical hydrology)
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Senior Manager @Invenics
2023 ~ Present
Within one month
Sourav Bhattacharya Product Development Leader | Generative AI & LLM Greater London, England, Great Britain [email protected]://www.linkedin.com/in/bhattacharyasourav/ As an accomplished Product Lead, I possess over a decade of experience in spearheading the development and management of innovative software solutions. My expertise lies in steering cross-functional teams towards the delivery of cutting-edge technology products that drive company growth and meet evolving market needs. My track record of success reflects my ability to skillfully lead and motivate teams through complex projects, achieving measurable
Product Development
Product Management
LLM
Employed
Open to opportunities
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10-15 years
Haldia Institute of Technology
Computer Science
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研發工程師 @中國醫藥大學附設醫院 - 人工智慧醫學診斷中心
2020 ~ 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 six months
AI & Machine Learning
Python
tensorflow
Employed
Full-time / Interested in working remotely
6-10 years
國立臺灣大學(博士肄業)
資訊工程學系

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More than one year
Assistant Manager
Taiwan
Professional Background
Current status
Job Search Progress
Professions
Data Scientist, Machine Learning Engineer
Fields of Employment
Work experience
4-6 years
Management
I've had experience in managing 5-10 people
Skills
Python
Pyspark
Natural Language Processing
Data Science
Data Engineering
Docker
Google Cloud Platform
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Positions
Algorithm Engineer/ Data Scientist/ Sr. Project Management
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Full-time
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Print
Ryan.jpg

Ryan Chao

[email protected]  •  0978903016  •  Taipei, Taiwan

Hi, I'm Ryan, my current research interests include natural language processing, data engineering, machine learning and data related applications, and these are also my daily duties.

Experience

PIXNET 

Assistant Manager, Aug 2020 - Sep 2022

  • Lead data team(Aug 2020 - now)
Lead  and manage  data team with 6 members, we are dedicated to deliver insights from data to the company, not only support decision-making for business but also provide tech solutions to our services and products. My contributions includes:
    • Architecture and methodology review for data solutions and various data analytic tasks
    • Translate abstract business problems into solvable engineering components
    • Project planning and management
    • Goal alignment

Advanced  Algorithm Engineer, Oct 2017 - Aug 2020

  • Data streaming system development for near real time user tagging (Jan 2020 - Jul 2020)
    A kubernetes based application aims to link our content delivery system to the online readers according to their real time behaviors.
    • I lead the system architecture design
    • Handle concurrent traffic from over 5M users everyday
    • Leverage google cloud services such as GKE, GAE, and Pub/Sub.
  • General algorithm development in large scale (Oct 2017 - now)
    Deep learning is fascinating, I was a member of "Deep learning 101 Study Group" and learned a lot from there. However, in practical scenarios, it's surprising to see some fundamental algorithms can show us more insights.
    • PySpark dataframe programming
    • Recommendation algorithm design, improved and achieved the best performance at that time 
    • Various classification tasks
    • User profile construction with NLP.
    • Information retrieval based chat bot
  • Data warehousing and ETL management (Feb 2019 - now)
    I created some tools(e.g., airfly) to help us management our data more efficiently.  
    • Based on PySpark
    • Auto DAG generator: automatically resolve and build the task dependencies for our data pipeline
    • Metadata management.
    • More easier to perform data analytics such as EDA, data mining, machine learning tasks, etc.
  • BI platform development (April 2019 - Oct 2019)
    • Leverage Google Dataproc to handle large scale adhoc queries for business team.
    • Provide daily user demographics, metrics and reports with datastudio.
  • Tech lead of our 5th PIXNET HACKATHON (Jan 2018 - Sep 2018)
    • I was in charge of the competition flow design, data preparation, technical support, and so on.
    • For the promotion purpose, I gave a talk about speech recognition at Microsoft Tech Hub and GAN  at Taiwan R User Group

Former work experiences

Zuirens

Computer Vision Engineer, Sep 2016 - Sep 2017
  • Software and hardware integration planning. 
  • Object detection algorithm development based on OpenCV and C++/Python. 
  • Application Implementation based on Qt framework.
Backend Engineer, July 2016 - Sep 2017
  • Media server deployment for live streaming service. 
  • Crawler implementation and management. 
  • Web development planning.

Acuratek

Embedded Application Engineer, May 2015 - Jan 2016

  • POC Applications based on development platforms such as PIC32, nRF52xx, 8051, etc. 
  • Android development based on OTG application.

Mechtronic Integration Engineer, Sep 2014 - Sep 2015

  • 3-axis servo control with X-Y linear guideway installation.
  • Mechatronic system and software integration.
  • Application based on C# programming.

CORMA

Interactive Mechatronic Engineer, Aug 2013 - Aug 2014

  • Motors and sensors control based on Arduino.

Skills


Programming Languages

mainly Python for now (open-minded to other languages if needed)


Frameworks and Tools

PySpark, Docker, Google Cloud Services, Jupyter, Sanic, Fabric, scikit-learn, Tensorflow.


