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Avatar of BO-GUAN JHOU.
Avatar of BO-GUAN JHOU.
Past
Backend Software Engineer @格拉墨科技有限公司
2022 ~ 2024
Software Engineer
Within one month
SQL queries to enhance processing speed and efficiency. • Streamlined the CI process to enable automated Git merge operation. • Developed a binary search-based logger to improve large file download speed. • Automated operational workflows by creating key scripts in Java. National Taiwan Normal University Graduate Student SeptAug• Natural Language Processing (NLP) Research Project: Focused on sentiment analysis to automatically identify positive or negative sentiments from user reviews. • Deep Learning Model Application: Utilized Convolutional Neural Network (CNN) architecture to enhance the accuracy of sentiment classification. • Word Embedding Techniques: Conducted in-depth research on word embedding techniques
Java
SQL
Spring Boot
Unemployed
Ready to interview
Taiwan
Full-time / Interested in working remotely
4-6 years
國立臺灣師範大學 National Taiwan Normal University
Computer Science & Information Engineering
Avatar of Ryan.
Avatar of Ryan.
Past
Senior Software Engineer @Foxit Software Inc.
2021 ~ 2024
Software Engineer / Backend Engineer
Within one month
Ryan Zheng I have over 8 years of experience in software development, specializing in web development with full-stack capabilities. In the early stages of my career, I was mainly involved in project development, but now I focus on system architecture design and leading and assisting teams in development. I have extensive experience in DevOps, big data, and natural language processing, and I am deeply passionate about data technology. In my spare time, I often develop tools to test new technologies, continually exploring new innovations and maintaining a sharp technical acumen. Currently, I am focused on
Next.js
NestJS
Kotlin
Unemployed
Ready to interview
Taiwan
Full-time / Remote Only
6-10 years
National United University
Department of Electronic Engineering
Avatar of TaiRong.
Avatar of TaiRong.
Past
資深軟體研發工程師 @緯創資通股份有限公司
2019 ~ 2023
軟體工程師
Within two months
improving insights delivery speed by 20%. - Designed a high-performance data warehouse on AWS, improving cross-team data accessibility and reducing query times by 35%. EDUCATION National Taipei University of Technology • Master’s Degree in Electronic Engineering MaySep 2019 | Taipei, Taiwan • Specialized in developing deep learning models for Natural Language Processing (NLP). • Developed classification systems for speech/audio using deep learning techniques. • Conducted research on image classification and recognition through deep learning methodologies. CERTIFICATIONS • Google IT Automation with Python, Coursera - FebPATENT • ABNORMAL SOUND DETECTION METHOD AND APPARATUS (USA1) - FebSKILLS Programming & Frameworks : Python, TensorFlow, Keras
+python
tensorflow
keras
Unemployed
Ready to interview
Taiwan
Full-time / Interested in working remotely
4-6 years
台北科技大學
機器學習, 訊號處理
Avatar of the user.
Avatar of the user.
工程師 @中華航空公司 China Airlines
2015 ~ 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
Python
C#
Git
Employed
Ready to interview
Taiwan
Full-time / Interested in working remotely
6-10 years
國立台灣大學 National Taiwan University
電信工程學研究所
Avatar of the user.
Avatar of the user.
Past
Full Stack Web Developer @Chunk Labs
2018 ~ Present
DevOps Engineer, Site Reliability Engineer , Full Stack Web Developer , Wordpress Developer
Within one month
Microsoft Office
Communication
Google Drive
Unemployed
Ready to interview
Taiwan・Pakistan
Full-time / Interested in working remotely
4-6 years
AlNafi UK
Computer Science, Elastic Search, Deep dive Linux, Cyber Security, System Administration, RHEL and Ubuntu, System Operations, Python , Flask , Selenium, ISO 270001, Vulnerability Assessment,, SCADA/ ICS security ,, Calculus , Algebra ,, Machine Learning Model Development and Deployment, Computer Vision , Natural language Processing, Docker, Ansible, Vagrant, Gradle , Terraform, CI/CD CircleCI , Github , jenkins,, Kubernetes Cloud and App Development,, Hands On Labs for All courses, AWS DevOps, Azure DevOps
Avatar of Patrick Hsu.
Avatar of Patrick Hsu.
