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National Taiwan University
Avatar of 曾柏硯.
Avatar of 曾柏硯.
AI Technical Lead @WeBIM Services
2024 ~ Present
前端工程師、後端工程師、全端工程師
Within one month
Preston Tseng AI Technical Lead at WeBIM Services Since high school, I have embarked on a journey of self-education in programming. My enthusiasm for technology motivated me to enroll in computer science courses throughout my university and postgraduate studies. Eager to refine my practical skills, I actively participated in internships and side-projects from my university years. Initially, I began my career as a front-end developer. However, my eagerness to expand my skill set led me to volunteer for back-end development tasks, ultimately transitioning into a full-stack developer role. I possess
HTML/CSS
JavaScript
Node.js
Employed
Open to opportunities
Full-time / Interested in working remotely
4-6 years
National Taiwan University
Civil Engineering (Division of Transportation Engineering)
Avatar of Hans Yen.
Avatar of Hans Yen.
Technology Leader @AIBDT
2023 ~ Present
Software Engineer / Backend Engineer
Within one month
.pdf. 3. Use Python3 flask add upload media file function in "National Digital Library of Theses and Dissertations in Taiwan", create the manage media files system's web. Use Jinja2 and Vue.js build the manage system's frontend web, Use Python3 sqlalchemy to operate Mysql database. 4. Use Python3 flask to make "Ministry of The Interior Taiwan's New eLD"(The system has not started), use Python sqlalchemy and Mysql operate database. 5. Use Python3 to make a scrapy and schedule catching the cooperation company's(https://www
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.
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 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
Avatar of the user.
Avatar of the user.
高級工程師 @關網資訊股份有限公司
2022 ~ 2023
Senior PHP engineer
Within one month
PHP development
MySQL database design
Laravel Framework
Employed
Not open to opportunities
Full-time / Not interested in working remotely
6-10 years
National Taiwan University
資訊工程
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 Denny Lin.
Avatar of Denny Lin.
Software Engineer @Netskope
2023 ~ Present
Senior Software Engineer
Within one month
/ futures / warrant investment platform in Golang Real-time quote: Our Go server keeps track of users' subscriptions to products and dispatches real-time quotes to them through WebSocket. Risk control: We store orders' information in Redis and use daemon to calculate risk periodically to control risk ASAP. Order: To ensure the integrity of orders, we use RabbitMQ for making orders. Backend development of a gaming platform in PHP Including game logic, member info/history, API concatenation and odds/risk calculation. Database design & maintenance. (MySQL / Redis / pr...
MySQL
Golang
Redis
Employed
Not open to opportunities
Full-time / Interested in working remotely
4-6 years
National Taiwan University
Computer Science
Avatar of 吳健維.
Avatar of 吳健維.
Engineer @Circle
2023 ~ Present
Senior Full Stack Developer
Within one month
師 Openfind • 七月十二月Email System:開發並維護公司產品 2. 無害化電子信箱服務:開發電子郵件附檔轉文字或圖片服務 學歷 National Taiwan University 資訊工程所National Taiwan University 電機工程學系技能 C Golang Python JavaScript scss/sass Vue.js Docker k8s GKE PostgreSQL/MySQL/MSSQL MongoDB Jenkins CircleCI Nginx Git 語言 English — 中階 Chinese — 母語或雙語
C
Golang
Python
Employed
Not open to opportunities
Full-time / Interested in working remotely
6-10 years
National Taiwan University
資訊工程所

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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