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- currículos accesibles sólo para empresas de pago
- Ver dirección de correo electrónico y números de teléfono de los usuarios
Definition of Reputation Credits
Hsiang-Chun Lee
(Jason Lee)
Software engineer in Test / SQA /SDET
0988-032-905
Taipei City, New Taipei City
Work experience 5~ years
Expectation: 1.6 million~
2.5 million / annual salary
Hello, I bring a wealth of professional experience to the table, encompassing a broad spectrum of expertise in full-stack development, artificial intelligence, and various testing methodologies. My journey has seen me embrace roles such as a Senior Engineer in cloud software and firmware testing at Zyxel. I've also contributed as a Python RPA automation program development engineer at a renowned financial company in Neihuke, further diversifying my skill set.
I am thriving as a Software Engineer at Google, where I continue to expand my knowledge and expertise. Currently working as a senior software automation test development engineer at TREVI, my tenure as a Scrum Master has endowed me with a profound understanding of agile methodologies and team dynamics, further enriching my leadership skills and technical acumen.
My foray into the realm of gaming, particularly in the betting games sector, has provided me with unique insights into user experience and the critical role of robust testing frameworks. My passion for learning and adaptability shines through my ability to quickly assimilate new technologies and work environments, positioning me as a versatile and dynamic candidate for future opportunities in software testing and beyond.
Interests :
Passionate about leveraging diverse mobile devices for gaming to assess their performance, with a strong inclination towards testing and optimizing software and hardware to push the boundaries of user experience.
Deeply fascinated by the intersection of automation technologies with software and hardware testing, constantly exploring cutting-edge tools and methodologies to streamline testing processes and improve product quality.
Intrigued by the application of automation in financial markets, cryptocurrencies, and macroeconomic analysis, actively researching and experimenting with automated systems to understand and predict market trends and economic indicators.
Skill
Programming
Frontend
- HTML / CSS
Backend
- Python
- JAVA
- Golang
Kits and Frames
Frontend
- RWD
Backend
- TensorFlow
- Scikit-Learn
Database
- MS-SQL
- MySQL
- Oracle-SQL
Automated test
- selenium
- Postman
- Appium
- Jmeter
- Pytest
- ACTS
Manual testing
- Web
- App(Android/IOS)
- Device(Firewall/WIFI-AP)
- Write test cases/plan
Version & Cloud (CI/CD)
- Git
- Github
- Azure Cloud
- AWS
- GCP
- Jenkins
- GitLab
Development tools
- Visual Studio
- VS code
- pycharm
- Colab
- Kali Linux
- VMware ESXi
- photoshop
- Redmine
- JIRA
- TestRail
Work experience
Software Engineer in Test (SDET) at TREVI
TREVI Technology Co., • working
Responsibilities:
- Served as the Scrum Master for the SQA department, leading the team in adopting Agile methodologies to enhance project transparency and collaboration efficiency.
- Expanded role to encompass comprehensive testing across web games, platform client applications, front-end, back-end, mobile apps, and game protocols, in addition to functionality, compatibility, and performance testing.
- Implemented image comparison testing techniques, utilizing tools like OpenCV for automated game visuals testing, significantly improving test accuracy and efficiency.
- Established and planned an automation testing center using Jenkins to facilitate CI/CD processes, accelerating software delivery and quality.
- Conducted automated mobile application testing with Appium, ensuring app compatibility and performance across various platforms.
- Responsible for setting up and managing testing environments, including stress and stability tests, employing Python's multiprocessing techniques to simulate high concurrency scenarios.
- Designed and maintained technical documentation, including test plans, cases, and reports, fostering knowledge sharing and continuous learning within the team.
- Utilized Python and Oracle SQL for database operations, including data insertion and retrieval, to support test data preparation and validation.
- Engaged in product requirement gathering and discussions, planning and executing test plans based on a thorough understanding of business logic to ensure product quality meets expectations.
- Continuously optimized testing processes and methodologies, promoting the application of automation testing across various company projects, thereby enhancing testing efficiency and effectiveness.
Skills:
Programming Languages: Proficient in Python, with a strong focus on developing and executing automated tests and scripts.
Automated Frontend Testing: Expertise in using Selenium, OpenCV, and PyTest for comprehensive frontend testing of games across web, app, and tablet platforms, incorporating AI-based image comparison techniques to enhance test accuracy and efficiency.
Performance Testing: Skilled in utilizing Python with Locust and JMeter for conducting detailed performance, stress, and load testing, ensuring applications withstand high traffic and usage scenarios.
API Testing: Experienced in API protocol interface testing using Python's requests and sessions modules to simulate client-server interactions and validate game business logic, with a strong understanding of RESTful principles.
AI in Testing: Advanced application of AI-based image comparison in testing, including the use of Appium's AI-driven image recognition features for more effective and efficient automated mobile testing.
Game Protocol Testing: Proficient in testing game protocols to ensure seamless gameplay and communication between client and server, with a keen focus on maintaining game integrity and user experience.
