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4-6 years
6-10 years
10-15 years
More than 15 years
National Taiwan University
Past
Data Engineer @BUBBLEYE | We're hiring!2021 ~ 2022
・
Software Enginer
Within two months
Unemployed
・
Ready to interview
Full-time / Interested in working remotely
4-6 years
National Taiwan University
・
電機工程學系
Product Manager @SPIN.FASHION, a lablaco company2021 ~ Present
・
Product Manager
Within two months
Wenchin Chuang Product Manager with a software engineering background dedicated to building Earth-friendly products Product Manager Remote (EU / Asia) [email protected] Work Experience Climatebase Fellow, Climatebase —present (Remote) - Participating in Cohort 4 of the Climatebase Fellowship. Product Manager & Founding Partner, lablaco —present (Remote) - Drove the conceptualization, development, and launch of the AR try-on feature in SPIN, a web3 retail marketplace. Collaborated closely with 3D designers to digitize garments into Phygital NFTs at Digital Fashion Week NYC, London, and Paris inGuided the successful execution of a meta-retail exhibition at Galeries
Employed
・
Open to opportunities
Full-time / Interested in working remotely
4-6 years
National Taiwan University
・
Finance Bachelor
Principal Engineer, Data Engineering @KKCompany2023 ~ Present
・
Backend Engineer, Data Engineer, MLOps Engineer
Within one month
● At least 8 years of experience in data analysis, pipeline design and development, and tool building as a team member. ● In-depth knowledge of the Spark and Hadoop ecosystems, including Hadoop, HDFS, HBase, and more. ● Strong skills in designing and developing Big Data services on AWS and GCP. ● Extensive expertise in developing generic distributed systems, streaming processing, machine learning pipelines, and continuously improving ML models. Senior Data Engineer at Paktor x 17LIVE| AWS Big Data Specialist | Data Architect Singapore / Hong Kong / Taiwan [email protected] https
Employed
・
Open to opportunities
Full-time / Interested in working remotely
10-15 years
National Taiwan University
・
EMBA Programs, Business Administration, Accounting, Finance and International Business.Staff Backend Engineer @RE:DREAMER Taiwan Co. Ltd2021 ~ Present
・
Software Engineer
Within one month
Employed
・
Open to opportunities
Full-time / Interested in working remotely
6-10 years
National Taiwan University
・
Master of Science M.S. Computer Science
Analyst @Business Next Media Corp.2017 ~ 2019
・
Data Analyst、Data Engineer、Data Scientist、Customer Experience Analyst
Within one month
solution integrating with GraphDB, Chatbot & Avatar. Morrison Express Corp., Data Engineer, Jan 2021 ~ Jul 2022 • Orchestrated data pipeline, ETL process and API to connect diverse data systems and facilitate data migration. • Full accountability for overseeing data architecture and services spanning 70 offices across five continents. • Integrated AWS cloud services, optimizing applications with S3, Lambda, SQS, SNS, and ECS. ASUSTeK Computer Inc., Digital Analyst, Sep 2019 ~ Jan 2021 • Established data tracking and data standards for ASUS online products & social platforms in 70 countries. • Employed ML algorithms to analyze consumer behavior and data visualization.
