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4-6 years
6-10 years
10-15 years
More than 15 years
Visual Designer @OneDegree2022 ~ Present
・
visual designer
Within one month
Excellence facebook page project reached the highest engagement, comments and likes since founded under my design. Associate Creative Director Lightup Studio - DAYDREAM CO., LTD. • JanuaryPresent Founded Lightup Studio with two other peers inLed a team of 13 that includes frond end/ back end engineer, digital marketing, project planner, copywriter, visual designer and photographer. Responsible for business development, account management, visual strategy consult, project planning, management and execution. Undertook projects that includes AKI art gallery website redesign, Daikin product packaging design, Hoan Insurance Representative event design, Knomo London store design, Taiwan Society of Heating and
Employed
・
Not open to opportunities
Full-time / Interested in working remotely
6-10 years
實踐大學 Shih Chien University
・
資訊模擬與設計學
Program Manager @MarketOne International2017 ~ Present
・
Community Manager
More than one year
Employed
Part-time / Remote Only
6-10 years
Nihon University
・
Bachelor's degree, College of LawInfortrend @Solution Research2011 ~ 2012
・
Regional Platform Lead
More than one year
Not open to opportunities
Full-time / Remote Only
6-10 years
National Chiao Tung University
・
Computer Science
Past
Marketing Manager & Project Lead @MNA, The Management of New Arts. 牛耳藝術2022 ~ 2024
・
PM/產品經理/專案管理／行銷營運企劃
Within one month
engagement within a month, and the addition of 1,000 fans in a single day through on-site events. Skills Project planning and management Data analysis and optimization Certificate Google analysis Google ads IELTS: 7.5 Language Chinese (Native) English (Advanced level) 工作經歷 Marketing Manager & Project Lead • The Management of New Arts. MayMarchLed a dynamic team of 6 professionals in marketing and design, fostering collaboration and successfully launched 6 campaigns in 2 months. Planned and executed project development strategies, optimizing marketing performance and achieving a 250% increase in sales. Facilitated seamless communication
Unemployed
・
Ready to interview
Full-time / Interested in working remotely
4-6 years
University of Leeds, United Kingdom
・
Advertising and MarketingPast
設計 @鳳嬌催化室 Fenko Catalysis Chamber2019 ~ 2023
・
Garphic Designer / Space Planner / Visual Designer
Within two months
Unemployed
・
Ready to interview
Full-time / Interested in working remotely
6-10 years
國立政治大學 National ChengChi University
・
傳播學院廣告學系, 東南亞語言學程（泰語）
Director of Integrated Marketing Center @財團法人人工智慧科技基金會2023 ~ Present
・
PM/產品經理/專案管理
Within one month
. MarchMarch 2023 Business proposals, software project planning and management Understood customer needs, provided software development plans based on our core technologies, and worked with other departments to ensure projects went smoothly. Product Manager • OSENSE TECHNOLOGY CO., LTD. OctoberApril 2022 Hardware product development, launch, and subsequent sales planning Responsible for hardware and software product development, including market research, defining user needs and product features, coordinating with industrial design, and managing the project timeline. Also did product launch and marketing planning like branding, content, and partnerships. Project Manager • OSENSE TECHNOLOGY CO., LTD. AugustOctober 2020
Employed
・
Open to opportunities
Full-time / Interested in working remotely
10-15 years
Shih Chien University
・
企業管理系
助理管理師 @財團法人國際合作發展基金會2019 ~ Present
・
Within one month
. 協助安排客戶報告書查證 4. 協助安排客戶教育訓練事宜 5. 合作窗口溝通與聯繫 6. 計畫(專案)推廣，包含臉書宣傳 學歷中山醫學大學 營養所高雄醫學大學 公共衛生 技能 Word Microsoft Office Communication PowerPoint Excel Project Planning Project Management Project Implementation Budgeting Budget Management ESG report editing 語言 Chinese — 專業 English — 進階
Full-time / Interested in working remotely
4-6 years
中山醫學大學
・
營養所
Within two months
歷 2013~2017 國立臺北藝術大學 舞蹈學系-學士 主修芭蕾及現代 、藝術教育、藝術行政、教育學程。 專業技能 語言能力 Microsoft Office Logic Pro Finale Keynote Project Management Project Planning Opreation management Chinese English Taiwanese 工作經歷 Aug財團法人台灣創藝產業發展基金會-執行秘書。 台北生技園區多功能廳-場館舞台監督。 基
Unemployed
Full-time / Interested in working remotely
4-6 years
台北藝術大學舞蹈學系
・
舞蹈表演
Senior Staff Backend Engineer / Backend Team Lead @WeMo Scooter2019 ~ 2022
・
工程師
Within two months
team management and lean startup process. Excellent communication abilities and enjoy being part of the team. Self-motivated professional with systematic problem solving techniques, highly accountable and work autonomously. Skills Javascript, Typescript, NodeJS, PostgreSQL, API Design, Docker, Terraform, CircleCI, Google Cloud Platform, AWS, Git, Scrum, Project Planning, Project Management, Cross-team Collaboration. Experiences WeMo Scooter - Senior Staff Backend Engineer / Backend Team Lead https://wemoscooter.com Participate in substantial feature developments. Foster discussions both inside and between teams to make projects success. Design and guide development process. Including feature planning
Not open to opportunities
Full-time / Interested in working remotely
6-10 years
National Taiwan University
・
Robotics
Offline
Offline
Algorithm Engineer/ Data Scientist/ Sr. Project Management
More than one year
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, OctAug 2020 Data streaming system development for near real time user tagging (JanJulA 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
Full-time / Remote Only
4-6 years
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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.
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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
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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