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On
4-6 years
6-10 years
10-15 years
More than 15 years
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
Unemployed
・
Ready to interview
Full-time / Interested in working remotely
10-15 years
National Taiwan University
・
Mechanical Engineering
Program Manager, Project manager, Business Improvement Manager, Business Change
Within six months
of $0.5m I onboarded the VW account as new business, which opened worldwide opportunities for ATEQ Responsible for strategic supplier relationships and accountable for the coordination and implementation of schedule and budget planning of all new products/solutions Quality Engineer @ CONDUMEX Group Mexico Responsible for the metrology department, working with engineering to improve process standards using information collected from operations Responsible for implementing processes within the metrology department leading to successful ISO9001 accreditation Education Master in International Business GGSB - École supérieure de commerce Grenoble, France Electronic Engineering (Automation) ITQ - Queretaro Institute Of Technology Queretaro, Mexico Co
Ready to interview
Full-time / Interested in working remotely
More than 15 years
Grenoble Graduate School Of Business
・
Master In International Business
Product Guide @Arc’Teryx2019 ~ 2020
・
資深工程師
Within one year
Experiments of RC decay could be low by reducing K-factor. Let constructs would not be weak after curing. UMC trained me to learn more process of NDC, TEOS and SION etc. We co-worked with other department about Etch, Photo and Diffusion. I use Film Metrology Tools(Aleristo measure thickness, RI, U% and Stress measurement. I have consistently exceeded my targets and I am able to successfully work under pressure and multi-task efficiently. As an avid cyclist and user of many of your products. I am confident that my experience, communication
Employed
Full-time / Not interested in working remotely
6-10 years
Gerystone
・
Business communication
AOI 軟體工程師 @VS Technology2021 ~ Present
・
AOI軟體工程師
More than one year
with the project manager to understand the requirements Module Development - Implement the module by following the interface Release Document - Writing the user manual to let others know the usage of this module Maintenance - Push module to remote repository, update the version by the new requirement Algorithm Development - Develop defect inspection & metrology algorithm using Halcon library SW/HW Integration - Integrate the AOI software with camera/light device/PLC, etc. AOI System Development - Construct high throughput AOI System with in-line battery factory Asynchronous acquisition/inspection Distributed system for throughput requirement/cross platform integration Multi-threading
Employed
Full-time / Interested in working remotely
4-6 years
National Cheng Kung University (NCKU)
・
Department of Geomatics
Optical Mechanic Engineer - Automotive System @AUO2019 ~ Present
・
Optical Mechanic Engineer
More than one year
and demonstrate the characteristics of personal communication . D uring the period of studied at Institute of Optoelectronic Engineering, I have been participated in a research project of optical inspection system. Via imaging laser optics based digital holograpgic technology and Matlab based algorithm to development a 2D/3D metrology system with a resolution of micro meter order. Dare to accept challenges. Practice and apply what I have learned. Look forward to self-improvement Skills Tracepro Non-imaging optical design Stray light analysis LCD brightness/visual analysis SPEOS Non-imaging optical design Visualizing Situational Simulation
Employed
Full-time / Interested in working remotely
4-6 years
Nation Taiwan Normal University
・
Electro-Optical Engineer
Past
Process Integration Engineer @TSMC Fab12B2019 ~ 2021
・
Yield Improvement Engineer
More than one year
to improve Logic IC performance Experienced in hitherto the most advanced semiconductor process (3nm). Education 2013//07 National Taiwan University M.S. Photonics and Optoelectronics 2006//06 National Taiwan University B.S. Physics Graduate Research Enhancement of Emission Efficiency of Deep-ultraviolet AlGaN Quantum Wells through Surface Plasmon Coupling with an Al Protrusion Array Skills Semiconductor electrical property analysis Advanced metrology tools (SEM, DB/DD and E-beam) Excellent in problem-solving Capable of both working on teams and individual Influential communicating and reporting skills Languages English — Fluent Chinese — Native
Unemployed
Full-time / Interested in working remotely
4-6 years
National Taiwan University
・