Employed
Full-time / Interested in working remotely
4-6 years
National Taiwan University
・
Psychology
Offline
Offline
Software Engineer @SmartNews2019 ~ Present
・
數據分析 / 資料工程
Within one month
Not using the cutting edge technologies in the work, but it can be swiftly brought up to speed. (it's my master degree). Experience Data Infra Engineer, Moneytree, Novpresent (~3y) Senior Software Engineer I, Nov~ Software Engineer II, ~ NovBuilt a Data Lakehouse solution on a full cloud environment (AWS). Involved with 3 new data products which made initial revenue stream for a new team with only 2 engineers. Lead a cross team initiative to democratize company crucial KPI as our dog food for business insight. Enable unit test on Spark locally, integrated with CI pipeline
Employed
・
Not open to opportunities
Full-time / Interested in working remotely
4-6 years
National Taiwan University
・
Computer Science
Backend Engineer @Cooby2022 ~ 2023
・
Within one month
歷 Backend Engineer • Cooby 四月八月 2023 | Taipei, Taiwan I am a backend engineer with a track record of designing and implementing robust, scalable, and cost-effective infrastructure solutions for web applications. My core competencies include: - AWS Infrastructure: Successfully migrated the Cooby backend infrastructure from Heroku to AWS, establishing a unified management system using Terraform for streamlined administration. Designed a highly available and scalable architecture utilizing AWS ECS to ensure optimal performance and reliability. Achieved a 75.5% reduction in overall costs on AWS. - Payment Processing: Integrated Stripe to enable payment processing, including
Employed
・
Not open to opportunities
Full-time / Interested in working remotely
4-6 years
National Taiwan University
・
Communication Engineering
R&D Section Lead @興創知能股份有限公司(ThinkTron Ltd.)2018 ~ Present
・
Within one month
周立生 Li-Sheng Chou ThinkTron Ltd. R&D Section Lead Taipei City, Taiwan [email protected] Full-Stack / Containerization / AWS / GIS / System Analyst ISO27001:2013 Lead Auditor / Tech Manager / Project Management With over 6 years of experience in the field of disaster prevention, I have gradually transitioned into information development and architecture design . I have also served as an information development supervisor for 3 years, leading teams in the successful completion of multiple information systems for governments. My expertise includes full stack development and integration , containerization (Docker
Full-time / Interested in working remotely
4-6 years
National Taiwan University
・
GeoTechnical EngineeringEmployed
・
Not open to opportunities
Full-time / Not interested in working remotely
6-10 years
National Taiwan University
・
資訊工程
Software Engineer @Netskope2023 ~ Present
・
Senior Software Engineer
Within one month
Python Pandas Using ElasticSearch and Kibana for data tagging, aggregating and alerting Building a version control platform by Python Django for threat experts to easily trace their experiments and results Being in infra team of TrendMicro XDR endpoint data lake Maintaining 20+ Kubernetes clusters with thousands of nodes across AWS & Azure . Processing Data flow of GB/second level. Monitoring k8s, applications, databases by fluentd + prometheus + Grafana and deliver alerts accordingly Use Helm to manage plenty of Kubernetes plugins for databases, monitoring, networking, auotoscaling... etc. Managed authentication using AWS IAM/
Employed
・
Not open to opportunities
Full-time / Interested in working remotely
4-6 years
National Taiwan University
・
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Current status
Employed
Job Search Progress
Not open to opportunities
Professions
Fields of Employment
Work experience
4-6 years
Management
Skills
Languages
Chinese
・
Native or Bilingual
English
・
Professional
Japanese
・
Intermediate
Job search preferences
Positions
數據分析 / 資料工程
Job types
Full-time
Locations
Japan, Taiwan
Remote
Interested in working remotely
Freelance
Educations
School
National Taiwan University
Major
Computer Science
Connor Hsu
Curious about data and real world, building product to solve problem, making machine learning into product, writing is my interest.
Summary
- 9 years experience of large scale AI product building, and is capable of building product from scratch.
- Extensive problem solving experience for data science/engineering, and familiar with transferring real problem into requirements and solution planning.
- A well-rounded engineer in data project who bridges the gap between scientists and engineers.
- A pragmatic and ownership driven person, experienced with gap analysis, migration plan and release management.
- Leader of documentation and process, mentor of junior engineers.
- Product-driven mindset, learning new tech. and use them to build side projects continuously (chatbot, blockchain, ..., etc.)
Expertise fields:
- ML Ops / Data Engineering: This is my strength.
