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Avatar of 奸克勞德.
Avatar of 奸克勞德.
Past
Project Manager @ATX Semiconductors Suzhou
2022 ~ 2023
Project Manager
Within one month
took charge of NPI of B company (MEMS device) at the same period. Team members & project quantities: 6 persons with 26 projects. Took charge of NPI leader of N company (Isolator & MEMS devices) products from Jul’22 to Apr’23. Team members & project quantities: 5 persons with 20 projects. AugJul 2022 Business Manager ATX Semiconductors Suzhou China Took charge of business development (Quote of RFQ/AOD definition/customer relationship maintaining/TAM-SAM-PAM control/NDA & Agreement & MOU establishment) of US customers (main focus on T & S companies) from 2018 toLed revenue of
Word
PowerPoint
Excel
Unemployed
Ready to interview
Full-time / Interested in working remotely
More than 15 years
國立臺灣海洋大學 National Taiwan Ocean University
Materials Science
Avatar of 梁家齊.
Avatar of 梁家齊.
Site Reliability Engineer @神腦國際企業股份有限公司 Senao International Co., Ltd.
2023 ~ Present
SRE /DevOp engineer
Within one month
and user experience. 2021/03~2021/09: Operations and Maintenance Expanded responsibilities to include maintenance of the company's product portfolio, focusing on regular maintenance and troubleshooting activities. Played a crucial role in rapidly resolving critical issues, reducing downtime, and ensuring continuous customer service. 2021/09~Present: Supervising Engineer Promoted to a supervisory role, overseeing a wide scope of nearly 20 projects in the operations department. Strategically allocated manpower and resources, optimizing team efficiency and project delivery schedules. Proactively addressed daily challenges and errors, prioritizing swift resolutions to en...
Python
AWS
JavaScript
Employed
Not open to opportunities
Full-time / Interested in working remotely
4-6 years
大華科技大學
電子工程
Avatar of Jason Chiang.
Avatar of Jason Chiang.
Go-To-Market Manager & Pre-Sales Manager @FUJIFILM Business Innovation Taiwan
2023 ~ Present
行銷策略主管
Within one month
to explore new business opportunities via internal or external events, and present as a solution partner to approach customers and vendors. I have over three years of experience in leading and managing teams for product marketing, business solutions, and pre-sales. I have a strong background in system integration, software projects, management and development schedule control, printing solutions, and document management systems. I am skilled in internet information services, system analysis, system development, system testing, system training, system implementation, and business development. My mission is to deliver innovative and value-added solutions and services to the
Communication
Business Development
Business Strategy
Employed
Open to opportunities
Full-time / Not interested in working remotely
10-15 years
Chung Hua University (CHU) 中華大學
Computer Science and Information Engineering
Avatar of the user.
Avatar of the user.
Senior software test engineer @資拓宏宇國際股份有限公司(International Integrated Systems, Inc.)
2022 ~ Present
Software Test Engineer, Software QA Engineer
Within one month
LTE
PTCRB
GCF
Employed
Ready to interview
Full-time / Interested in working remotely
10-15 years
Chung Hua University (CHU)
Transportation and Logistics Management
Avatar of Yu-Chi, Du.
Avatar of Yu-Chi, Du.
Past
Account Executive @DIGITIMES電子時報(大椽股份有限公司)
2020 ~ 2023
PM/產品經理/專案經理/商業分析師/決策分析師
Within two months
clients on good terms. AugustMay 2020 Event Specialist DIGITIMES Inc. Organized an event for a hundred attendees independently within less than three months of joining, as the designed project lead by multiple key clients. Earned the annual Outstanding Employee Award within 16 months, overseeing nearly a hundred projects, ranging from large-scale seminar with over a thousand attendees to small closed-door executive round-table meetings. Excelled in event execution and management to ensure successful delivery of projects, including scheduling, supplier integration, cost optimization, personnel recruitment and interviews, as well as project reviews and feedback.
Word
PowerPoint
Excel
Unemployed
Ready to interview
Full-time / Interested in working remotely
4-6 years
國立臺灣海洋大學 National Taiwan Ocean University
航運管理學系
Avatar of the user.
Avatar of the user.
Software Engineer @OpenNet Limited
2024 ~ Present
Senior Software Engineer
Within one month
Java
Spring Framework
Spring Boot
Employed
Open to opportunities
Full-time / Interested in working remotely
10-15 years
資策會_財團法人資訊工業策進會
Java軟體工程師就業養成班
Avatar of 高鈺傑.
Avatar of 高鈺傑.
Past
資深前端工程師 @比房科技
2022 ~ 2024
Frontend developer.
Within one month
Ethan, Kao Frontend Engineer Taipei City, Taiwan Github: github.com/ethansnow2012 Email: [email protected] Mobile:Day of Birth:Mile StonesSide Project - CodeBaseJsonLaunched my own SaaS service, Victor Bar, launched at www.victorbar.twFreelance project: Live streaming comment integration and marquee effects (used in presidential electionsSuccessfully contributed code to a major open-source project (vueuseFirst independently completed commercial project (website developmentSmall-scale full stack prototype project, Ashenone.js (Beta), later used for freelance projects and side projectsMaster's thesis published: "Design of Cloud-based Digit Recognition using Partially Connected Neural Networks." Work
Frontend
Backend
Product
Unemployed
Ready to interview
Full-time / Interested in working remotely
4-6 years
暨南大學
電機工程
Avatar of the user.
Avatar of the user.
資深主任工程師 @長青資訊
2017 ~ Present
資深工程師
Within one month
golang
MySQL
Docker
Employed
Ready to interview
Full-time / Interested in working remotely
6-10 years
勤益科技大學
軟體工程
Avatar of Justin Liu.
Avatar of Justin Liu.
Manager @GOMAJI 夠麻吉
2017 ~ Present
Project Lead / Tech Lead / Team Lead / Technical Manager
Within one month
Justin Liu GOMAJI 夠麻吉 經理 A technical leader with extensive IT management experience, skilled in driving technological innovation, optimizing development processes, and leading cross-functional teams to achieve business objectives. In my previous roles, I successfully led a team of 10, including web developers, App developers, DevOps, data engineers, and API developers, to accomplish several key projects. I have a profound understanding and practical experience in technical architecture, cloud architect solutions(GCP and AWS), CI/CD and Docker, and data analytics, and committed to enhancing team efficiency and product quality. 具有豐
Team Lead
Management Team
Cloud Architecture
Employed
Ready to interview
Full-time / Interested in working remotely
10-15 years
Shih Hsin University
Management Information Systems, General
Avatar of Kris Yang.
Avatar of Kris Yang.
Principal Engineer @立錡科技
2022 ~ 2024
工程師
Within one month
from reverse connection of power source • USB2 Low dropout regulator with differential amplifier • USA1 Low dropout regulator Reason for leaving: Acquired by Airoha, but I chose RICHTEK Senior Engineer • 原相科技 一月二月 2019 Based on TSMC 40nm, design Bandgap reference, LDO for IO power, Battery Back-up Switch, Li-on Battery Charger, RC Oscillator (32KHz), Touch Sensor (analog part). Integration task for PMIC in SoC by AMS. Production task for ESD, HTOL, eFuse, and FA with InGaAs / ORBICH. Projects and products: • RRU267, BT audio IC for TWS ea...
Spectre
AMS
Employed
Ready to interview
Full-time / Interested in working remotely
10-15 years
National Chi Nan University
電機工程學系

