搜寻
进阶搜寻
On
Cake 找人才
曾任
Backend Software Engineer @格拉墨科技有限公司2022 ~ 2024
・
Software Engineer
一個月內
SQL queries to enhance processing speed and efficiency. • Streamlined the CI process to enable automated Git merge operation. • Developed a binary search-based logger to improve large file download speed. • Automated operational workflows by creating key scripts in Java. National Taiwan Normal University Graduate Student SeptAug• Natural Language Processing (NLP) Research Project: Focused on sentiment analysis to automatically identify positive or negative sentiments from user reviews. • Deep Learning Model Application: Utilized Convolutional Neural Network (CNN) architecture to enhance the accuracy of sentiment classification. • Word Embedding Techniques: Conducted in-depth research on word embedding techniques
待业中
・
正在积极求职中
Taiwan
全职 / 对远端工作有兴趣
4 到 6 年
國立臺灣師範大學 National Taiwan Normal University
・
Computer Science & Information Engineering
Senior Data Scientist - Principal Associate @Capital One2022 ~ 2024
・
Data Scientist, Data Analyst, Machine Learning Engineer
一個月內
曲培文 數據科學家 擁有五年以上數據科學及機器學習經驗 ， 曾於美國頂尖金融機構以Python開發與部署多項機器學習模型，並領導多項跨部門專案，提供 不同單位 數據驅動的解決方案 ，以優化公司業務流程並降低風險 。 技能: Python, SQL, AWS, Git, Tableau, Agile 語言: 英
服兵役中
・
正在积极求职中
United States・Taiwan・South Korea
全职 / 对远端工作有兴趣
4 到 6 年
University of Maryland - Robert H. Smith School of Business
・
business analytics
曾任
資深軟體研發工程師 @緯創資通股份有限公司2019 ~ 2023
・
軟體工程師
一個月內
improving insights delivery speed by 20%. - Designed a high-performance data warehouse on AWS, improving cross-team data accessibility and reducing query times by 35%. EDUCATION National Taipei University of Technology • Master’s Degree in Electronic Engineering MaySep 2019 | Taipei, Taiwan • Specialized in developing deep learning models for Natural Language Processing (NLP). • Developed classification systems for speech/audio using deep learning techniques. • Conducted research on image classification and recognition through deep learning methodologies. CERTIFICATIONS • Google IT Automation with Python, Coursera - FebPATENT • ABNORMAL SOUND DETECTION METHOD AND APPARATUS (USA1) - FebSKILLS Programming & Frameworks : Python, TensorFlow, Keras
待业中
・
正在积极求职中
Taiwan
全职 / 对远端工作有兴趣
4 到 6 年
台北科技大學
・
機器學習, 訊號處理
曾任
Full Stack Web Developer @Chunk Labs2018 ~ 现在
・
DevOps Engineer, Site Reliability Engineer , Full Stack Web Developer , Wordpress Developer
一個月內
Muneeb Afzal - Full Stack Developer / Associate DevOps Taiwan Gold Employment Card (ARC /Work permit ) Taipei, Taiwan || [email protected] As an experienced Full Stack Web Developer and SEO specialist, I have a strong track record of creating, managing, and optimizing websites and e-commerce stores. With over 9 years of experience in web development, I possess in-depth knowledge of various web technologies, including PHP, Wordpress, Python, Django ,FastAPi , React JS NextJS, Redux, Routes etc, VueJS, HTML/CSS, Javascript, and APIs. I have proven experience in project management, team leadership, and
待业中
・
正在积极求职中
Taiwan・Pakistan
全职 / 对远端工作有兴趣
4 到 6 年
AlNafi UK
・
Computer Science, Elastic Search, Deep dive Linux, Cyber Security, System Administration, RHEL and Ubuntu, System Operations, Python , Flask , Selenium, ISO 270001, Vulnerability Assessment,, SCADA/ ICS security ,, Calculus , Algebra ,, Machine Learning Model Development and Deployment, Computer Vision , Natural language Processing, Docker, Ansible, Vagrant, Gradle , Terraform, CI/CD CircleCI , Github , jenkins,, Kubernetes Cloud and App Development,, Hands On Labs for All courses, AWS DevOps, Azure DevOps
商業分析師 @凱基商業銀行股份有限公司2021 ~ 现在
・
Data Analyst、Data Engineer、Data Scientist、Customer Experience Analyst
一個月內
