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4-6 years
6-10 years
10-15 years
More than 15 years
National Taiwan University
Senior Front-End Engineer @TonFura2023 ~ Present
・
Front-End engineer / Full-stack engineer
Within one month
Employed
・
Ready to interview
Full-time / Interested in working remotely
6-10 years
National Taiwan University
・
Computer Science and Information Engineering
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
and delivered presentations to demonstrate the features and benefits of the company's products and services to international B2B customers Conducted market research and analysis to identify new opportunities and trends in the global market Coordinated with the marketing, sales, and product development teams to provide feedback and suggestions for improvement Responsible for leading various government subsidy projects, and organizing the annual education and training plan and budget planning within the company Senior Product Manager • Meet.jobs - Global Talent, Global Jobs 六月一月以下三間公司的經歷均為 Web-based SAAS
Employed
・
Ready to interview
Full-time / Interested in working remotely
10-15 years
National Taiwan University
・
Electronics Engineering
Past
Team leader of Production Engineer @艾司摩爾2016 ~ 2023
・
資深工程師、技術主管、專案管理工程師、產品經理
Within three months
team in the Netherland for system integration verification and learning. Lead 1st YS500 machine built up in factory as the integrator, and output to customer in time. HVM - Lead 11 production engineer and 1 project leader for prodution time reduction KPI as 9% above target 5% as sustaining improvement project per year. Leading production engineer | ASML AugustDecember 2021 PE integrator - Influence PE and SQE without power and ask supplier to execute SPC check for quality to reduce material down time to 50 %. Cross competency PE - Urgent customer on-site support to solve 2 cross competency issues
Unemployed
・
Ready to interview
Full-time / Interested in working remotely
10-15 years
National Taiwan University
・
Mechanical Engineering
QC Associate Manager @Merck Group 台灣默克集團2024 ~ Present
・
Manager
Within one month
月 2024 ◉ Leaded Outer cap local supplier qualification that keeps stable supply for daily production. ◉ Leaded auto bottling assessment project inPhase 1 executed in◉ Supported the process validation of OLED ink to Taiwan site. ◉ Line engineer of Liquid Crystal Jumbo line (Team: 19 people) -Process improvement -Operation management Quality Assurance Engineer • Pioneer Material Precision tech 一月十二月 2021 ◆ Reliability and Quality project management Apple magnetic watch band Air pod pro Max internal component Huawei GT1>2 watch band ◆ Support Reliability Project and Quality control plan (Apple /Huawei/OPPO
Employed
・
Open to opportunities
Full-time / Interested in working remotely
4-6 years
National Taiwan University
・
Master of Biomedical Engineering
Offline
Offline
Software Engineer @SmartNews2019 ~ Present
・
數據分析 / 資料工程
Within one month
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, JulNov~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
Employed
・
Not open to opportunities
Full-time / Interested in working remotely
4-6 years
National Taiwan University
・
Computer Science
Past
Senior Software Engineer @DOINT2021 ~ 2023
・
Software engineer, Image Processing engineer, Algorithm engineer
Within three months
Distancing Estimation (Lidar) Object Tracking Object Detection Automatic License Plate Recognition Optical Character Recognition (OCR) Multi-Camera Object Tracking (Image Stitching) Voice Keywords Detection Face Recognition Blur Detection People Counting Over the Wall Detection Automated Optical Inspection(AOI) Interactive Segmentation(for ROI) Web crawler Work Experience Senior Engineer(VicoreLogic) DecNow 1. Enhance the Image Signal Processor (ISP) algorithm, especially in 2D/3D noise reduction. Leverage cutting-edge techniques from both deep learning and image processing for a comprehensive improvement. 2. Tuning of parameters to achieve optimal image quality. Principle Engineer(Fi...
Unemployed
Full-time / Interested in working remotely
6-10 years
National Taiwan University
・
Communication EngineeringProduct Line Manager @Ubiquiti Inc.2021 ~ Present
・
Product Manager/ Program Manager
Within six months
Employed
Full-time / Interested in working remotely
6-10 years
National Taiwan University
・
Master of Photonics and Optoelectronics
Past
Process Integration Engineer @TSMC Fab12B2019 ~ 2021
・
Yield Improvement Engineer
More than one year
Shih Heng Sun Semiconductor Process Integration Engineer with 5+ years of experience. TSMC PIE specializing in advanced technology semiconductor products (3nm~10nm). Well-versed in yield improvement of semiconductor manufacturing process, Logic IC yield analysis, and collaborating with production line to solve problems. Making a huge leap for TSMC advanced IC fabrication in process integration and yield improvement. Enthusiastic about semiconductor product development and design which can change people's lives. Work Experiences Yield Improvement Engineer • TSMC Fab12B AugustDecember 2020 Expert in most advanced Logic IC process (5nm~10nm) and familiar with advanced measuring
Unemployed
Full-time / Interested in working remotely
4-6 years
National Taiwan University
・
M.S. Photonics and OptoelectronicsSolution Architect, Technical Solution Engineer @Appier 沛星互動科技2020 ~ Present
・
Technical support engineer
More than one year
Employed
Full-time / Interested in working remotely
10-15 years
National Taiwan University
・
Master's degree Institution of Networking and Multimedia
Media Manager @Publicis Groupe2020 ~ Present
・
More than one year
business unit, leadership of two team members from Malaysia and Taiwan 2. Shaping and executing the digital marketing strategy across all the relevant social networks and delivering highly creative social media and content marketing campaigns 3. Data analysis and optimisation that drive significant performance, CPA efficiencies, and revenue improvement Key Performance - Drive significant improvement of mobile application installs by planning and implementing campaigns. Succeeded in driving 550,000 installs of new product in the very first 3 months Media Planner • Publicis Media Group 四月三月 2016 Clients : LVMH, NESTLE - Media service for global brands including
Full-time / Interested in working remotely
6-10 years
National Taiwan University
・
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Definition of Reputation Credits
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
Ability to convey information effectively and is willing to give and receive feedback.
Time Management
Ability to prioritize tasks based on importance; and have them completed within the assigned timeline.
Teamwork
Ability to work cooperatively, communicate effectively, and anticipate each other's demands, resulting in coordinated collective action.
Leadership
Ability to coach, guide, and inspire a team to achieve a shared goal or outcome effectively.
Professional Background
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)