M.S. Photonics and OptoelectronicsMetrology Engineer (OCD) @Taiwan Semiconductor Manufacturing Company(TSMC)2018 ~ Present
・
Metrology Engineer
More than one year
Full-time / Interested in working remotely
6-10 years
National Chiao Tung University
・
Display Institute
Offline
Offline
Technical Program Manager @Google2022 ~ Present
・
AI工程師、機器學習工程師、深度學習工程師、資料科學家、Machine Learning Engineer、Deep Learning Engineer、Data Scientist
Within one month
daemon for serving 7 fabs globally. Internal Data-as-a-Service (DaaS) A easy/reuse-able single source API via scala/spark, able to reach more than 20 internal data source. High performance and saving human hour of developing data process > 500 hours . Image Virtual Metrology Fusion the CMOS image and FDC to build up virtual metrology on CMP/DE. Estimated benefit on improving CPK and increase inline inspection to 100%. Implement via Machine Learning/Deep Learning with spark and MLflow for serving model evaluation and tracking. Best Window of
Employed
・
Not open to opportunities
Full-time / Interested in working remotely
6-10 years
國立清華大學
・
Statistics
Project Manager @旺宏電子 (MXIC)2010 ~ 2022
・
Process Engineer
Within six months
Check) 4). Maintain product yield and solve the problem of low yield by experiment. (Product defect improvement yield increase) 5). The project experiment in the yellow light area and the solution for finding abnormality online. 6).Recipe setting: Expose: ASML (Dry/ immersion), Canon. Metrology: CDSEM(Hitachi, Apply) ,Overlay (KLA) 7).Analysis and design for Litho mark . 8).Tool simulation: SMO/PROLITHUS/PRODATA 9).SPIE paper: Reducing the substrate dependent scanner leveling effect in low-k1 contact printing 六月二月 2022 Senior Engineer • 華邦電
Employed
Full-time / Not interested in working remotely
More than 15 years
國立中山大學 National Sun Yat-Sen University
・
化學More than one year
Full-time / Interested in working remotely
10-15 years
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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
Data Scientist
Fields of Employment
Big Data, Artificial Intelligence / Machine Learning, Semiconductor
Work experience
6-10 years
Management
I've had experience in managing 1-5 people
Skills
Languages
English
・
Fluent
Job search preferences
Positions
AI工程師、機器學習工程師、深度學習工程師、資料科學家、Machine Learning Engineer、Deep Learning Engineer、Data Scientist
Job types
Full-time
Locations
Taiwan, USA
Remote
Interested in working remotely
Freelance
Yes, I freelance in my spare time
Educations
School
國立清華大學
Major
Statistics
Kigo Chen
Experienced Data Scientist with a demonstrated history of working in the semiconductors and E-commerce industry. As full-stack Data Scientist, specialized skills in systematic AI/ML solutions from data pipeline, modeling to serving with Scala/Python/Spark and also architecture design. Aim to turn data-driven evidence into bussiness-decision making with systematic AI/ML solutions for my clients.
Micron Technology
Sr. Data Science Engineer
Taichung，TW
Mail: [email protected]
Working Experience
Sr. Data Scientist
Micron Technology, 2016/12 - Current
As a technique lead, leading projects and different teams to develop AI/ML solutions to accelerate yield ramping and virtual metrology, design system architecture for analysis/inference at scale.
Projects
- Chip image pattern recognition.
- Apply various Deep/Machine Learning technique to cluster sub-die issue pattern for users.
- Implement supervised VAE and Xception model for classification with ~90% accuracy.
- Interactive with yield auto diagnostic system, provide root cause in minutes.
- Yield Auto Diagnostic
- Automatically analysis/search the yield opportunity and/or the root cause of issues.
- Hundreds of yield toggle have been found via this system, saving millions of dollars.
- Implement and fusion various machine learning and statistical theory for modeling.
- A particular architecture across scala/spark/python/sparkR/php/angular/spray with celery distributed task queueing system and spark daemon for serving 7 fabs globally.
- Internal Data-as-a-Service (DaaS)
- A easy/reuse-able single source API via scala/spark, able to reach more than 20 internal data source.
- High performance and saving human hour of developing data process > 500 hours.
- Image Virtual Metrology
- Fusion the CMOS image and FDC to build up virtual metrology on CMP/DE.
- Estimated benefit on improving CPK and increase inline inspection to 100%.
- Implement via Machine Learning/Deep Learning with spark and MLflow for serving model evaluation and tracking.
- Best Window of Inline
- Define the critical process and also suggest the best target/window.
