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National Taiwan University
Avatar of Leo Wu.
Avatar of Leo Wu.
Senior Front-End Engineer @TonFura
2023 ~ Present
Front-End engineer / Full-stack engineer
Within one month
over four years Skilled in ensuring Cross-Browser Compatibility and delivering high-quality user experiences Proven ability to collaborate effectively with non-technical partners to achieve project objectives Skills Programming languages: JavaScript, TypeScript Front-End Frameworks and Libraries: React, Next.js, Ant Design, Material UI, Jest DevOps and Tools: Docker, Jenkins, GitLab CI/CD Work Experience TonFura, Senior Front-End Engineer, Jun 2023 ~ Present Spearheaded the maintenance and enhancement efforts for Tonkey , an advanced project introducing multi-signature functionality to the TON blockchain. Activities included: Adding new features to enrich the user experience and extend product functionality
JavaScript
HTML5
CSS3
Employed
Ready to interview
Full-time / Interested in working remotely
6-10 years
National Taiwan University
Computer Science and Information Engineering
Avatar of 陳昭儒.
Avatar of 陳昭儒.
Past
Data Engineer @BUBBLEYE | We're hiring!
2021 ~ 2022
Software Enginer
Within two months
陳昭儒(Chao-Ju Chen) Github [email protected] Education National Taiwan University Bachelor’s Degree, Electrical Engineering 2012 ~ 2017 Project Highlights Aggregating Files in one ETL, output 60B row to Data Warehouse Input :gzipped files(200GB in total) Task : Loading columns with values parsed from each gzipped file name. Wrote to BigQuery existing table(specific schema) in parallel. Tool: GCP Dataflow(Hosted Serverless Apache Beam) Result : The job took 40min to finish. Machine Type: n1-standard-1(1 vcpu, 3.75GB memory) Autoscaled up to 122 workers at peak. The data
Python
ETL
Web Scraping
Unemployed
Ready to interview
Full-time / Interested in working remotely
4-6 years
National Taiwan University
電機工程學系
Avatar of the user.
Avatar of the user.
Technology Leader @AIBDT
2023 ~ Present
Software Engineer / Backend Engineer
Within one month
Intelligent
Cooperation
Curious
Employed
Open to opportunities
Full-time / Interested in working remotely
4-6 years
National Taiwan University
Agricultural Chemistry
Avatar of the user.
Avatar of the user.
Lead Fullstack Engineer @Proto Research Inc
2022 ~ Present
Front-End / Back-End / Full Stack Web Developer
Within one month
Python
React.js
Next.js
Employed
Open to opportunities
Full-time / Remote Only
6-10 years
National Taiwan University
Mechanical Engineering
Avatar of the user.
Avatar of the user.
Product Manager @SPIN.FASHION, a lablaco company
2021 ~ Present
Product Manager
Within two months
Node.js
MySQL
.NET Core
Employed
Open to opportunities
Full-time / Interested in working remotely
4-6 years
National Taiwan University
Finance Bachelor
Avatar of Chih Kai Yu.
Avatar of Chih Kai Yu.
Staff Backend Engineer @RE:DREAMER Taiwan Co. Ltd
2021 ~ Present
Software Engineer
Within one month
Please visit Chih Kai Yu CV
Docker
ci/cd
c#
Employed
Open to opportunities
Full-time / Interested in working remotely
6-10 years
National Taiwan University
Master of Science M.S. Computer Science
Avatar of Connor Hsu.
Offline
Avatar of Connor Hsu.
Offline
Software Engineer @SmartNews
2019 ~ Present
數據分析 / 資料工程
Within one month
Connor Hsu Curious about data and real world, building product to solve problem, making machine learning into product, writing is my interest. [email protected] 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
Python
Scala
Spark
Employed
Not open to opportunities
Full-time / Interested in working remotely
4-6 years
National Taiwan University
Computer Science
Avatar of Jingping Wang.
Avatar of Jingping Wang.
Consultant @TATA Consultancy Service (TCS)
2023 ~ Present
Senior Software Engineer
Within one month
— Jingping Wang 王景平 More than 15+ years of experience in software development. Projects participated include from large scale insurance/banking web applications to mobile applications. In recent years, I have been engaged in software defined networking and 4G/5G user data plane networking. Taipei City, Taiwan Phone:E-Mail: jingping.w@tcs.com EXPERIENCE Full Stack Engineer • TATA Consultancy Services (TCS) JanPresent TaiShin Bank Richart App Frontend / 台新 Richart 數位銀行 TaiShin Bank Richart App Backend / 台新 Richart 數位銀行 TaiShin
Java
JSP/Servlet
JavaScript
Employed
Full-time / Interested in working remotely
More than 15 years
National Taiwan University
Atmospheric Sciences
Avatar of NengChien Wang.
Avatar of NengChien Wang.
Past
Senior Software Engineer @DOINT
2021 ~ 2023
Software engineer, Image Processing engineer, Algorithm engineer
Within three months
thrive on expanding my knowledge of coding and the challenge of being an algorithm engineer truly brings me passion in my work. Senior Software/Algorithm Engineer Taipei, Taiwan [email protected] Skills Programming Lang. C/C++ Python Shell Script CMake Tool Git Docker Doxygen Swig (API for python from C++) OpenCV OpenCL Linux Skill multi-threads distributed computing serialization/deserialization CICD data version control (DVC) MLOps Image Processing PCA Interactive Segmentation Connected Component Image Stitching Direct Linear Transformation Kalman Filter (Tracking) SIFT Hough HoG Image Deblurring Depth Estimation ISP
Python
Machine Learning
C++
Unemployed
Full-time / Interested in working remotely
6-10 years
National Taiwan University
Communication Engineering
Avatar of Li-Sheng Chou.
Avatar of Li-Sheng Chou.
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
Docker
Docker Swarm
AWS Lambda
Full-time / Interested in working remotely
4-6 years
National Taiwan University
GeoTechnical Engineering