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AI Engineer
Logo of 玉山銀行智能金融處 (Intelligent Finance Dept., E-SUN Bank ).
玉山銀行智能金融處 (Intelligent Finance Dept., E-SUN Bank )
2020 ~ Present
Taipei, Taiwan
Professional Background
Current status
Employed
Job Search Progress
Professions
Data Engineer, Machine Learning Engineer
Fields of Employment
Software, Banking
Work experience
1-2 years work experience (4-6 years relevant)
Management
I've had experience in managing 1-5 people
Skills
Research
Music Information Retrieval
Natural Language Processing
Information Retrieval
Machine Learning
python programming
C++ Language
Java
Tensorflow (Keras)
Numpy Data Manipulation
sklearn
Linux
Verilog
Arduino
Github
Airflow
Design Patterns
Docker
Python Programming
PyTorch
Pytorch Lightning
PostgreSQL
Languages
English
Intermediate
Job search preferences
Positions
Machine Learning Researcher / Engineer
Job types
Full-time
Locations
台灣台北市, 台灣新竹市
Remote
Interested in working remotely
Freelance
Yes, I freelance in my spare time
Educations
School
National Taiwan University
Major
Graduate Institute of Communication Engineering
Print
Zx6amgvjmkxenvsveonw

Jeffrey Lin (林奕勳)

