- Jobs
ResumeCreate your job-winning resume using our free resume builder.
PortfolioShowcase your skills and projects with a professional portfolio.ResumeCreate your job-winning resume using our free resume builder.Resume BuilderMake a resume for free.Resume TemplatesAccess our extensive library of professional & ready-to-use templates.Resume ExamplesGet inspired by real resume examples to create your own.Occupation GuideAccess resume writing guides tailored for different professions.Resume HelpGet expert advice on all things resume from our team of recruitment specialists.- ResourcesSuccess StoriesBusiness ExcellenceAbout CakeResumeFeatured Reads
- Hire
- Download our App
CakeResume Talent Search
Advanced filters
On
4-6 years
6-10 years
10-15 years
More than 15 years
National Taiwan University
QC Associate Manager @Merck Group 台灣默克集團2024 ~ Present
・
Manager
Within one month
Employed
・
Open to opportunities
Full-time / Interested in working remotely
4-6 years
National Taiwan University
・
Master of Biomedical Engineering
Consultant @TATA Consultancy Service (TCS)2023 ~ Present
・
Senior Software Engineer
Within one month
4G/5G Core System. Software design from backend Python system, to frontend web browser thin client. I built from scratch the UPF data plane with P4 SmartNIC hardware acceleration. The data transmission was a 67% increase and optimized from 6 Gbps to 10 Gbps. The optimization scheme also obtained patents in Taiwan, US, and Europe. Project Manager • SYSPLUS Corp. 精創科技 DecDecChailease Car Loan Collection System / 中租迪和車貸催收系統 B&Q e-Commerce Web / 電子商務網站 Chailease is
Employed
Full-time / Interested in working remotely
More than 15 years
National Taiwan University
・
Atmospheric Sciences
Software Engineer @CakeResume2022 ~ Present
・
Software Engineer
Within one month
Po-Han Chen (陳柏翰) Software Engineer at CakeResume [email protected] Experience Software Engineer, CakeResume 1/Present Migrated a legacy React project to Next.js, incorporating Redux, Redux Saga, and modern CSS. Developed critical pages including the user dashboard, company page and payment pages. Implemented new features such as contact import from other services and cross-device auto-logout mechanism. Enhanced website performance through server-side rendering, caching services, and continuous optimization using tools like PageSpeed Insights. Resolved challenging errors, such as an issue with Algolia during the server-side
Reputation Credits1
Employed
・
Not open to opportunities
Full-time / Interested in working remotely
10-15 years
National Taiwan University
・
Computer Science and Information Engineering
Founder & CEO @CakeResume2016 ~ Present
・
Full Stack Web Developer
Within one month
Trantor Liu Founder & CEO @CakeResume Taipei, Taiwan On top of being an expert in product design, full-stack web development, and user experience (UX) design, I'm also proficient in search engine optimization (SEO) strategy planning, user interface (UI) design, etc. Open source contributions — https://github.com/trantorliu UI design portfolio — https://dribbble.com/trantorliu UX design and product promotion articles — https://medium.com/@TrantorLiu http://trantorliu.com/ Skills Programming Node.js React Ruby on Rails Design Tools Sketch Figma
Reputation Credits1
Employed
・
Not open to opportunities
Full-time / Not interested in working remotely
6-10 years
National Taiwan University
・
Computer Science & Information 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
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
Employed
Full-time / Interested in working remotely
4-6 years
National Taiwan University
・
Graduate Institute of Communication EngineeringStaff Front-End Developer @Ingenta Inc.2021 ~ Present
・
Senior software engineer
Within one month
Employed
・
Not open to opportunities
Full-time / Interested in working remotely
6-10 years
National Taiwan University
・
Electrical EngineeringFull-time / Interested in working remotely
6-10 years
National Taiwan University
・
Information System Training Program Program: HTML5, CSS3, jQuery, Bootstrap
Sr. Business Analyst @EZTABLE2018 ~ Present
・
Business Intelligence, Data Analyst, Strategy Planning
More than one year
to provide meaningful insights for user acquisition. • Constructed 20+ dynamic visualized dashboards and delivered 100+ insight analysis to improve 50% decision-making efficiency, increase 17% new users and resurrect 10% churned users. • Collaborated and managed relationships with cross-functional stakeholders, team leads to drive insights into optimization of product capabilities and provide continual improvement in analysis, business process and data quality. •hours in Google Analytics, Google Ads, SQL, and Data visualization via Google Data Studio and led the 100+ A/B test initiatives, achieving a 15% conversion rate uplift. • User experience analysis
Employed
Full-time / Interested in working remotely
4-6 years
National Taiwan University
・
MBA
Web Developer @PicCollage2019 ~ Present
・
Front End Developer
Within one month
in JS (Emotion) Test: Unit test based on Jest and react-testing-library Linter and formatter: ESLint, Prettier Build tools: Webpack Gulp CI/CD: Automate test, build and deploy process for staging and production environments based on CircleCI Track: Google tag manager, google analysis, facebook pixel Learning: PWA, Performance optimization, end-to-end test(cypress), serverless(firebase functions) Mentorship : code review, onboarding process, workflow guide Milestones PicCollage official website Built by Gatsby PWA ready Githook for ESLint and Prettier CI/CD ready honestbee website Custom redux middleware for async actions Integration with 3rd party payment service Food takeaway
Employed
Full-time / Interested in working remotely
4-6 years
National Taiwan University
・
Material Science
Optimization Algorithm Engineer @Taiwan Semiconductor Manufacturing 台灣積體電路製造股份有限公司2020 ~ Present
・
Algorithm Designer
Within one year
Programming Language Familiar with Object Oriented Programming(C++, Java, C#) and other high-level programming language including R, Python and Excel VBA. Operation Research An optimal analyst possesses 3-year experience deal with optimization problem. Work on and Explore occupations related to algorithms, combinatorics and optimization. Machine Learning Apply reinforcement learning framework to optimization problem with high complexity, huge size and complicated constraints. Focus on MCTS, optimization theory, reinforcement learning and statistical techniques. Optimization Programming • Build a tree-based reinforcement learning optimization algorithm applying ensemble dispatching rules and Monte Carlo Tree Search
Employed
Full-time / Interested in working remotely
4-6 years
National Taiwan University
・
Industrial EngineeringThe Most Lightweight and Effective Recruiting Plan
Search resumes and take the initiative to contact job applicants for higher recruiting efficiency. The Choice of Hundreds of Companies.
- Browse all search results
- Unlimited access to start new conversations
- Resumes accessible for only paid companies
- View users’ email address & phone numbers
Search Tips
1
Search a precise keyword combination
senior backend php
2
Use quotes to search for an exact phrase
"business development"
3
Use the minus sign to eliminate results containing certain words
UI designer -UX
Only public resumes are available with the free plan.
Upgrade to an advanced plan to view all search results including tens of thousands of resumes exclusive on CakeResume.
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