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資訊工程師 @六點資訊科技有限公司2023 ~ 2024
・
軟體工程師
Within one month
# .NET Core, port relevant functionalities and data, and validate the correctness of the new system. 3. Due to customer adjustments in checkout and member bonus calculation formulas, recalculate existing database data. Roll-out updates in batches of 5000 records at a time without affecting online services. 4. Migrate a large number of static image CDN hosts by simplifying the process through architecture replacement. 5. Practice and explore system architecture design to enhance flexibility in programming. 6. Emergency troubleshooting of system anomalies, coordinate team manpower allocation and...
Unemployed
・
Ready to interview
Full-time / Interested in working remotely
6-10 years
致理科技大學 Chihlee University of Technology
・
Information Management
Technical Support Engineer @Microsoft2022 ~ Present
・
Software Engineer / Backend Engineer
Within one month
Employed
・
Open to opportunities
Full-time / Interested in working remotely
4-6 years
龍華科技大學
・
Multimedia & Game Science
Project Manager & Lead RD engineer @Arcelik2015 ~ 2023
・
Project Manager、PM、專案經理、Technical program manager、Software project manager
Within one month
Norman Lin Project manager and senior R&D engineer 11+ years of experience as a Project Leader: - Project Execution: Proven records of successfully managing the entire lifecycle of 8+ projects from NPI (New Product Introduction) to market launch. - Project Planning: Establish task force teams and develop project plans across various fields, including consumer electronics, medical devices, AI, and software platforms. - Team Management: Rich experience in cross-regional and cross-functional teamwork with multiple sites internal teams and IC suppliers, OEMs/ODMs and solution providers. Hands on knowledge of software programing and system architecture designing
Employed
・
Not open to opportunities
Full-time / Interested in working remotely
10-15 years
California State University-San Bernardino
・
Computer ScienceNot open to opportunities
Full-time / Interested in working remotely
6-10 years
National Taipei University of Education
・
Digital Technology of Design
SDE3 @CARS242023 ~ Present
・
SDE 2
Within six months
in Java, focusing on optimizing the buyer experience for the UAE market at Cars 24. My primary goal is to ensure the backend infrastructure seamlessly caters to the unique demands and preferences of our UAE-based customers, while maintaining scalability and security. Roles & Responsibilities: 1. Buyer-centric System Architecture & Design. 2. Development & Code Quality for Buyer Features. 3. API Management for Buyer-side Applications. 4. Database Management & Localization. 5. Performance Optimization for UAE Traffiffiffic. Software Engineer 3 • Walmart Global Tech India JanuaryMay 2023 | Bengaluru, India During my tenure
Employed
Full-time / Interested in working remotely
4-6 years
AJAY KUMAR GARG ENGINEERING COLLEGE, GHAZIABAD
・
Computer ScienceFull-time / Interested in working remotely
4-6 years
國立中興大學
・
水土保持學系
iOS工程師 @INNOTECH2020 ~ Present
・
iOS Developer
Within one month
ReactJS Dashboard server on AWS serverless on NodeJS Docker base on Tomcat server and ReactJS [iOS] BLE framework connect to bluetooth device Vuforia SDK implement iOS device Streaming video for Wowza streaming engine iOS voting app [Android & Unity] Unity plugin for android AR glass 3D model development Unity 3D animation [Architecture] iOS enterprise account for project system architecture design Auto deploy with iOS/Android system architecture Whalame water algorithm design 學歷 國立臺灣科技大學, 碩士學位, 電子工程系, 2013 ~ 2015 中原大學, 學士學位
Employed
Full-time / Interested in working remotely
4-6 years
國立臺灣科技大學
・
電子工程系
Cloud Architect Lead @BeeInventor2021 ~ Present
・
Sr. Backend Engineer, Sr. Software Engineer
More than one year
Ben Hu (胡學賓) - Sr. Backend Engineer An innovative software engineer working on large scale IoT applications, including unified IoT platform, industrial automation, smart city and smart construction solutions. National Chengchi University — Master's degree, Management Information Systems Research Topic: Design and implementation of the communication architecture for IoT & Big data platform Taipei City, Taiwan [email protected] |Skills Summary 5+ years of experience in backend development, including system architecture design, relational database design, programming and performance tuning. 5+ years of solid experience in Node.js (TypeScript / NestJS framework /
Employed
・
Not open to opportunities
Full-time / Not interested in working remotely
4-6 years
National Chengchi University
・
Management Information Systems
Offline
Offline
Algorithm Engineer/ Data Scientist/ Sr. Project Management
More than one year
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 concurrent traffic from over 5M users everyday Leverage google cloud services such as
Full-time / Remote Only
4-6 years
tech lead @aurora tech
資深系統分析師
More than one year
systems. Develop new architecture for high frequency trading. Risk-management detection mechanism for existing trading systems. Refactor trading system for more c lean architecture. Co-work with trader and machine learning engineer to design and implement new strategies for trading systems. Use Amason EKS for system devops. Use Cloudwatch and Slack for system warning mechanism and setup strict Risk-management rule for portfolio management. Recently become back-end leader Results CTA Trading System Maker strategy Trading System Hedger strategy Trading System High-Frequency Trading System Report System Backtest & Hypertune for Trading System System
Employed
Full-time / Interested in working remotely
4-6 years
國立台灣大學
・
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Work experience
4-6 years
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Job search preferences
Positions
Algorithm Engineer/ Data Scientist/ Sr. Project Management
Job types
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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