- Shorten the New Product Introduction(NPI) cycle, saving $1.3M.
- Implement by Pyspark with own-design algorithm based on biserial rank and moving LOWESS.
- Redesign and improve production ETL performance up to 20x by adopt Hbase and spark mapParition.
- Redesign and improve analysis flow performance up to 5x by adopt sparkR with broadcast and avoid shuffle.
- Create internal DaaS service and API, improve and change the development flow for team members.
- Yield Auto Diagnostic system has been promoted as main yield analysis system in micron and serving thousand users across 7 fabs on 4 countries.
- Publish papers to Micron Technique Seminar.
Data Science Engineer
Projects
- Inline auto-analysis system
- Automatically looking for the tuning knob and source of variation for SPC control charts.
- Improve 10% CPK for critical SPC charts.
- Implement by hierarchical structure random effect model with R and Teradata.
- Predictive Maintenance of furnace tool
- Predict the remain lifetime of furnace parts to prevent wafer scrapped.
- Saving hundreds of wafer before scrapped.
- Implement by gaussian process and random process to predict remain lifetime with python and tableau.
- Wafer Accept Test(WAT) diagnostic system
- Find out the root cause of WAT issue from incoming SPC charts automatically.
- Saving ~20 labor hours per week for PI team.
- Implement by Pyspark/hive.
- Host work shop and roll out the SoV system to whole fab, which improving 10% CPK on all critical charts.
- Main developer in hbase workshop to solve major hadoop issue and redesign hbase tables for improving performance ~10x.
Big Data Analysis
Net Publishing, 2015/09 - 2016/10
- Analysis the data from Facebook ads.
- Tableau Dashboard for FB ads about retain/revenue rate.
- Building up Hadoop and spark system via EC2 on AWS Build up recommend algorithm.
- ETL programing with spark.
- Graph algorithm for integrating the membership data.
- DataBase design for PostgreSQL.
Big Data Analysis
Macronix, 2014/09 - 2015/09
- Develop FDC (Faults Detect and Classification) System and Low Yield Analysis.
- Using parameter of Machine to develop Virtual Metrology system via machine learning for measurement cost reduction
- Statistical method and algorithm development.
- Proposed a PCA-based abnormal detection algorithm
Education
Master of Science (MS), Statistics
National Tsing Hua University, 2011/09 - 2013/06
1. 2012 NCTS Summer Course Student.
2. Dissertation : A Hierarchical Bayesian OSL Algorithm For Positron Emission Tomography Image Reconstruction.
Bachelor's Degree, Mathematics
National Chiao Tung University, 2007/09 - 2011/06
- Granted ACADEMIC ACHIEVEMENT AWARD
Skills
Algorithm
- Statistical Modeling
- random process
- random effect model
- non-parameter test
- GLM
- Machine learning
- Boosting decision tree
- Clustering
- Deep Learning
- CNN
- RNN/LSTM
- Self-attension method
- contrastive learning
Information Technology
- Hadoop Eco-system
- Hive
- Hbase
- Spark
- Software Development Tools
- Shell
- Git
- Docker/podman
- Tableau
- Cloud platform
- GCP
- AWS
- Frameworks
- MLflow
- Airflow
- Spray/Akka
- Tensorflow/Keras
- Sklearn
- SQL/noSQL management and design
Programing Language
- Python
- Scala
- R
Kigo Chen
Experienced Data Scientist with a demonstrated history of working in the semiconductors and E-commerce industry. As full-stack Data Scientist, specialized skills in systematic AI/ML solutions from data pipeline, modeling to serving with Scala/Python/Spark and also architecture design. Aim to turn data-driven evidence into bussiness-decision making with systematic AI/ML solutions for my clients.
Micron Technology
Sr. Data Science Engineer
Taichung，TW
Mail: [email protected]
Working Experience
Sr. Data Scientist
Micron Technology, 2016/12 - Current
As a technique lead, leading projects and different teams to develop AI/ML solutions to accelerate yield ramping and virtual metrology, design system architecture for analysis/inference at scale.
Projects
- Chip image pattern recognition.
- Apply various Deep/Machine Learning technique to cluster sub-die issue pattern for users.
- Implement supervised VAE and Xception model for classification with ~90% accuracy.
- Interactive with yield auto diagnostic system, provide root cause in minutes.