Algorithm Research & Development @適着三維科技股份有限公司 TG3D Studio Inc.
2021 ~ Present
Software Engineer
Within two months
Patrick Hsu AI Research & Development As a seasoned AI engineer with six years of experience, I specialize in computer vision, 3D body model reconstruction, generative AI, and possessing some knowledge in natural language processing (NLP). | New Taipei City, [email protected] Work Experience (6 years) Algorithm Research & Design• TG3D Studio MayPresent A skilled engineer specialized in computer vision and generative AI with experience in developing and training AI models for digital fashion applications. Body AI: Virtual Try On Integrated cutting-edge technologies such as Stable Diffusion, ControlNet, and Prompt Engineering to create a sophisticated system for
Python
AI & Machine Learning
Image Processing
Employed
Ready to interview
Full-time / Interested in working remotely
4-6 years
國立台灣大學
生物產業機電工程所
Avatar of 姚璇亨.
Avatar of 姚璇亨.
商業分析師 @凱基商業銀行股份有限公司
2021 ~ Present
Data Analyst、Data Engineer、Data Scientist、Customer Experience Analyst
Within one month
hours daily for medical professionals. Calibrated and deployed a machine learning regression model for waveform predictions, enhancing accuracy for 500+ blood pressure monitors. Research Assistant Department of Computer Science, NCCU • August 2019–July 2020 Conducted opinion mining on 2,500 wine reviews using Transformer-based pre-trained language models. Delivered NLP coursework guidance to over 70 students as a Teaching Assistant. Account Manager Leo Burnett Taiwan • February 2017–May 2019 Orchestrated rebranding strategies for Chia Shin Cement Group, resulting in the only successful brand declaration campaign in five years. Localized branding materials and executed
Python
English as a Second Language (ESL)
Excel
Employed
Open to opportunities
Taiwan
Full-time / Interested in working remotely
4-6 years
國立政治大學(National Chengchi University)
數位內容
Avatar of the user.
Avatar of the user.
Aircraft Weight & Balance Engineer @漢翔
2019 ~ 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
Word
PowerPoint
Excel
Employed
Open to opportunities
Taiwan
Full-time / Interested in working remotely
6-10 years
National Chung Hsing University
Master's Program in Artificial Intilligence and Data Science
Avatar of 林樂瑞.
Avatar of 林樂瑞.
Digital Transformation Analyst @MAA CONSULTANTS LTD
2024 ~ Present
實習生
Within one month
but have also refined my teamwork and project management skills. Currently, I am a part-time digital transformation engineer at MAA Consultant Co., Ltd., where I focus on driving digital innovation and improving operational efficiency. I have cultivated a comprehensive professional background that encompasses data analysis, natural language processing (NLP), statistical analysis, and scientific simulation. My proficiency in programming languages such as Python, C++, and MATLAB enables me to design, develop, and maintain sophisticated software applications. During my time at university, I had the privilege of serving as the president of the
Microsoft Office
Communication
Python
Studying
Open to opportunities
Taiwan
Part-time / Interested in working remotely
4-6 years
National Tsing Hua University
Sports Studies
Avatar of William Chao.
Avatar of William Chao.
Android Team Lead @104 Corporation
2018 ~ Present
Senior Software Engineer, Principal Software Engineer, Engineering Manager
Within two months
future organizational growth - Successfully retained a 4.6-star user rating and boosted job application rates by 10%. - Collaborated with the product owner, UI/UX designer, and sales department to design the AD system. • AI Implementation: Created an AI tool to convert UI test cases from natural language into UiAutomator2 scripts, seamlessly integrating them into the CICD process. This resulted in a 90% acceleration UiAutomator2 test case generation. • Technology Introduction: - Flutter: Developed an in-house App Dashboard to consolidate Android/iOS/backend CICD build statuses and test report outcomes. Single-handedly
Android
Software Development
Software Architecture
Employed
Open to opportunities
Taiwan
Full-time / Interested in working remotely
More than 15 years
UNSW
Computer software, network and security engineering