[email protected] TW, Taipei

CAREER SUMMARY 


  • 6+ years of deep learning research and development experience, with a strong ability in prototyping, evaluation, and deployment of models, in both academical and industrial environment.
  • 2+ years of financial AI development experience, specialized in the design of python API, SDK, and framework for optimizing the deployment flow of data science, ETL, and machine learning pipelines. 
  • 1+ year of participation in the technology management assistant bootcamp, with real-experience on business user 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: 
    1. Design a lightweight ETL python framework enabling data scientists to seamlessly deploy their pandas/SQL processes to airflow in a maintainable format.
    2. Reduce the maintenance and optimization cost of AI projects with integration of customizable data validation, metadata registration, and time/memory-profiling tools. 
    3. Ensure flexibility and extensibility in pandas-like packages (such as CuDF, Polars, PySpark, etc) for future parallelizability, targeting 1000X speedup.
  • Responsibility: Coordinate the design and development of ETL framework components. Give instruction to ETL research intern and provide code review and design guidance for the project participants.
  • Accomplishment: Have wrapped the framework into a workable python package and successfully imported it into two production projects, with ETL business logic automatically rendered on the Airflow UI in an easily traceable way.

Enhance and Maintain House Price and Mortgage Loan API

2022/2-2022/7

  • Responsibility: API Service maintenance, code refactoring, and model performance enhancement for the house-price/mortgage loan automatic appraisal system. 
  • Accomplishment: 
    1. Encrypted API re-routing: 
      • Re-route the internal mortgage API service as an encrypted API service for external client. Understand and implement the RSA/AES double encryption protocol under spec-ambiguous situation by investigating client-side PHP code. 
    2. Code refactor and migration: 
      • Reduce the cognitive complexity of service code from 1000-line-single-file situation by thoroughly understand the business logic and refactoring it into chain-of-command design pattern. 
      •  Design common module with logging mechanism to reduce future maintenance cost. 
      •  Draw and carry out the code migration plan without compromising the 24/7-criteria. 
    3. Re-design of house appraisal model for interpretability:  
      • Coordinate with research institution and business unit to build a business interpretable deep learning model. 
      • Re-design the loss function with regularization term to meet the legal requirements. 
      • Reducing the model inference time by adopting Google’s state-of-the-art nearest neighbor algorithm for referential house searching.  

Scalable ETL Pipeline for Credit Loan Marketing Data

2021/8-2022/1

  • Responsibility: 
    1. Orchestrate the cross-department coordination of the development process.
    2. Design a low-code python-SQL interface for the data-analyst of business unit and provide development and CICD guidance.
    3. Ensure business-logic-extensibility in considerations of future marketing campaign. 
    4. Ensure timely delivery of 7 million customer campaign data under 1day computation criteria.
  • Accomplishment: 
    1. Have helped the data-analyst of business unit successfully incorporate new campaign business logic into the production pipeline.
    2. A comprehensive tutorial to the development interface and CICD toolkits, enabling smooth new feature extension with zero-guidance.
    3. Significantly speedup the pipeline from 5d to 8h via map-reduce parallelization with multiple Airflow worker nodes. 

PyTorch development framework for Industry-Academy Cooperation

2021/4-2022/8

  • Goal: Develop Pytorch model development framework to reduce the academy-to-company code migration cost.
  • Features:
    1. Support training, validation, testing, weight/performance inspection, and  check-pointing of models with different architecture.
    2. Fixed experimentation flow for all models with formatted running script and folder structure, to enhance code readability and reproducibility.
    3. Support lazy evaluation and visualization of data pre-processing, avoid re-generation of data in experimentation scenario.
    4. Supporting parallel model hyper-parameter tuning via Ray (a general python parallelization framework).
  • Tools: Pytorch-lightning, Ray, TensorBoard, pyflow-viz

2D Indoor Positioning System through Android App

2014/1-2015/1 

Instructor: Professor Ren-Song Tsay
  • Survey on the state-of-the-art indoor positioning technologies and write a project proposal. Investigate the relationship between distance and the amplitude of the Bluetooth signal through experiment. Develop an android app that fuses the signals of Bluetooth and Geo sensor for position estimation. 
  • Score: A+ 

RESEARCH

Develop techniques applicable to the music industry and design experiments for proof-of-concept

2015/9-2020/1  

Instructor: Professor Homer H. Chen  

  • Developed a context-based tag propagation method to reduce the training noise and successfully improved a deep music auto-tagging model (SampleCNN) by 25.8% in MAP
  • Enhance the robustness of the tag propagation method and successfully extended the improvement to two other neural networks (CRNN and 2D-CNN) with the increase of improvement reaches 6.5%, 4.9%, and 5.5% (for SampleCNN, CRNN, and 2D-CNN, respectively)
  • Responsibility: Build up the experiment acceleration (via GPU) environment on a Linux-based server; Design the model evaluation and training strategy with TensorFlow. 
  • Conduct error analysis to understand the problem in the training data using Matplotlib and Seaborn. Tune the hyper-parameters during model development. Accelerate the evaluation and data visualization process using ray, a parallel processing package. 

