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4 到 6 年
6 到 10 年
10 到 15 年
15 年以上
National Taiwan University
Avatar of Leo Wu.
Avatar of Leo Wu.
Senior Front-End Engineer @TonFura
2023 ~ 现在
Front-End engineer / Full-stack engineer
一個月內
various devices. Achieved over 80% unit testing coverage to enhance code reliability and maintainability. Provided valuable feedback to project management and UI design teams for continuous improvement of user experience. Orchestrated the migration of web applications to a monorepo architecture to adapt to a microservices approach, ensuring scalability and modularity. Role: Lead developer Stacks: Turborepo, Next.js, React, TypeScript, Tailwind CSS, CSS Modules, Material UI, Highcharts, Jest and GraphQL Single-handedly led the development of the Tonfura SDK package, recognized as the pinnacle of TypeScript SDKs for seamless interaction with the TON blockchain. This
JavaScript
HTML5
CSS3
就职中
正在积极求职中
全职 / 对远端工作有兴趣
6 到 10 年
National Taiwan University
Computer Science and Information Engineering
Avatar of the user.
Avatar of the user.
Controls/Software Engineer @CYTENA BPS
2022 ~ 现在
Software Engineer / Backend Engineer
一個月內
Word
Google Drive
Project Management
就职中
正在积极求职中
全职 / 对远端工作有兴趣
6 到 10 年
National Taiwan University
Computer Science
Avatar of 陳昭儒.
Avatar of 陳昭儒.
曾任
Data Engineer @BUBBLEYE | We're hiring!
2021 ~ 2022
Software Enginer
一個月內
at peak. The data inserted into BigQuery was: Table size:GB Number of rows: 6,268,519,176 Qudowe Project Lead & Software Engineer Product of Pixnet Travel Hackathon 2019, a trip planner based on Instagram's 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
Python
ETL
Web Scraping
待业中
正在积极求职中
全职 / 对远端工作有兴趣
4 到 6 年
National Taiwan University
電機工程學系
Avatar of Kevin Hsu.
Avatar of Kevin Hsu.
Engineer II @SiFive
2022 ~ 现在
一個月內
stressing for all the units/modules of core IPs Design and implement self-checking routines in the midst of every test programs Triage hardware design errors and revise the methodology of verification Sr. Embedded Software Engineer Phison Electronics Corps. MarAugNew Taipei, Taiwan Design and develop stable and scalable HAL APIs for high level software development on PCIe 4.0 enterprise SSD Introduce GitLab CI/CD automation to monitor and verify the stability and correctness of the software on the SSD Design test plans and implement test procedures to verify the correctness of clocks and hardware
就职中
目前会考虑了解新的机会
全职 / 对远端工作有兴趣
4 到 6 年
National Taiwan University
Mechanical Engineering
Avatar of Chin-Hung (Wilson) Liu.
Avatar of Chin-Hung (Wilson) Liu.
Principal Engineer, Data Engineering @KKCompany
2023 ~ 现在
Backend Engineer, Data Engineer, MLOps Engineer
一個月內
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
就职中
目前会考虑了解新的机会
全职 / 对远端工作有兴趣
10 到 15 年
National Taiwan University
EMBA Programs, Business Administration, Accounting, Finance and International Business.
Avatar of Connor Hsu.
离线
Avatar of Connor Hsu.
离线
Software Engineer @SmartNews
2019 ~ 现在
數據分析 / 資料工程
一個月內
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
就职中
目前没有兴趣寻找新的机会
全职 / 对远端工作有兴趣
4 到 6 年
National Taiwan University
Computer Science
Avatar of the user.
Avatar of the user.
Mobile Architect @Rakuten
2019 ~ 现在
Senior Android Engineer
一個月內
Android
就职中
目前没有兴趣寻找新的机会
全职 / 对远端工作有兴趣
6 到 10 年
National Taiwan University
Master degree Computer Science
Avatar of Conrad Lan.
Avatar of Conrad Lan.
Backend Engineer @Cooby
2022 ~ 2023
一個月內
www.linkedin.com/in/conrad-lana4/ ▶ three+ years of backend engineer in python/golang 工作經歷 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
Communication
就职中
目前没有兴趣寻找新的机会
全职 / 对远端工作有兴趣
4 到 6 年
National Taiwan University
Communication Engineering
Avatar of the user.
Avatar of the user.
CEO @Pelith
2021 ~ 现在
一個月內
就职中
目前没有兴趣寻找新的机会
6 到 10 年
National Taiwan University
Network and Multimedia (CS)
Avatar of Chinwei Hsu.
Avatar of Chinwei Hsu.
Frontend Engineer @Web3 DeFi protocol
2022 ~ 现在
Front-End Engineer 網頁前端工程師
一年內
experience, I have a strong background in developing and maintaining web projects using the React.js ecosystem, including technologies such as React, React Hooks, Redux, React-Saga, Next.js, and GraphQL. I have also worked with Material UI, Chakra UI, webpack and SASS to create optimized and scalable applications. In addition to my expertise in React, I have also gained experience with the Vue.js ecosystem, including tools such as Vuex, Vue-Router, and Vuetify. I am comfortable working with both frameworks and have used them to deliver successful projects in the past.
Vue.js
JavaScript
HTML5
就职中
全职 / 我只想远端工作
4 到 6 年
National Taiwan University
Geography

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职场能力评价定义

专业技能
该领域中具备哪些专业能力(例如熟悉 SEO 操作,且会使用相关工具)。
问题解决能力
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一個月內
Software Engineer
Logo of SmartNews.
SmartNews
2019 ~ 现在
Tokyo, 日本
专业背景
目前状态
就职中
求职阶段
目前没有兴趣寻找新的机会
专业
产业
工作年资
4 到 6 年
管理经历
技能
Python
Scala
Spark
Airflow
Hive
SQL/MySQL
PrestoSQL
Docker
AWS
Machine Learning
Data Engineering
Data Analytics
语言能力
Chinese
母语或双语
English
专业
Japanese
中阶
求职偏好
希望获得的职位
數據分析 / 資料工程
预期工作模式
全职
期望的工作地点
Japan, Taiwan
远端工作意愿
对远端工作有兴趣
接案服务
学历
学校
National Taiwan University
主修科系
Computer Science
列印

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

    简历
    个人档案

    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