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6-10 years
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National Taiwan University
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 Chin-Hung (Wilson) Liu.
Avatar of Chin-Hung (Wilson) Liu.
Principal Engineer, Data Engineering @KKCompany
2023 ~ Present
Backend Engineer, Data Engineer, MLOps Engineer
Within one month
operations, I bring: ● 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 willmaster.liu@gmail
Big Data
Data Engineering
ETL
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.
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
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, 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
Python
Scala
Spark
Employed
Not open to opportunities
Full-time / Interested in working remotely
4-6 years
National Taiwan University
Computer Science
Avatar of the user.
Avatar of the user.
Senior Data Architect @Agoda
2023 ~ Present
Data Engineer
Within one month
Python
PySpark
MySQL
Employed
Full-time / Interested in working remotely
4-6 years
National Taiwan University
Graduate Institute of Applied Mechanics
Avatar of 陳婉玲.
Avatar of 陳婉玲.
Analyst @Business Next Media Corp.
2017 ~ 2019
Data Analyst、Data Engineer、Data Scientist、Customer Experience Analyst
Within one month
Wan-Ling (Lyn), Chen CAREER SUMMARY 7 years of diverse data and AI experience in engineering and advisory roles across varied industries. Provided end-to-end advisory on data and AI solutions, covering data platforms, lakehouse architecture, data security & LLM. Led PoCs delivery, solution design, and workshop execution for clients' digital transformation. Managed data architecture across 70 global offices, demonstrating adaptability in complex data landscapes. Actively participated in projects addressing board portfolios such as data and AI, security, and automation. Achieved a 76.6% revenue boost through strategic volume monetization. Goal-oriented, curious
Python
SQL/MySQL
Databases
Employed
Full-time / Interested in working remotely
4-6 years
National Taiwan University
Psychology
Avatar of Chien Chou Hong.
Avatar of Chien Chou Hong.
Director of Operations @Jmen Taiwan - Jiuh Men 鉅門工業
2020 ~ Present
資深產品經理 Senior Product Manager
Within one month
洪健洲 Chien Chou Hong 12 年專案管理經驗,4 年團隊主管經驗 7 年以上敏捷式軟體開發團隊 Product Manager / Product Owner / Scrum Master 經驗,專注於軟體產品的開發,負責進行用戶訪談、繪製產品線稿、制定產品規格、並協助團隊進行驗證 擅長對內與開發團隊成員整合意見,以
Agile Project Management
Scrum
User Experience Design
Employed
Ready to interview
Full-time / Interested in working remotely
10-15 years
National Taiwan University
Electronics Engineering
Avatar of the user.
Avatar of the user.
Controls/Software Engineer @CYTENA BPS
2022 ~ Present
Software Engineer / Backend Engineer
Within one month
Word
Google Drive
Project Management
Employed
Ready to interview
Full-time / Interested in working remotely
6-10 years
National Taiwan University
Computer Science
Avatar of Kevin Hsu.
Avatar of Kevin Hsu.
Engineer II @SiFive
2022 ~ Present
Within one month
verify the correctness of clocks and hardware IPs Product Engineer SyntecGroup SepFebHsinchu , Taiwan Develop the motion trajectory control on laser cutting and laser marking machines Improve the gap tracking subsystem to control the tooling gap Provide total solutions to clients to build up the highly automated production line Education National Taiwan University Mechanical EngineeringNational Chung Cheng University Mechanical EngineeringSkills Programming Languages: C/C++, C#, Python, Shell Professions: OOP/Design Pattern, CI/CD Integration, Linux Kernel Certifications & Awards Coursera - Data Structures (UC San Deigo, SepCoursera - Algorithms (UC San Deigo, AugExcellent Work - ARM Design Contest (Sep
Employed
Open to opportunities
Full-time / Interested in working remotely
4-6 years
National Taiwan University
Mechanical Engineering
Avatar of Andrea Chuang.
Avatar of Andrea Chuang.
Senior Medical Technologist of NGS Lab @Stork Fertility Center
2014 ~ 2018
RD
Within two months
Tzu-Hsuan (Andrea) Chuang Medical Laboratory Director - management and certification Medical Research Head - clinical Research, Statistics ISO 15189/LDTs Accredition , SCI publication Tel:Email: [email protected] Work Experience Director, Lab of next-generation sequencing Stork Fertility Center • JunPresent Laboratory management: budget plan, personnel training, QC/QA, complaint handling Major service: preimplantation genetic testing, expanded carrier screening Honor: Mission accomplishment awardCorporate Annual Group Award) Head of Medical Research Stork Fertility Center • JunPresent Clinical trials: project plan, statistical skills (STATA, SPSS), IRB approval, academic hospitals collaboration Data warehouse: data cleaning, outcome visualization, regression models, SCI publications (~1
Employed
Open to opportunities
Full-time / Not interested in working remotely
10-15 years
National Taiwan University
canditate, Graduate institute of Clinical medicine
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

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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
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Time Management
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Leadership
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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
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
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