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Within one month
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
台灣
Professional Background
Current status
Employed
Job Search Progress
Open to opportunities
Professions
Data Engineer, Big Data Engineer, Data Scientist
Fields of Employment
Software, Banking
Work experience
2-4 years
Management
I've had experience in managing 1-5 people
Skills
Research
Machine Learning
python programming
Numpy Data Manipulation
Linux
Github
Airflow
Design Patterns
Docker
Python Programming
PyTorch
Pytorch Lightning
SQL Database
PostgresSQL
Neo4j
Cypher coding
Kibana Dashboard
Grafana
FastAPI(Python)
Communication
Languages
English
Intermediate
Job search preferences
Positions
Data Analysis、 Data Engineer、Database 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 python software design experience, focusing on large-scale AI product development, specialized in the design of developer framework, SDK, and testing methods for optimizing the research/deployment flow of data science, ETL, and machine learning pipelines. 
  • 4+ years of financial AI development experience, as the developer, product owner, and techical leader of data science department, participate in the prototyping, evaluation, and deployment phase of various data products, including house price and credit loan estimation services, and 360 degree customer knowledge graph data services.
  • 2+ 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 and data engineering community.

SKILLS


  • Programming & Software Development: Design Patterns、ETL、Image Building、Machine Learning、Parallel Acceleration、Python SDK Design、Refactoring 
  • Development Environment: Linux, Docker, GCP, K8S
  • 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 、Pub/Sub、Cloud Function
  • CICD: Github Action、Azure DevOps

PROFESSIONAL EXPERIENCE

AI Engineer - ESUN BANK, Intelligent Finance Technology Department

2020/8-Present

Web Development & API Integration: 
  • Designed and developed backend services using FastAPI, integrating AI models into scalable applications.
  • Developed interactive web interfaces for data visualization and exploration using matplotlib.
Data Engineering: 
  1. Built and managed ETL pipelines with Airflow to support machine learning workflows, reducing data processing latency by 55%.
  2. Integrated relational and graph databases (PostgreSQL, Neo4j) into production systems for real-time analytics.
AI Model Development: 
  • Prototyped and deployed LLM-based tools, including regex-inference and jsonschema-inference to automate schema generation and data validation tasks. 
  • Developed graph-based data products to analyze customer risk and value, connecting 7 entity types with 15 relationship types.
Key Accomplishments:
  • Reduced data pipeline execution times by 15x through optimization and parallelization techniques.
  • Successfully deployed multiple PyPI packages, enhancing team productivity and enabling seamless AI operations.

SELECTED PROJECTS

Web-crawling Data Platform

2024/10-Present

  • Built a cloud-native web-crawling platform using GCP Cloud Functions and Terraform for automated data collection.
  • Increased throughput by 200x through multi-threading and session ID rotation, ensuring reliable data delivery.

Scale-up Data Pipeline for Graph Data as a Service 

2024/1-2024/12

  • Refactored RDB-to-GraphDB pipelines to improve scalability and reduce update latency from 2.7 hours to 1.2 hours using incremental updates.
  • Decomposed ETL workflows into 5 functional layers, enabling efficient testing and validation.  

Prototyping and Product Landing of Graph Data Services

2023/1-2023/12

  • Build a graph data warehouse to support customer list and value exploration, connecting multiple data sources.
  • Develop a Neo4j-based environment to enable advanced pattern matching for risk analysis. 

Next-Generation ETL Framework for Data Science Team

2022/7-2022/12

  • Designed a lightweight ETL Python framework to support seamless deployment of data science workflows into Airflow.
  • Integrated data validation and metadata registration tools, reducing debugging and maintenance costs by 70%.

Enhance and Maintain House Price & Mortgage Loan API

2022/2-2022/7

  • Refactored legacy API code to improve maintainability and scalability using a chain-of-command design pattern.
  • Re-designed deep learning models for house price appraisal, improving interpretability while meeting legal compliance.

EDUCATION 

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

2015/9 ~ 2020/1 

  • Focus: Machine Learning, Multimedia Signal Processing, Data Science
  • Thesis: Tag Propagation and Cost-Sensitive Learning for Music Auto-Tagging

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) 

RESEARCH

Deep Learning for Music Auto-Tagging – National Taiwan University

2015/9-2020/1  

Instructor: Professor Homer H. Chen  

  • Improved a deep music auto-tagging model (SampleCNN) by 25.8% MAP through context-based tag propagation.
  • Published work in IEEE Transactions on Multimedia and EUSIPCO.

PUBLICATIONS

Y.-H. Lin, C.-H. Chung, and H.H. Chen, "Playlist-Based Tag Propagation for Improving Music Auto-Tagging", EUSIPCO, 2018.

Y.-H. Lin and H.H. Chen, "Tag Propagation and Cost-Sensitive Learning for Music Auto-Tagging", IEEE Transactions on Multimedia, 2021.

