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4-6 years
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Senior sales PM @Inventec 英業達股份有限公司2020 ~ Present
・
Project manager
Within one month
product specifications Evaluated BOM costs to identify cost-saving opportunities. Worked closely with counterparts from different regions to review product certifications Analyzed market trends, competitive landscape, and demand forecasts Organized Computex participation Skills , Activities and Achievement Office Skills: Microsoft Office, Excel, Word, PowerPoint; Photoshop; Enterprise Resource Planning (ERP); SAP; Languages : Mandarin (Native); English (Proficient); TOEIC : 835 Melbourne University(2018): Hawthorn-Melbourne English language courses ,and teach Australian children Mandarin INVENTEC Best Employee Award 2023 Accomplished Projects HP Split x2 HP EliteBook 820/840/850 G3 HP EliteBook 820/840/850 G4 HP ZBook 15w G3
Employed
・
Ready to interview
Full-time / Interested in working remotely
6-10 years
National Central University
・
Business Administration, Enterprise Resource Planning (ERP) 
Past
Senior QA engineer @DeepHow2023 ~ Present
・
QA automation engineer / Software development engineer in test
Within one month
Unemployed
・
Ready to interview
Full-time / Interested in working remotely
6-10 years
國立中山大學 National Sun Yat-Sen University
・
應用數學系 統計組Sr. Product Designer @portto 門戶科技 | Blocto2022 ~ Present
・
Product Designer (UI/UX)
Within one month
Employed
・
Ready to interview
Full-time / Interested in working remotely
4-6 years
Shu-Te University
・
Visual communication design
Past
Chief Technology Officer @Alienkingdom2020 ~ Present
・
後端，全端，技術經理
Within one month
. - Project feasibility and risk assessment. - Project schedule adjustment and manpower allocation. Hsinchu County, Taiwan 工作經歷 Chief Technology Officer • Alienkingdom 七月Present Leading development of Alienkingdom products, including : 1. Capoo Pals : - A windows application that can raise many pets on your desktop. R&R: - The entire product's architecture and specifications are established, including the client-side, backend server, and sales webpage. - Responsible for the implementation of the key components on the client-side, leading the development team for the server, and collaborating with the web development team to achieve the
Unemployed
・
Ready to interview
Full-time / Interested in working remotely
10-15 years
National Cheng Kung University
・
Computer GraphicsPast
Streetscaper: Taiwan Freelance Cultural Researcher @Kantar Consulting 2019 ~ Present
・
資深視覺設計師 / 網頁設計師 / 設計主管
Within one month
Unemployed
・
Ready to interview
Full-time / Interested in working remotely
10-15 years
London College of Fashion
・
Fashion Design Management
IT Infrastructure @暫時不提供2022 ~ Present
・
IT Infrastructure
Within one month
Alex Lee IT Infrastructure Enginee r, with responsibilities including Kubernetes maintenance and deployment , CI/CD(ArgoCD, Gitlab) , and tasks related to Infrastructure as Code (Terraform ). In addition, I am also responsible for developing Telegram chatbot project(Python-telegram-bot) . I love to communicating with others and giving them some comments and feedbacks and solving problems together. I am willing to learn new things, maintain a good relationship with others, make the company run stable. Email : laker[email protected] Phone :Work Experience Information Technology Infrastructure Engineer • JuneNow Mainly responsible for the establishment and operation
Employed
・
Open to opportunities
Full-time / Interested in working remotely
4-6 years
東海大學 Tunghai University
・
Computer Science Information Engineering
Past
Senior DevOps Engineer @Gank Global2023 ~ Present
・
DevOps Engineer
Within one month
An accomplished DevOps Engineer , I specialize in container management with Docker and Kubernetes , and CI/CD automation using Jenkins, Github, Gitlab and ArgoCD . My expertise spans cloud infrastructure management across GCP, AWS, Azure, Alicloud and DigitalOcean , coupled with programming skills in languages like JavaScript, Python, and Golang . Proficient in database technologies such as RDS Database and SaaS Database , I excel in optimizing IT operations and supporting software development projects. I am committed to continuous learning and adept at leveraging technology to solve complex problems . With strong communication skills in both Indonesian and English , I am
Unemployed
・
Open to opportunities
Full-time / Remote Only
4-6 years
Politeknik Negeri Madiun (PNM)
・
Teknik Komputer Kontrol
Field Artillery Officer @United States Army2018 ~ Present
・
Personal Trainer
Within one month
to fulfill demands of their military occupation. • Designed and implemented functional training plans, enforced body composition standards, and provided advise on appropriate nutrition plans. EducationNational Academy of Sports and Medicine (NASM) Certified Personal Trainer (NASM-CPTUniversity of California, Los Angeles (UCLA) M.A. Geospatial Information Systems Skills Functional Fitness Tactical Fitness Programs Martial Arts Strength and Conditioning (Muay Thai) Military Induction Exercises Administrative Applications Microsoft Office (Word, Excel, PowerPoint) Google Drive (Docs, Sheets, Slides) Language English Tagalog Reference Captain Bernie Koo Commanding Officer Phone:| Email: bernie.r.koo.mil@army.mil
Employed
・
Open to opportunities
Full-time / Interested in working remotely
4-6 years
National Academy of Sports and Medicine (NASM)
・
Certified Personal Trainer (NASM-CPT)
Senior Manager @Invenics2023 ~ Present
・
Within one month
Technical Architect • Invenics NovemberApril 2023 I lead innovation and product development for R&D Tax claims process. I provide technical expertise, mentor teams, and manage project implementation, releases, and risks. I engage stakeholders, identify strategic initiatives for growth, and build relationships with internal and external partners. Technology R&D Specialist • Accenture DecemberAugust 2020 As a member of the Software Engineering R&D group, my primary role is to lead an initiative that executes an R&D agenda, addressing specific research questions through a portfolio of research projects. These projects aim to tackle distinct technology and business
Employed
・
Open to opportunities
Full-time / Not interested in working remotely
10-15 years
Haldia Institute of Technology
・
Computer Science
DevOps @nodereal2022 ~ Present
・
SRE /DevOps engineer
Within one month
YUECHENG MA Yuan Ze University B.CSEDevOps /Platform /SRE Engineer [email protected] Professional The main development language is golang, familiar with cloud-native app design patterns on k8s and containerized tech stack. Work Experience MayPresent Senior DevOps engineer NodeReal Web3 marketplace Deliver 50+ blockchain RPC services on EKS( Kubernetes ) over 200 node cross-region multi-cluster and 1 Billon+ daily API requests scale. High availability chain service provider fordeveloper Improve the utilization of the Kubernetes nodes to save costs by approximately 30% Modularize the CI/CD workflow and generic
Employed
・
Not open to opportunities
Full-time / Interested in working remotely
6-10 years
元智大學 Yuan Ze University
・
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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