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4-6 years
6-10 years
10-15 years
More than 15 years
Technical assist manager @MicroIP2022 ~ Present
・
Architect, Principal Software Engineer
Within one month
Employed
・
Ready to interview
Full-time / Interested in working remotely
6-10 years
National Pingtung University
・
Computer scienceEmployed
・
Ready to interview
Full-time / Interested in working remotely
6-10 years
聖約翰科技大學
・
電機工程系
Past
Product Manager @Neousys Technology 宸曜科技2018 ~ 2023
・
後端工程師
Within one month
HUAN-CHIN CHEN Product Manager Taipei, Taiwan Huan-Chin Chen is a product manager at Neousys Technology Inc. She is currently focusing on automation and AI computing domain. Formerly, Huan-Chin held a bachelor’s degree major in Electrical Engineering awarded by National Taiwan University inBesides her major, she has also self-learning much knowledge related to computer science like C++ Language, Data Structure, and Full Stack Development, which have prepared her for technical skills both in hardware and software domains. The time during her college years has led Huan-Chin to creative thinking, problem
Unemployed
・
Ready to interview
Full-time / Interested in working remotely
4-6 years
國立台灣大學（National Taiwan University）
・
Electrical Engineering 電機工程學系
Solidity | Backend | Golang 資深後端軟體工程師 @OO科技2022 ~ Present
・
軟體工程師、後端工程師
Within one month
吳皇耀 Senior Backend Developer Taipei, Taiwan 程式類工作總年資10年以上 C++|PC端|win32 : 5 年以上 Golang|backend|server : 3 年以上 區塊鏈 : 3 年以上 隨著環境變化勇於挑戰, 不安逸於現狀. Programing Go C++ Solidity node.js Database MySQL MongoDB Oracle Framework Gorm/Xorm JUCE QT Remix Truffle Others Git/SVN Docker Redis ETH/TRON/BSC ERC20/ERC721 NFT/OpenSea 工
Employed
・
Open to opportunities
Full-time / Interested in working remotely
10-15 years
新竹私立中華大學
・
資訊工程系Information System SeniorExecutive @BRAND'S SUNTORY LTD. TAIWAN BRANCH (MALAYSIA)2019 ~ 2023
・
Front-End / Back-End / Full Stack Web Developer / Software Engineer
Within one month
Not open to opportunities
Full-time / Remote Only
6-10 years
自學
・
全端網頁開發 / 行動 App 開發 / 獨立遊戲開發
seo @Satta king2017 ~ Present
・
SEO Manager, Content Manager, Digital Marketing Manager
Within six months
matka.in https://satta-king-no.in https://satta-king-org.com https://satta-king-online.in MarchPresent Education AprJan 2020 University or School Field of study AprJan 2020 University or School Field of study Skills Word Java C/C++ Languages English — Intermediate What is Satta Matka? Satta King , also known as Satta Matka , is a popular game among the countrys working class.Lotteriesand the Satta King or Satta Matka game are frequently confused. Satta Matka is a lottery game that has been popular in
Employed
・
Not open to opportunities
Intern / Not interested in working remotely
6-10 years
Tutor @Huaxing High School2020 ~ 2022
・
Within one month
Jacky (Huang, Yu-TingI have been working as a mathematics teacher in Taiwan for four years, teaching in junior and senior high school. During my master's degree, I served as a calculus teaching assistant for three years, and I also have two years of experience teaching at cram schools. (2) Adhering to the original intention of education, I believe in a balanced approach of kindness and discipline to guide students into the realm of learning. I utilize various activities to stimulate student motivation. My teaching style is joyful and engaging, yet rigorous, ensuring that the
Full-time / Interested in working remotely
6-10 years
National Cheng Kung University
・
Applied mathematics
Offline
Offline
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
More than one year
Jeffrey Lin ( 林奕勳 ) ESUN Bank, Intelligent Finance Technology Department, AI Engineer focusing on Enterprise-Level ML Frameworks and Design Patterns [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
Employed
Full-time / Interested in working remotely
4-6 years
National Taiwan University
・
Graduate Institute of Communication Engineering
Software Machine Vision Manager @CYG Semi2021 ~ Present
・
Software Development Manager
More than one year
pitch direction Cooperative develop 3D mesh related functions with academic unit People management : 1 senior Senior Software Engineer • Test Research Inc. OctMar 2019 Inline 3D AOI at SMT (AVL winning from the tier 1 benchmark) 3D reconstruction technology development with DLP(Fringe pattern) Data process algorithm including noise suppression and data rebuild Multi sensors calibration between DLPs and 2D camera GPU-based acceleration for 3D data process Skills Programming C#/WPF/MVVM MFC/C++ Language Mandarin English Education SepJun 2010 Bachelor - NCKU/EE SepJun 2020 Master - NCKU/EE Vision servo control