Research proposal in music for lab funding from the Ministry of Science and Technology (MOST)

2015/9-2017/10 

EDUCATION 

M.S. in Graduate Institute of Communication Engineering, National Taiwan University 

2015/9 ~ 2020/1 

  • Multimedia Signal Processing (A) 
  • Special Topics on Internet of Things (A): Develop an IOT product and demonstrate its functionality. 
  • Computational Methods and Tools for Data Science (A): Familiarize myself with basic EDA (exploratory data analysis) techniques including PCA and t-SNE.

B.S. in Electrical Engineering Department, National Tsing Hua University

2011/9 ~ 2015/6

  • Programming Classes: Logic Design (A+) / Logic Design Lab (A+) / Embedding System Lab (A+)  / Computer Programming Design (A+)
  • Math Classes: Calculus I&II (A+/A+) Linear Algebra (A+) / Numerical Analysis (A) 

SKILLS


    • Programming Skills: Design Patterns、ETL、Image Building、Machine Learning、Parallel Acceleration、Python SDK Design、Refactoring 
    • Development Environment: Linux, Docker, Oracle-Cloud, Visual Studio Code 
    • Computer Languages: Python、C++、SQL、JAVA 
    • Tools for Machine Learning and Data Science: Pytorch、Pytorch-Lightning、CuDF (GPU-accelerating dataframe)、Pandas、Networkx、LightGBM、DeepGraphLibrary 
    • Tools for Model Serving, Deployment, and Data Pipeline: Airflow、FastAPI、 k8S、PostgresDB、RedisGraph、Neo4j、Ray For Collaboration: Github、Azure DevOps 

Resume
Profile
Zx6amgvjmkxenvsveonw

Jeffrey Lin (林奕勳)

[email protected] TW, Taipei

CAREER SUMMARY 


  • 6+ years of deep learning research and development experience, with a strong ability in prototyping, evaluation, and deployment of models, in both academical and industrial environment.
  • 2+ years of financial AI development experience, specialized in the design of python API, SDK, and framework for optimizing the deployment flow of data science, ETL, and machine learning pipelines. 
  • 1+ year of participation in the technology management assistant bootcamp, with real-experience on business user 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: 
    1. Design a lightweight ETL python framework enabling data scientists to seamlessly deploy their pandas/SQL processes to airflow in a maintainable format.
    2. Reduce the maintenance and optimization cost of AI projects with integration of customizable data validation, metadata registration, and time/memory-profiling tools. 
    3. Ensure flexibility and extensibility in pandas-like packages (such as CuDF, Polars, PySpark, etc) for future parallelizability, targeting 1000X speedup.
  • Responsibility: Coordinate the design and development of ETL framework components. Give instruction to ETL research intern and provide code review and design guidance for the project participants.
  • Accomplishment: Have wrapped the framework into a workable python package and successfully imported it into two production projects, with ETL business logic automatically rendered on the Airflow UI in an easily traceable way.

Enhance and Maintain House Price and Mortgage Loan API

2022/2-2022/7

  • Responsibility: API Service maintenance, code refactoring, and model performance enhancement for the house-price/mortgage loan automatic appraisal system. 
  • Accomplishment: 
    1. Encrypted API re-routing: 
      • Re-route the internal mortgage API service as an encrypted API service for external client. Understand and implement the RSA/AES double encryption protocol under spec-ambiguous situation by investigating client-side PHP code. 
    2. Code refactor and migration: 
      • Reduce the cognitive complexity of service code from 1000-line-single-file situation by thoroughly understand the business logic and refactoring it into chain-of-command design pattern. 
      •  Design common module with logging mechanism to reduce future maintenance cost. 
      •  Draw and carry out the code migration plan without compromising the 24/7-criteria. 
    3. Re-design of house appraisal model for interpretability:  
      • Coordinate with research institution and business unit to build a business interpretable deep learning model. 
      • Re-design the loss function with regularization term to meet the legal requirements. 
      • Reducing the model inference time by adopting Google’s state-of-the-art nearest neighbor algorithm for referential house searching.  

