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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 陳昭儒.
Avatar of 陳昭儒.
Past
Data Engineer @BUBBLEYE | We're hiring!
2021 ~ 2022
Software Enginer
Within one month
data Work Experience Vpon, Data Engineer Aug 2018 ~ Oct 2020 Implement Akka-http(Scala) server endpoints for Vpon Data Platform Product Create new ETL pipelines using GCP Spark(Apache Spark) and GCP Dataflow(Apache Beam) to batch input/output hundreds of files Migrate existing ETL pipelines from AWS(Hive SQL) to GCP(BigQuery SQL) using python Migrate datawarehouse from AWS(Hive) to GCP(BigQuery) Setup Prometheus on GKE (Google Kubernetes Engine) to monitor resource usage(CPU, memory of compute engine) Largitdata, Data Quality Manager Sep 2017 ~ July 2018 Monitor status of all web scraping running scripts.( Flask ) Write
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
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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 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
Chin-Hung (Wilson) Liu I am a lead architect responsible for designing and implementing a large-scale data pipeline for Lomotif, Paktor x 17LIVE, utilizing GCP/AWS/Python/Scala, in collaboration with data science and machine learning teams in Singapore and TW HQ, as well as with the Hadoop ecosystem (HDFS/HBase/Kafka) at JSpectrum in Hong Kong and Sydney. With over 15 years of experience in designing and developing Java/Scala/Python-based applications for daily operations, I bring: ● At least 8 years of experience in data analysis, pipeline design
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 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 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
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Project Manager @Shaku Technology Co., Ltd.
2023 ~ Present
Executive Assistant; Project Manager
Within six months
Excel
SQL
Employed
Full-time / Interested in working remotely
4-6 years
National Taiwan University
Accounting
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 Conrad Lan.
Avatar of Conrad Lan.
Backend Engineer @Cooby
2022 ~ 2023
Within one month
pivoting and minimizing costs. As a backend engineer, I am passionate about creating solutions that solve complex problems and improve the user experience. My experience in AWS infrastructure, payment processing, and analytics has equipped me with the skills necessary to design, develop, and deploy scalable web applications. Backend engineer • ChoozMo inc. 十月三月 2022 | Taipei, Taiwan NFT Transaction Integration on Linebot: - Collaborated with product management and frontend teams to design and develop RESTful APIs using FastAPI to enable NFT transaction integration on Linebot. - Optimized SQL to improve API service spe...
Communication
Employed
Not open to opportunities
Full-time / Interested in working remotely
4-6 years
National Taiwan University
Communication Engineering
Avatar of 李信憲 Jeffrey.
Avatar of 李信憲 Jeffrey.
Senior Data Architect @Agoda
2023 ~ Present
Data Engineer
Within one month
李信憲 Jeffrey Data Engineer As a data engineer, I have almost 5 years of experience in data engineering, data processing, and data modeling. Also building a hybrid cloud data pipeline with high reliability and high availability to do ETL including change data capture (CDC). Taipei City, Taiwan [email protected] Python PySpark / NiFi Kafka / Debezium Apicurio SQL / ClickHouse / MinIO Docker / Docker compose Google Cloud Platform (GCP) Bash Shell / Linux Git / GitLab Work Experience Data Engineer JKOPay Co. Ltd. • MayPresent ETL & Data Sync Dockerized a PySpa
Python
PySpark
MySQL
Employed
Full-time / Interested in working remotely
4-6 years
National Taiwan University
Graduate Institute of Applied Mechanics

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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
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4-6 years
Management
Skills
Python
Scala
Spark
Airflow
Hive
SQL/MySQL
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Docker
AWS
Machine Learning
Data Engineering
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Chinese
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數據分析 / 資料工程
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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