Employed
Full-time / Interested in working remotely
10-15 years
國立成功大學 National Cheng Kung University
・
視覺伺服控制
工程師 @Ingee2018 ~ Present
・
程式設計師
Within three months
慣思考是如何構建出來的，或使用的技術等等。 skills: python programming 使用過的技術: 影像處理 圖像辨識 陣列運算 網路檔案傳輸 網頁爬蟲 C++ Language 使用過的技術: 影像處理 陣列運算 資料儲存 SQL 語法 Photoshop Microsoft office: PowerPoint Word 在大學的重要經歷 民國102年進入桃園銘傳大學
Employed
・
Not open to opportunities
Full-time / Interested in working remotely
4-6 years
銘傳大學
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More than one year
AI Engineer
玉山銀行智能金融處 (Intelligent Finance Dept., E-SUN Bank )
・
2020 ~ Present
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
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
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:
- 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 registration, and time/memory-profiling tools.
- 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:
- 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.
- 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.
- 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:
- Orchestrate the cross-department coordination of the development process.
- Design a low-code python-SQL interface for the data-analyst of business unit and provide development and CICD guidance.
- Ensure business-logic-extensibility in considerations of future marketing campaign.
- Ensure timely delivery of 7 million customer campaign data under 1day computation criteria.
- Accomplishment:
- Have helped the data-analyst of business unit successfully incorporate new campaign business logic into the production pipeline.
- A comprehensive tutorial to the development interface and CICD toolkits, enabling smooth new feature extension with zero-guidance.
- 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:
- Support training, validation, testing, weight/performance inspection, and check-pointing of models with different architecture.
- Fixed experimentation flow for all models with formatted running script and folder structure, to enhance code readability and reproducibility.
- Support lazy evaluation and visualization of data pre-processing, avoid re-generation of data in experimentation scenario.
- 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
- Wrote research plans about how lyrics may help to improve the user experience of a music recommendation system.
- Research proposals: 1) Interactive, Context-Aware Music Recommendation and 2) A Unified Framework for Processing and Understanding Heterogeneous Data for Intelligent Recommendation.
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
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:
- 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 registration, and time/memory-profiling tools.
- 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:
- 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.
- 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.
- 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:
- Orchestrate the cross-department coordination of the development process.
- Design a low-code python-SQL interface for the data-analyst of business unit and provide development and CICD guidance.
- Ensure business-logic-extensibility in considerations of future marketing campaign.
- Ensure timely delivery of 7 million customer campaign data under 1day computation criteria.
- Accomplishment:
- Have helped the data-analyst of business unit successfully incorporate new campaign business logic into the production pipeline.
- A comprehensive tutorial to the development interface and CICD toolkits, enabling smooth new feature extension with zero-guidance.
- 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:
- Support training, validation, testing, weight/performance inspection, and check-pointing of models with different architecture.
- Fixed experimentation flow for all models with formatted running script and folder structure, to enhance code readability and reproducibility.
- Support lazy evaluation and visualization of data pre-processing, avoid re-generation of data in experimentation scenario.
- 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
- Wrote research plans about how lyrics may help to improve the user experience of a music recommendation system.
- Research proposals: 1) Interactive, Context-Aware Music Recommendation and 2) A Unified Framework for Processing and Understanding Heterogeneous Data for Intelligent Recommendation.
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