- Yield Auto Diagnostic
- Automatically analysis/search the yield opportunity and/or the root cause of issues.
- Hundreds of yield toggle have been found via this system, saving millions of dollars.
- Implement and fusion various machine learning and statistical theory for modeling.
- A particular architecture across scala/spark/python/sparkR/php/angular/spray with celery distributed task queueing system and spark daemon for serving 7 fabs globally.
- Internal Data-as-a-Service (DaaS)
- A easy/reuse-able single source API via scala/spark, able to reach more than 20 internal data source.
- High performance and saving human hour of developing data process > 500 hours.
- Image Virtual Metrology
- Fusion the CMOS image and FDC to build up virtual metrology on CMP/DE.
- Estimated benefit on improving CPK and increase inline inspection to 100%.
- Implement via Machine Learning/Deep Learning with spark and MLflow for serving model evaluation and tracking.
- Best Window of Inline
- Define the critical process and also suggest the best target/window.
- Shorten the New Product Introduction(NPI) cycle, saving $1.3M.
- Implement by Pyspark with own-design algorithm based on biserial rank and moving LOWESS.
- Redesign and improve production ETL performance up to 20x by adopt Hbase and spark mapParition.
- Redesign and improve analysis flow performance up to 5x by adopt sparkR with broadcast and avoid shuffle.
- Create internal DaaS service and API, improve and change the development flow for team members.
- Yield Auto Diagnostic system has been promoted as main yield analysis system in micron and serving thousand users across 7 fabs on 4 countries.
- Publish papers to Micron Technique Seminar.
Data Science Engineer
Projects
- Inline auto-analysis system
- Automatically looking for the tuning knob and source of variation for SPC control charts.
- Improve 10% CPK for critical SPC charts.
- Implement by hierarchical structure random effect model with R and Teradata.
- Predictive Maintenance of furnace tool
- Predict the remain lifetime of furnace parts to prevent wafer scrapped.
- Saving hundreds of wafer before scrapped.
- Implement by gaussian process and random process to predict remain lifetime with python and tableau.
- Wafer Accept Test(WAT) diagnostic system
- Find out the root cause of WAT issue from incoming SPC charts automatically.
- Saving ~20 labor hours per week for PI team.
- Implement by Pyspark/hive.
- Host work shop and roll out the SoV system to whole fab, which improving 10% CPK on all critical charts.
- Main developer in hbase workshop to solve major hadoop issue and redesign hbase tables for improving performance ~10x.
Big Data Analysis
Net Publishing, 2015/09 - 2016/10
- Analysis the data from Facebook ads.
- Tableau Dashboard for FB ads about retain/revenue rate.
- Building up Hadoop and spark system via EC2 on AWS Build up recommend algorithm.
- ETL programing with spark.
- Graph algorithm for integrating the membership data.
- DataBase design for PostgreSQL.
Big Data Analysis
Macronix, 2014/09 - 2015/09
- Develop FDC (Faults Detect and Classification) System and Low Yield Analysis.
- Using parameter of Machine to develop Virtual Metrology system via machine learning for measurement cost reduction
- Statistical method and algorithm development.
- Proposed a PCA-based abnormal detection algorithm
Education
Master of Science (MS), Statistics
National Tsing Hua University, 2011/09 - 2013/06
1. 2012 NCTS Summer Course Student.
2. Dissertation : A Hierarchical Bayesian OSL Algorithm For Positron Emission Tomography Image Reconstruction.
Bachelor's Degree, Mathematics
National Chiao Tung University, 2007/09 - 2011/06
- Granted ACADEMIC ACHIEVEMENT AWARD
Skills
Algorithm
- Statistical Modeling
- random process
- random effect model
- non-parameter test
- GLM
- Machine learning
- Boosting decision tree
- Clustering
- Deep Learning
- CNN
- RNN/LSTM
- Self-attension method
- contrastive learning
Information Technology
- Hadoop Eco-system
- Hive
- Hbase
- Spark
- Software Development Tools
- Shell
- Git
- Docker/podman
- Tableau
- Cloud platform
- GCP
- AWS
- Frameworks
- MLflow
- Airflow
- Spray/Akka
- Tensorflow/Keras
- Sklearn
- SQL/noSQL management and design
Programing Language
- Python
- Scala
- R