- Data Science/Modeling: Not using the cutting edge technologies in the work, but it can be swiftly brought up to speed. (it's my master degree).
Experience
Data Infra Engineer, Moneytree, Nov. 2020 - present (~3y)
Senior Software Engineer I, Nov. 2023 ~
Software Engineer II, ~ Nov. 2023
Software Engineer, SmartNews, Jul. 2019 - Nov. 2020 (~1.5y)
Senior Engineer II, Appier, Jun. 2014 - Jul. 2019 (5y)
Senior Engineer II, ~ Jul. 2019
Software Engineer, Jun. 2014 - 2018
Start
Education
National Taiwan University, Taiwan, Sep 2009 - Jun 2011
M.S., Department of Computer Science and Information Engineering
National Chiao Tung University, Taiwan, Sep 2005 - Jun 2009
B.S., Department of Computer Science
Skills
Data Lake/Warehousing: Python, Spark, Scala, Airflow, Presto | Streaming: Kafka, Flink
Machine Learning: Scikit learn, Tensorflow (side project), TensorFlow Serving
AWS Cloud Services: EC2/ECS/ECR/Lambda, EMR (Hive), RDS, DynamoDB, ElastiCache (Redis), Athena, SNS, SQS, Glue, SageMaker, CloudFormation/CDK.
API Services: FastAPI, Flask, Django, Swagger/Flasgger | CI/CD: Jenkins/CircleCI/TravisCI, Ansible
Human Languages: English: Business Level | Japanese: Conversational | Mandarin: Native
Selected Projects
Ad Product Technical Debt Burn Down '18Q4
- Co-work with scientists to migrate an legacy machine learning project from python2 to python3
- Design, burn down and implement new log patch framework to secure safe patch behavior, also enable abstraction on log patch mechanism.
Data Governance '18Q2 ~
Form a Data Governance committee with tech leads to consistently improve data quality and availability.The missions are: schema evolving, legacy deprecation and data platform migration planning.
Automatical Refund System '17Q2 ~ '18Q2
Saved more than 10 millions TWD dollars for our business as well as tremendous human effort, milestones include:
- Automate process to save support team and CM team's human effort (17'Q2)
- Eliminate major data discrepancy (17'Q3)
- Support various timezones, formats and make debug efficient. (17'Q4)
- Different dimension breakdown and co-work with F2E to build a new UI (18'Q1)
Pipeline Reconstruction and Migration '17Q2 ~ '17Q3
- Reconstruct ad-hoc pipeline and improve it by applying unit test, migrating DB, code-refactoring, and migrating to Jenkins.
- Co-work with team members to migrate critical production pipelines to Airflow, till 2019Q1, more than 20 data pipelines are operated by Airflow.
Improve ML Model Performance '16Q2
- Improve high quality inventory discovery by embedding inventory as vector: precision achieve 79% from 5.3%, volume increased to 12.8x
- Extend CPA model to different ads vertical: CPA reduced to 68%, volume increased to 2.4x
Learning & Sharing
Side Projects: I build side project in my leisure time, one of them is a chatbot which is cross platform on Line, Telegram, Discord and Twitch. I always introduce new tech. like ML, CI/CD in this project as my daily life.
I also like writing, I own a blog and here is one of my post: My Machine Learning Engineering in Appier
Publications
Me-link: Link me to the media - fusing audio and visual cues for robust and efficient mobile media interaction
- We present a scalable mobile video recognition system, named “Me-link,” based on progressive fusion of light-weight audio visual features. -- 23rd International World Wide Web Conference (WWW 2014)
Connor Hsu
Curious about data and real world, building product to solve problem, making machine learning into product, writing is my interest.
Summary
- 9 years experience of large scale AI product building, and is capable of building product from scratch.
- Extensive problem solving experience for data science/engineering, and familiar with transferring real problem into requirements and solution planning.
- A well-rounded engineer in data project who bridges the gap between scientists and engineers.
