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National Taiwan University
Software Engineer @CakeResume2022 ~ Present
・
Software Engineer
Within one month
integrating analytics tools and event tracking systems. Spearheaded the integration of Strapi (a content management system), enhancing the team's ability to quickly produce pages and distribute content . Pioneered the integration of LLM model API services. Research Assistant, Academia Sinica 11//2020 Conducted research in deep learning-based Natural Language Processing (NLP), exploring innovative approaches in machine learning. Experimented with various training methods and models, including multi-task learning and language models such as BERT. Authored a publication titled "Detecting Deceptive Language in Crime Interrogation". Investigated Memory Networks and applied them to
Reputation Credits1
Employed
・
Not open to opportunities
Full-time / Interested in working remotely
10-15 years
National Taiwan University
・
Computer Science and Information Engineering
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 Engineering
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
Within one month
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
NAND Mechanism RD, Machine Learning Engineer @PHISON2015 ~ Present
・
Machine Learning Engineer / Data Science Engineer
More than one year
Full-time / Interested in working remotely
6-10 years
NATIONAL TAIWAN UNIVERSITY
・
Physics Master
Software Engineer @TSMC 台積電2022 ~ Present
・
Data Scientist
Within one month
張詠翔 (Sean Chang) Sr. Data Scientist Sr. Data Scientist at KKLab, KKBOX Group Taipei, Taiwan https://www.seanchang.space 技能 ML Fundamentals tree-based models (bagging, boosting) NLP-related models (LM, NER, SA, ...) Programming Languages Python JavaScript Scala Go Frontend React React Native Backend & Database Express Flask & FastAPI SQLAlchemy MongoDB MySQL DevOps Docker Kubernetes AWS Ansible Helm GitLab CI Distributed Computing Apache Spark ML Frameworks & MLOps Tensorflow Scikit-learn Spark ML mlflow spaCy Data Visualization Plotly D3.js seaborn bokeh Miscellaneous Scrapy & Beautiful Soup 工作經
Employed
・
Not open to opportunities
Full-time / Not interested in working remotely
4-6 years
National Taiwan University
・
EconomicsCTO @KryptoGO Co., Ltd.2021 ~ Present
・
AI Software Engineer,Deep learning Engineer
Within one year
Employed
・
Not open to opportunities
Full-time / Interested in working remotely
6-10 years
National Taiwan University
・
Computer Science and Information Engineering
Past
Data Engineer @BUBBLEYE | We're hiring!2021 ~ 2022
・
Software Enginer
Within one month
+ RabbitMQ / Redis ) Largitdata, Web Scraping Intern Jan 2017 ~ Aug 2017 Write many web scraping scripts for various sorts of websites. Skills Languages - Python , Scala Big Data Framework - Apache Spark, Hadoop/HDFS, GCP BigQuery, GCP Dataflow Cloud Platform - Google Cloud Platform Version Control - Git Interest Basketball 3 yrs on NTUEE girls' basketball team. Captain of the NTUEE girls' basketball team for one year. Psychology Took many courses in psychology department and cognitive neuroscience. Language Interest in learning new languages.(Learned little French and German.) Language Skills Proficiency in English ( TOEFL iBT : 105)
Unemployed
・
Ready to interview
Full-time / Interested in working remotely
4-6 years
National Taiwan University
・
電機工程學系
Senior iOS Developer @LINE Taiwan Limited2020 ~ Present
・
App Team Lead, Senior iOS Developer
More than one year
Qing-Cheng Li qcl, coding & learning. Work Experiences Senior iOS Developer LINE, Taipei, Taiwan. Seppresent Reduce app build time by migrating internal iOS modules to Bazel build. Develop LINE Live Commerce features by collaborating with developers across countries. Reduce binary size of LINE iOS. iOS Developer Booking.com, Amsterdam, Netherlands. JanJun 2020 Develop and experiment (A/B testing) new features on customers facing app (Booking.com App) and partners facing app (Pulse) rapidly and iteratively. Collaborate with backend developers to build a system to track and attribute installations and reservations
Employed
Full-time / Interested in working remotely
4-6 years
National Taiwan University
・
Computer ScienceTeam Leader @Sinotech Construction Corporation, LTD.2005 ~ Present
・
More than one year
Full-time / Interested in working remotely
6-10 years
National Taiwan University
・
Marine Geology and Geophysics
Project Manager / Audit Manager @RSM Taiwan2016 ~ Present
・
財務主管/會計主管
More than one year
Aaron Yu 游冠倫 Project Manager/ Audit Manager Taipei City, Taiwan Yoga and Anthropology have planted spiritual seeds full of macro visions and humanistic feelings for me. Accounting cultivates my spirit and values of seeking truth from facts and presenting faithfully based on principles. In accounting, auditing, fraud examination, management, and all other affairs that are equally important in life, I keep learning to play the role of every moment properly and experiencing the teachings given by the Universe and Life . [email protected] [email protected] Work
Employed
Full-time / Interested in working remotely
10-15 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.
Within one month
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