hours daily for medical professionals. Calibrated and deployed a machine learning regression model for waveform predictions, enhancing accuracy for 500+ blood pressure monitors. Research Assistant Department of Computer Science, NCCU • August 2019–July 2020 Conducted opinion mining on 2,500 wine reviews using Transformer-based pre-trained language models. Delivered NLP coursework guidance to over 70 students as a Teaching Assistant. Account Manager Leo Burnett Taiwan • February 2017–May 2019 Orchestrated rebranding strategies for Chia Shin Cement Group, resulting in the only successful brand declaration campaign in five years. Localized branding materials and executed
就职中
・
目前会考虑了解新的机会
Taiwan
全职 / 对远端工作有兴趣
4 到 6 年
國立政治大學（National Chengchi University）
・
數位內容
Aircraft Weight & Balance Engineer @漢翔2019 ~ 现在
・
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
一個月內
就职中
・
目前会考虑了解新的机会
Taiwan
全职 / 对远端工作有兴趣
6 到 10 年
National Chung Hsing University
・
Master's Program in Artificial Intilligence and Data Science曾任
Senior Software Engineer @Foxit Software Inc.2021 ~ 2024
・
Software Engineer / Backend Engineer
一個月內
待业中
・
目前会考虑了解新的机会
Taiwan
全职 / 对远端工作有兴趣
6 到 10 年
National United University
・
Department of Electronic Engineering
Android Team Lead @104 Corporation2018 ~ 现在
・
Senior Software Engineer, Principal Software Engineer, Engineering Manager
兩個月內
future organizational growth - Successfully retained a 4.6-star user rating and boosted job application rates by 10%. - Collaborated with the product owner, UI/UX designer, and sales department to design the AD system. • AI Implementation: Created an AI tool to convert UI test cases from natural language into UiAutomator2 scripts, seamlessly integrating them into the CICD process. This resulted in a 90% acceleration UiAutomator2 test case generation. • Technology Introduction: - Flutter: Developed an in-house App Dashboard to consolidate Android/iOS/backend CICD build statuses and test report outcomes. Single-handedly
就职中
・
目前会考虑了解新的机会
Taiwan
全职 / 对远端工作有兴趣
15 年以上
UNSW
・
Computer software, network and security engineering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
National Tsing Hua University
・
Data Mining, Database System
Web Developer @Docbyte2023 ~ 现在
・
web developer
一個月內
component libraries with Angular, Typescript, React, and Python. Gent, 9000, [email protected] LinkedIn GitHub Work Experience JanNov 2024 Web Developer - Docbyte Create and maintain configurable, reusable component libraries and write reliable testing code in Angular , Jest and Jasmine framework . Maintain and optimize the process of natural language data extraction with Python and AWS . Intelligent Document Processing - A platform to classify and extract data from documents received from different channels, such as E-mail, Paper, Forms, etc. with AI natural language processing. Contribution : PDF manipulation module, auto text complete module with bounding box
就职中
・
目前没有兴趣寻找新的机会
Belgium
全职 / 对远端工作有兴趣
4 到 6 年
National Taipei University of Technology
・
Computer Science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
专业背景
目前状态
求职阶段
专业
数据科学家, 机器学习工程师
产业
工作年资
4 到 6 年
管理经历
我有管理 5～10 人的经验
技能
语言能力
求职偏好
希望获得的职位
Algorithm Engineer/ Data Scientist/ Sr. Project Management
预期工作模式
全职
期望的工作地点
远端工作意愿
我只想远端工作
接案服务
学历
学校
主修科系
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
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.
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
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.
- Leverage Google Dataproc to handle large scale adhoc queries for business team.
- Provide daily user demographics, metrics and reports with datastudio.
- 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.
- 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
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
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.
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
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.
- Leverage Google Dataproc to handle large scale adhoc queries for business team.
- Provide daily user demographics, metrics and reports with datastudio.
- 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.
- 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