Resume
Profile
Zx6amgvjmkxenvsveonw

Jeffrey Lin (林奕勳)

[email protected] TW, Taipei

CAREER SUMMARY 


  • 6+ years of python software design experience, focusing on large-scale AI product development, specialized in the design of developer framework, SDK, and testing methods for optimizing the research/deployment flow of data science, ETL, and machine learning pipelines. 
  • 4+ years of financial AI development experience, as the developer, product owner, and techical leader of data science department, participate in the prototyping, evaluation, and deployment phase of various data products, including house price and credit loan estimation services, and 360 degree customer knowledge graph data services.
  • 2+ 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 and data engineering community.

SKILLS


  • Programming & Software Development: Design Patterns、ETL、Image Building、Machine Learning、Parallel Acceleration、Python SDK Design、Refactoring 
  • Development Environment: Linux, Docker, GCP, K8S
  • 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 、Pub/Sub、Cloud Function
  • CICD: Github Action、Azure DevOps

PROFESSIONAL EXPERIENCE

AI Engineer - ESUN BANK, Intelligent Finance Technology Department

2020/8-Present

Web Development & API Integration: 
  • Designed and developed backend services using FastAPI, integrating AI models into scalable applications.
  • Developed interactive web interfaces for data visualization and exploration using matplotlib.
Data Engineering: 
  1. Built and managed ETL pipelines with Airflow to support machine learning workflows, reducing data processing latency by 55%.
  2. Integrated relational and graph databases (PostgreSQL, Neo4j) into production systems for real-time analytics.
AI Model Development: 
  • Prototyped and deployed LLM-based tools, including regex-inference and jsonschema-inference to automate schema generation and data validation tasks. 
  • Developed graph-based data products to analyze customer risk and value, connecting 7 entity types with 15 relationship types.
Key Accomplishments:
  • Reduced data pipeline execution times by 15x through optimization and parallelization techniques.
  • Successfully deployed multiple PyPI packages, enhancing team productivity and enabling seamless AI operations.

SELECTED PROJECTS

Web-crawling Data Platform

2024/10-Present

  • Built a cloud-native web-crawling platform using GCP Cloud Functions and Terraform for automated data collection.
  • Increased throughput by 200x through multi-threading and session ID rotation, ensuring reliable data delivery.

Scale-up Data Pipeline for Graph Data as a Service 

2024/1-2024/12

  • Refactored RDB-to-GraphDB pipelines to improve scalability and reduce update latency from 2.7 hours to 1.2 hours using incremental updates.
  • Decomposed ETL workflows into 5 functional layers, enabling efficient testing and validation.  

Prototyping and Product Landing of Graph Data Services

2023/1-2023/12

  • Build a graph data warehouse to support customer list and value exploration, connecting multiple data sources.
  • Develop a Neo4j-based environment to enable advanced pattern matching for risk analysis. 

Next-Generation ETL Framework for Data Science Team

2022/7-2022/12

  • Designed a lightweight ETL Python framework to support seamless deployment of data science workflows into Airflow.
  • Integrated data validation and metadata registration tools, reducing debugging and maintenance costs by 70%.

Enhance and Maintain House Price & Mortgage Loan API

2022/2-2022/7

  • Refactored legacy API code to improve maintainability and scalability using a chain-of-command design pattern.
  • Re-designed deep learning models for house price appraisal, improving interpretability while meeting legal compliance.

EDUCATION 

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

2015/9 ~ 2020/1 

  • Focus: Machine Learning, Multimedia Signal Processing, Data Science
  • Thesis: Tag Propagation and Cost-Sensitive Learning for Music Auto-Tagging

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) 

RESEARCH

Deep Learning for Music Auto-Tagging – National Taiwan University

2015/9-2020/1  

Instructor: Professor Homer H. Chen  

  • Improved a deep music auto-tagging model (SampleCNN) by 25.8% MAP through context-based tag propagation.
  • Published work in IEEE Transactions on Multimedia and EUSIPCO.

PUBLICATIONS

Y.-H. Lin, C.-H. Chung, and H.H. Chen, "Playlist-Based Tag Propagation for Improving Music Auto-Tagging", EUSIPCO, 2018.

Y.-H. Lin and H.H. Chen, "Tag Propagation and Cost-Sensitive Learning for Music Auto-Tagging", IEEE Transactions on Multimedia, 2021.