- Jobs
ResumeCreate your job-winning resume using our free resume builder.
PortfolioShowcase your skills and projects with a professional portfolio.ResumeCreate your job-winning resume using our free resume builder.Resume BuilderMake a resume for free.Resume TemplatesAccess our extensive library of professional & ready-to-use templates.Resume ExamplesGet inspired by real resume examples to create your own.Occupation GuideAccess resume writing guides tailored for different professions.Resume HelpGet expert advice on all things resume from our team of recruitment specialists.- ResourcesSuccess StoriesBusiness ExcellenceAbout CakeResumeFeatured Reads
- Hire
- Download our App
CakeResume Talent Search
Advanced filters
On
AI Smart Matching
On
No matches found.
4-6 years
6-10 years
10-15 years
More than 15 years
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
李仕航 Sean Lee About me • Capable in multiple programming languages, such as Python, Java, C#, etc. •With mature database management skills, including SQL and NoSQL DB • Experience with development tools, like Visual studio, Azure, Git, Gira •With knowledge of web development, including HTML, CSS, ASP.NET, Javascript, React.js • With AI related knowledge, including NLP, machine learning and data manipulation •Be able to pick up new skills and stay updated of emerging technologies Taipei, Taiwan Contact Email: [email protected] Mobile:LinkedIn: https://www.linkedin.com/in
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
Past
Career transition @Career Break2024 ~ 2024
・
NLP Engineer / Data Scientist / Machine Learning Engineer
Within one month
Unemployed
・
Ready to interview
Full-time / Interested in working remotely
4-6 years
National Chengchi University
・
資訊科學系
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
員, 2021 科技部計畫 - 運用對話式智慧團隊教學系統融入數學幾何閱讀教學與成效分析, 諮詢委員, 2019 ~ 2022 專長 AI 研究領域 影像 自然語言 語音 數據分析 Machine Learning XGBoost、SVM、Knn、k-means、fuzzy c-means等 Deep learning（Transformer、CNN、RNN、LSTM 等） Transfer learning（BERT、GPT、YOLO、ResNet等） Self-Supervised Learning Generative Adversarial Network Reinforcement learning Programming Python Pytorch Tensorflow Keras OpenCV Matlab
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The Most Lightweight and Effective Recruiting Plan
Search resumes and take the initiative to contact job applicants for higher recruiting efficiency. The Choice of Hundreds of Companies.
- Browse all search results
- Unlimited access to start new conversations
- Resumes accessible for only paid companies
- View users’ email address & phone numbers
Search Tips
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
Only public resumes are available with the free plan.
Upgrade to an advanced plan to view all search results including tens of thousands of resumes exclusive on CakeResume.
Definition of Reputation Credits
Technical Skills
Specialized knowledge and expertise within the profession (e.g. familiar with SEO and use of related tools).
Problem-Solving
Ability to identify, analyze, and prepare solutions to problems.
Adaptability
Ability to navigate unexpected situations; and keep up with shifting priorities, projects, clients, and technology.
Communication
Ability to convey information effectively and is willing to give and receive feedback.
Time Management
Ability to prioritize tasks based on importance; and have them completed within the assigned timeline.
Teamwork
Ability to work cooperatively, communicate effectively, and anticipate each other's demands, resulting in coordinated collective action.
Leadership
Ability to coach, guide, and inspire a team to achieve a shared goal or outcome effectively.
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
Languages
Job search preferences
Positions
Algorithm Engineer/ Data Scientist/ Sr. Project Management
Job types
Full-time
Locations
Remote
Remote Only
Freelance
Educations
School
Major
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