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4-6 years
6-10 years
10-15 years
More than 15 years
National Taiwan University
Principal Engineer, Data Engineering @KKCompany2023 ~ 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
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.
Analyst @Business Next Media Corp.2017 ~ 2019
・
Data Analyst、Data Engineer、Data Scientist、Customer Experience Analyst
Within one month
Achieved a 78% reduction in data storage requirements and significantly accelerated query speeds from hours to minutes through the seamless integration of lakehouse and data platforms. • Consult for business process automation using data techniques on loan, credit analysis and procurement process. • Design solutions for data leakage prevention and data security. • Implement end-to-end generative AI solution integrating with GraphDB, Chatbot & Avatar. Morrison Express Corp., Data Engineer, Jan 2021 ~ Jul 2022 • Orchestrated data pipeline, ETL process and API to connect diverse data systems and facilitate data migration. • Full accountability for overseeing data architecture and
Employed
Full-time / Interested in working remotely
4-6 years
National Taiwan University
・
Psychology
Offline
Offline
Software Engineer @SmartNews2019 ~ 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
Employed
・
Not open to opportunities
Full-time / Interested in working remotely
4-6 years
National Taiwan University
・
Computer Science
Research Assistant of National Taiwan University @National Taiwan University2023 ~ Present
・
Graduate research assistant
Within six months
YEN-TING CHEN (陳彥廷) I am a graduate student in the Department of Psychology at National Taiwan University ( NTU). For me, diving into psychometrics and exploring data with reasonable statistical method is to clarify a new world of understanding people around us. Whether it's a quirky little issue or a big, serious one, I've got curiosity and grabbed my attention to figure out problems using the tools or theories of psychometrics and data analysis . Right now, I am turning curiosity into discoveries in the wild world of Psychology and All kinds of Data
Studying
Part-time / Interested in working remotely
4-6 years
National Taiwan University
・
Psychometrics (Division of Psychology), Methodology (Division of Psychology)
人工智慧工程師 @玉山銀行智能金融處 (Intelligent Finance Dept., E-SUN Bank )2020 ~ Present
・
Machine Learning Researcher / Engineer
Within one month
support, gaining first-hand insight on financial and corporative AI usage via cross-department collaboration. Having excellent code-quality standard, efficiency-oriented thinking, and perseverance in face of challenging problems; Continue absorbing “technical-nutrients” from the development of open-source AI community. PROJECT Next-Generation ETL Framework for Data Science Team 2022/7-2022/12 Goal: Design a lightweight ETL python framework enabling data scientists to seamlessly deploy their pandas/SQL processes to airflow in a maintainable format. Reduce the maintenance and optimization cost of AI projects with integration of customizable data validation, metadata
Employed
Full-time / Interested in working remotely
4-6 years
National Taiwan University
・
Graduate Institute of Communication Engineering
Project leader engineer(主任工程師) @TSMC2014 ~ Present
・
Optical engineer, Semiconductor engineer
Within three months
keep high-quality, speed-up data processing & maintenance E-beam writer of data re-structure : Benefit of 10%~25% mask exposure cost by software solution New Re-tape-out Flow of double-patterning technique (DPT) & OPC consistency : minimum process variation & quality insurance Benefit of 30%/year cost in mask data processing Education SepJun 2013 National Taiwan University master's degree in Photonics and optoelectronic SepJun 2011 National Cheng Kung University bachelor's degree in Photonics and optoelectronic Skills Language Data Science & Data analysis OPC , EDA related tools Python , C++ , Perl Mask data process Chinese - Native English - Professional
Employed
Full-time / Interested in working remotely
6-10 years
National Taiwan University
・
Photonics and optoelectronic
Product DEV Support Supervisor @Wiwynn2021 ~ Present
・
PM/產品經理/專案管理
Within one month
Employed
・
Open to opportunities
Full-time / Interested in working remotely
4-6 years
National Taiwan University
・
圖書資訊學系Controls/Software Engineer @CYTENA BPS2022 ~ Present
・
Software Engineer / Backend Engineer
Within one month
Employed
・
Ready to interview
Full-time / Interested in working remotely
6-10 years
National Taiwan University
・
Computer Science
Senior Medical Technologist of NGS Lab @Stork Fertility Center2014 ~ 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 medicineMobile Architect @Rakuten2019 ~ Present
・
Senior Android Engineer
Within one month
Employed
・
Not open to opportunities
Full-time / Interested in working remotely
6-10 years
National Taiwan University
・
Master degree Computer ScienceThe Most Lightweight and Effective Recruiting Plan
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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
Ability to convey information effectively and is willing to give and receive feedback.
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Current status
Employed
Job Search Progress
Not open to opportunities
Professions
Fields of Employment
Work experience
4-6 years
Management
Skills
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
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
Software Engineer, SmartNews, Jul. 2019 - Nov. 2020 (~1.5y)
Senior Engineer II, Appier, Jun. 2014 - Jul. 2019 (5y)
Senior Engineer II, ~ Jul. 2019
Software Engineer, Jun. 2014 - 2018
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.
I also like writing, I own a blog and here is one of my post: My Machine Learning Engineering in Appier
Publications
Me-link: Link me to the media - fusing audio and visual cues for robust and efficient mobile media interaction
- We present a scalable mobile video recognition system, named “Me-link,” based on progressive fusion of light-weight audio visual features. -- 23rd International World Wide Web Conference (WWW 2014)
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
Software Engineer, SmartNews, Jul. 2019 - Nov. 2020 (~1.5y)
Senior Engineer II, Appier, Jun. 2014 - Jul. 2019 (5y)
Senior Engineer II, ~ Jul. 2019
Software Engineer, Jun. 2014 - 2018
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.
I also like writing, I own a blog and here is one of my post: My Machine Learning Engineering in Appier
Publications
Me-link: Link me to the media - fusing audio and visual cues for robust and efficient mobile media interaction
- We present a scalable mobile video recognition system, named “Me-link,” based on progressive fusion of light-weight audio visual features. -- 23rd International World Wide Web Conference (WWW 2014)