Scalable ETL Pipeline for Credit Loan Marketing Data

2021/8-2022/1

  • Responsibility: 
    1. Orchestrate the cross-department coordination of the development process.
    2. Design a low-code python-SQL interface for the data-analyst of business unit and provide development and CICD guidance.
    3. Ensure business-logic-extensibility in considerations of future marketing campaign. 
    4. Ensure timely delivery of 7 million customer campaign data under 1day computation criteria.
  • Accomplishment: 
    1. Have helped the data-analyst of business unit successfully incorporate new campaign business logic into the production pipeline.
    2. A comprehensive tutorial to the development interface and CICD toolkits, enabling smooth new feature extension with zero-guidance.
    3. Significantly speedup the pipeline from 5d to 8h via map-reduce parallelization with multiple Airflow worker nodes. 

PyTorch development framework for Industry-Academy Cooperation

2021/4-2022/8

  • Goal: Develop Pytorch model development framework to reduce the academy-to-company code migration cost.
  • Features:
    1. Support training, validation, testing, weight/performance inspection, and  check-pointing of models with different architecture.
    2. Fixed experimentation flow for all models with formatted running script and folder structure, to enhance code readability and reproducibility.
    3. Support lazy evaluation and visualization of data pre-processing, avoid re-generation of data in experimentation scenario.
    4. Supporting parallel model hyper-parameter tuning via Ray (a general python parallelization framework).
  • Tools: Pytorch-lightning, Ray, TensorBoard, pyflow-viz

2D Indoor Positioning System through Android App

2014/1-2015/1 

Instructor: Professor Ren-Song Tsay
  • Survey on the state-of-the-art indoor positioning technologies and write a project proposal. Investigate the relationship between distance and the amplitude of the Bluetooth signal through experiment. Develop an android app that fuses the signals of Bluetooth and Geo sensor for position estimation. 
  • Score: A+ 

RESEARCH

Develop techniques applicable to the music industry and design experiments for proof-of-concept

2015/9-2020/1  

Instructor: Professor Homer H. Chen  

  • Developed a context-based tag propagation method to reduce the training noise and successfully improved a deep music auto-tagging model (SampleCNN) by 25.8% in MAP
  • Enhance the robustness of the tag propagation method and successfully extended the improvement to two other neural networks (CRNN and 2D-CNN) with the increase of improvement reaches 6.5%, 4.9%, and 5.5% (for SampleCNN, CRNN, and 2D-CNN, respectively)
  • Responsibility: Build up the experiment acceleration (via GPU) environment on a Linux-based server; Design the model evaluation and training strategy with TensorFlow. 
  • Conduct error analysis to understand the problem in the training data using Matplotlib and Seaborn. Tune the hyper-parameters during model development. Accelerate the evaluation and data visualization process using ray, a parallel processing package. 

Research proposal in music for lab funding from the Ministry of Science and Technology (MOST)

2015/9-2017/10 

EDUCATION 

M.S. in Graduate Institute of Communication Engineering, National Taiwan University 

2015/9 ~ 2020/1 

  • Multimedia Signal Processing (A) 
  • Special Topics on Internet of Things (A): Develop an IOT product and demonstrate its functionality. 
  • Computational Methods and Tools for Data Science (A): Familiarize myself with basic EDA (exploratory data analysis) techniques including PCA and t-SNE.

B.S. in Electrical Engineering Department, National Tsing Hua University

2011/9 ~ 2015/6

  • Programming Classes: Logic Design (A+) / Logic Design Lab (A+) / Embedding System Lab (A+)  / Computer Programming Design (A+)
  • Math Classes: Calculus I&II (A+/A+) Linear Algebra (A+) / Numerical Analysis (A) 

SKILLS


    • Programming Skills: Design Patterns、ETL、Image Building、Machine Learning、Parallel Acceleration、Python SDK Design、Refactoring 
    • Development Environment: Linux, Docker, Oracle-Cloud, Visual Studio Code 
    • Computer Languages: Python、C++、SQL、JAVA 
    • Tools for Machine Learning and Data Science: Pytorch、Pytorch-Lightning、CuDF (GPU-accelerating dataframe)、Pandas、Networkx、LightGBM、DeepGraphLibrary 
    • Tools for Model Serving, Deployment, and Data Pipeline: Airflow、FastAPI、 k8S、PostgresDB、RedisGraph、Neo4j、Ray For Collaboration: Github、Azure DevOps