Others

Linux, Emacs

Side Projects


  • airfly: a tool for auto generating Airflow dag file, 2021. [repo]
  • gutt: a tool for auto generating unit test template, 2021. [repo]
  • Spark CodeFight Hackathon, 2017. [repo]
  • OpenCV project for pattern matching and object tracking, 2017 [repo]
  • Conversation retrieval based chit-chat bot, 2017. [repo]
  • Kaggle competitions, ICDM 2015: top 25%, BNP 2016: top 5%. [kaggle info]

Awards & Honors


  • 2017 PyCon speaker, [slide]
  • 2017 HackNTU, Mentor.
  • 2016 PIXNET HACKATHON, "Best A.I. Cloze Award". 

Activities


  • Machine Learning Certification on Coursera, 2015. 
  • Deep learning 101 Study Group, study topic: RNN, 2017 - now. 
  • Spark Taiwan Study Group, 2016 - 2017.

Education


National Cheng Kung University, Taiwan

BS, Mechanical Engineering
Resume
Profile
Ryan.jpg

Ryan Chao

[email protected]  •  0978903016  •  Taipei, Taiwan

Hi, I'm Ryan, my current research interests include natural language processing, data engineering, machine learning and data related applications, and these are also my daily duties.

Experience

PIXNET 

Assistant Manager, Aug 2020 - Sep 2022

  • Lead data team(Aug 2020 - now)
Lead  and manage  data team with 6 members, we are dedicated to deliver insights from data to the company, not only support decision-making for business but also provide tech solutions to our services and products. My contributions includes:
    • Architecture and methodology review for data solutions and various data analytic tasks
    • Translate abstract business problems into solvable engineering components
    • Project planning and management
    • Goal alignment

Advanced  Algorithm Engineer, Oct 2017 - Aug 2020

  • Data streaming system development for near real time user tagging (Jan 2020 - Jul 2020)
    A kubernetes based application aims to link our content delivery system to the online readers according to their real time behaviors.
    • I lead the system architecture design
    • Handle concurrent traffic from over 5M users everyday
    • Leverage google cloud services such as GKE, GAE, and Pub/Sub.
  • General algorithm development in large scale (Oct 2017 - now)
    Deep learning is fascinating, I was a member of "Deep learning 101 Study Group" and learned a lot from there. However, in practical scenarios, it's surprising to see some fundamental algorithms can show us more insights.
    • PySpark dataframe programming
    • Recommendation algorithm design, improved and achieved the best performance at that time 
    • Various classification tasks
    • User profile construction with NLP.
    • Information retrieval based chat bot
  • Data warehousing and ETL management (Feb 2019 - now)
    I created some tools(e.g., airfly) to help us management our data more efficiently.  
    • Based on PySpark
    • Auto DAG generator: automatically resolve and build the task dependencies for our data pipeline
    • Metadata management.
    • More easier to perform data analytics such as EDA, data mining, machine learning tasks, etc.
  • BI platform development (April 2019 - Oct 2019)
    • Leverage Google Dataproc to handle large scale adhoc queries for business team.
    • Provide daily user demographics, metrics and reports with datastudio.
  • Tech lead of our 5th PIXNET HACKATHON (Jan 2018 - Sep 2018)
    • I was in charge of the competition flow design, data preparation, technical support, and so on.
    • For the promotion purpose, I gave a talk about speech recognition at Microsoft Tech Hub and GAN  at Taiwan R User Group

Former work experiences

Zuirens

Computer Vision Engineer, Sep 2016 - Sep 2017
  • Software and hardware integration planning. 
  • Object detection algorithm development based on OpenCV and C++/Python. 
  • Application Implementation based on Qt framework.
Backend Engineer, July 2016 - Sep 2017
  • Media server deployment for live streaming service. 
  • Crawler implementation and management. 
  • Web development planning.

Acuratek

Embedded Application Engineer, May 2015 - Jan 2016

  • POC Applications based on development platforms such as PIC32, nRF52xx, 8051, etc. 
  • Android development based on OTG application.

Mechtronic Integration Engineer, Sep 2014 - Sep 2015

  • 3-axis servo control with X-Y linear guideway installation.
  • Mechatronic system and software integration.
  • Application based on C# programming.

CORMA

Interactive Mechatronic Engineer, Aug 2013 - Aug 2014

  • Motors and sensors control based on Arduino.

Skills


Programming Languages

mainly Python for now (open-minded to other languages if needed)


Frameworks and Tools

PySpark, Docker, Google Cloud Services, Jupyter, Sanic, Fabric, scikit-learn, Tensorflow.


Others

Linux, Emacs

Side Projects


  • airfly: a tool for auto generating Airflow dag file, 2021. [repo]
  • gutt: a tool for auto generating unit test template, 2021. [repo]
  • Spark CodeFight Hackathon, 2017. [repo]
  • OpenCV project for pattern matching and object tracking, 2017 [repo]
  • Conversation retrieval based chit-chat bot, 2017. [repo]
  • Kaggle competitions, ICDM 2015: top 25%, BNP 2016: top 5%. [kaggle info]

Awards & Honors


  • 2017 PyCon speaker, [slide]
  • 2017 HackNTU, Mentor.
  • 2016 PIXNET HACKATHON, "Best A.I. Cloze Award". 

Activities


  • Machine Learning Certification on Coursera, 2015. 
  • Deep learning 101 Study Group, study topic: RNN, 2017 - now. 
  • Spark Taiwan Study Group, 2016 - 2017.

Education


National Cheng Kung University, Taiwan

BS, Mechanical Engineering