- A pragmatic and ownership driven person, experienced with gap analysis, migration plan and release management.
- Leader of documentation and process, mentor of junior engineers.
- Product-driven mindset, learning new tech. and use them to build side projects continuously (chatbot, blockchain, ..., etc.)
Expertise fields:
- ML Ops / Data Engineering: This is my strength.
- Data Science/Modeling: Not using the cutting edge technologies in the work, but it can be swiftly brought up to speed. (it's my master degree).
Experience
Data Infra Engineer, Moneytree, Nov. 2020 - present (~3y)
Senior Software Engineer I, Nov. 2023 ~
Software Engineer II, ~ Nov. 2023
Software Engineer, SmartNews, Jul. 2019 - Nov. 2020 (~1.5y)
Senior Engineer II, Appier, Jun. 2014 - Jul. 2019 (5y)
Senior Engineer II, ~ Jul. 2019
Software Engineer, Jun. 2014 - 2018
Start
Education
National Taiwan University, Taiwan, Sep 2009 - Jun 2011
M.S., Department of Computer Science and Information Engineering
National Chiao Tung University, Taiwan, Sep 2005 - Jun 2009
B.S., Department of Computer Science
Skills
Data Lake/Warehousing: Python, Spark, Scala, Airflow, Presto | Streaming: Kafka, Flink
Machine Learning: Scikit learn, Tensorflow (side project), TensorFlow Serving
AWS Cloud Services: EC2/ECS/ECR/Lambda, EMR (Hive), RDS, DynamoDB, ElastiCache (Redis), Athena, SNS, SQS, Glue, SageMaker, CloudFormation/CDK.
API Services: FastAPI, Flask, Django, Swagger/Flasgger | CI/CD: Jenkins/CircleCI/TravisCI, Ansible
Human Languages: English: Business Level | Japanese: Conversational | Mandarin: Native
Selected Projects
Ad Product Technical Debt Burn Down '18Q4
- Co-work with scientists to migrate an legacy machine learning project from python2 to python3
- Design, burn down and implement new log patch framework to secure safe patch behavior, also enable abstraction on log patch mechanism.
Data Governance '18Q2 ~
Form a Data Governance committee with tech leads to consistently improve data quality and availability.The missions are: schema evolving, legacy deprecation and data platform migration planning.
Automatical Refund System '17Q2 ~ '18Q2
Saved more than 10 millions TWD dollars for our business as well as tremendous human effort, milestones include:
- Automate process to save support team and CM team's human effort (17'Q2)
- Eliminate major data discrepancy (17'Q3)
- Support various timezones, formats and make debug efficient. (17'Q4)
- Different dimension breakdown and co-work with F2E to build a new UI (18'Q1)
Pipeline Reconstruction and Migration '17Q2 ~ '17Q3
- Reconstruct ad-hoc pipeline and improve it by applying unit test, migrating DB, code-refactoring, and migrating to Jenkins.
- Co-work with team members to migrate critical production pipelines to Airflow, till 2019Q1, more than 20 data pipelines are operated by Airflow.
Improve ML Model Performance '16Q2
- Improve high quality inventory discovery by embedding inventory as vector: precision achieve 79% from 5.3%, volume increased to 12.8x
- Extend CPA model to different ads vertical: CPA reduced to 68%, volume increased to 2.4x
Learning & Sharing
Side Projects: I build side project in my leisure time, one of them is a chatbot which is cross platform on Line, Telegram, Discord and Twitch. I always introduce new tech. like ML, CI/CD in this project as my daily life.
I also like writing, I own a blog and here is one of my post: My Machine Learning Engineering in Appier
Publications
Me-link: Link me to the media - fusing audio and visual cues for robust and efficient mobile media interaction
- We present a scalable mobile video recognition system, named “Me-link,” based on progressive fusion of light-weight audio visual features. -- 23rd International World Wide Web Conference (WWW 2014)