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Within one month
Software Engineer
Logo of SmartNews.
SmartNews
2019 ~ Present
Tokyo, 日本
Professional Background
Current status
Employed
Job Search Progress
Not open to opportunities
Professions
Fields of Employment
Work experience
4-6 years
Management
Skills
Python
Scala
Spark
Airflow
Hive
SQL/MySQL
PrestoSQL
Docker
AWS
Machine Learning
Data Engineering
Data Analytics
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Chinese
Native or Bilingual
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Japanese
Intermediate
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Positions
數據分析 / 資料工程
Job types
Full-time
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Japan, Taiwan
Remote
Interested in working remotely
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Educations
School
National Taiwan University
Major
Computer Science
Print

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

  • Built 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.
  • Migrated CDK to version 2, improved CI workflow.
  • Evangelizing Big Data technics with talks and drive technical improvements discussion every week.
  • Software Engineer, SmartNews, Jul. 2019 - Nov. 2020 (~1.5y)

  • Data platform team: build data infrastructure/platform to serve Ads/Data Science needs.
  • Improve Hive performance to 4x by utilizing partition after 1 month.
  • Tech lead: Lead team documentation culture, manage the process, and attend as representative in cross-team meeting after 2 months, Mentor 3 new members to equip the new data team with the full speed.
  • Streaming locational service data for local coupon service for millions of users.
  • Senior Engineer II, Appier, Jun. 2014 - Jul. 2019 (5y)

    Senior Engineer II, ~ Jul. 2019

  • Data governance chair / Agile coach: Coordinating cross-team product features, burning down company level technical debts and solved them gradually with shipping new feature simultaneously.
  • AI backend: Building extensive machine learning / analytical services through various approaches with F2E, Data Scientists, Data Infrastructure team.
  • Mentor new members by not only tech. documentation but also Ads domain knowledge.
  • Software Engineer, Jun. 2014 - 2018

  • Build RTB bidding algorithm in a fast-growing, dynamic business environment.
  • Conduct experiments on real product to make daily improvements and achieve business goals.
  • Solve critical issues and conduct root cause analysis in uncontrolled, unreproducible and unbalanced data environment with strong time constraints.
  • Enable product features with petabytes level data by Spark, AWS RDS and Airflow.
  • 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.

    Publications


    Me-link: Link me to the media - fusing audio and visual cues for robust and efficient mobile media interaction

    Resume
    Profile

    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

  • Built 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.
  • Migrated CDK to version 2, improved CI workflow.
  • Evangelizing Big Data technics with talks and drive technical improvements discussion every week.
  • Software Engineer, SmartNews, Jul. 2019 - Nov. 2020 (~1.5y)

  • Data platform team: build data infrastructure/platform to serve Ads/Data Science needs.
  • Improve Hive performance to 4x by utilizing partition after 1 month.
  • Tech lead: Lead team documentation culture, manage the process, and attend as representative in cross-team meeting after 2 months, Mentor 3 new members to equip the new data team with the full speed.
  • Streaming locational service data for local coupon service for millions of users.
  • Senior Engineer II, Appier, Jun. 2014 - Jul. 2019 (5y)

    Senior Engineer II, ~ Jul. 2019

  • Data governance chair / Agile coach: Coordinating cross-team product features, burning down company level technical debts and solved them gradually with shipping new feature simultaneously.
  • AI backend: Building extensive machine learning / analytical services through various approaches with F2E, Data Scientists, Data Infrastructure team.
  • Mentor new members by not only tech. documentation but also Ads domain knowledge.
  • Software Engineer, Jun. 2014 - 2018

  • Build RTB bidding algorithm in a fast-growing, dynamic business environment.
  • Conduct experiments on real product to make daily improvements and achieve business goals.
  • Solve critical issues and conduct root cause analysis in uncontrolled, unreproducible and unbalanced data environment with strong time constraints.
  • Enable product features with petabytes level data by Spark, AWS RDS and Airflow.
  • 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.

    Publications


    Me-link: Link me to the media - fusing audio and visual cues for robust and efficient mobile media interaction