Database Operations: Competent in database operations, including querying, inserting, and retrieving data using SQL, with hands-on experience in managing databases such as Oracle, to support testing environments and data validation.
Continuous Integration/Continuous Deployment (CI/CD): Extensive experience in implementing CI/CD pipelines using Jenkins, facilitating automated builds, tests, and deployments to streamline development workflows and enhance productivity.
API Interface Testing: Proficient in using Postman for API interface testing, designing and executing test suites to validate API endpoints, request formats, and response data, ensuring compatibility and reliability of service integrations.
Software Engineer at Google
·GOOGLE INTERNATIONAL LLC TAIWAN BRANCH (U.S.A.)
05-2022 ~ 05-2023
*Designated by Google Taiwan Branch as a Vendor.
-Annual salary 1.5 million
Professional Experience:
Vendor (Project Engineer) - Software Engineer (Python) at Google Taiwan Branch
Worked in a fast-paced Linux environment, handling Python programming and testing for in-house infrastructure tools specific to the gChips silicon division, with a strong track record of on-time delivery.
Collaborated closely with chip design and verification leaders to develop infrastructure solutions and assist in establishing test environments, ensuring all infrastructure support met Google's industry standards.
Designed and implemented automation programs to enhance the quality of software releases. Developed dashboards, used Linux shell scripts to create .sh files, and automated Python programs.
Optimized the security of Google's Python infrastructure, overseeing automated test planning, report writing, bug analysis, and issue tracking.
Actively participated in multiple projects, providing innovative solutions for the company's R&D work, and demonstrated exceptional technical contributions.
Possess extensive practical experience in Python development and a proficient command of various technical tools.
Technology Used:
Python: Utilized argparse, pathlib, and other libraries to read specified path files, parse the data, and generate JSON files. Employed re, gzip, csv, and other libraries for data processing, and improved performance with concurrent.futures and ThreadPoolExecutor for multi-threading.
Successfully optimized a large amount of PDF data processing with multi-threading technology, reducing program execution time from 40-60 minutes to just 20 minutes, significantly enhancing efficiency. Performed program performance testing using cProfile.
Environment and Tools Used:
Google's proprietary Linux, Git
Cloud: GCD/GCP
Testing:
Manual testing: Performed synchronous web/api/app testing, including black box testing, regression testing, compatibility testing, functional testing, system testing, UAT, and exploratory testing on new models.
Phone Model: Pixel 7/8
Automated testing and development: Leveraged Linux shell scripts for automating vast data processes in Python programs. Utilized Selenium for simple web automation testing on existing dashboard pages, and pytest for manual test case development.
Stress Testing: Performed basic stress testing using JMeter and occasionally employed Python Locust for case-specific stress testing.
API Testing: Used Postman for testing api's add, delete, modify, and retrieve data functions.
App Testing: Conducted compatibility and automated app testing for Pixel 7-8 models using Appium, followed by automated test development and testing as per the test case.
-Reason for Leaving: I was part of a layoff due to company downsizing.
ICC_Cloud software and firmware test development (senior) engineer at ZYXEL
·Zyxel Communications Corp
07-2021 - 05-2022(resignation due to moving)
-Average annual salary 900,000
1. Responsible for developing and writing test plans and test cases according to design specifications, performing software testing, completing software test reports, problem tracking management and verification, and providing improvement suggestions.
2. Responsible for website system function, performance and security testing, and use a variety of testing tools and frameworks for testing.
3. Use Python/Selenium/TCL(TK) programs to develop automated tests, and be responsible for maintaining and executing automated tests.
4. Responsible for writing test plans, writing test items according to product specification documents, and building test environments for testing.
5. Under the requirements of different project tasks, study project specifications, draw up test plans, and build a test environment for testing.
6. Carry out functional testing, performance testing, license testing, GUI testing, App testing, etc., and produce test reports based on test results to provide professional analysis.
7. Responsible for information security testing of the company's products, simulating hackers
Technology used:
1. Manual testing: Do firewall-related testing according to the written test case and SOP steps on the test plan, and then write Python/Selenium to do web GUI operations for each test item to simulate manual automatic testing.
2. Automatic testing: According to the SOP steps on the written test case and test plan, use the TCL (TK) program to write the automated program for the test items that do not have very complicated procedures, and then use the ACTS tool to run the automated test.
3. Tested products: the company's Netcom product firewall and others.
4. APP test: Use IOS mobile phone and Android mobile phone to test according to the written test case
Test environment: Linux, windows
Tools used in the test: Netcom products, IOS mobile phones, Android mobile phones
Cloud environment: AWS
Virtualization platform: VMware
Bug tracking management system: Redmine
Working mode: scrum
Automation tools: ACTS, VMware ESXi
-Reason for leaving: moving/purchasing property ( From Hsinchu to Taipei )
Python（RPA）Engineer at DBS
• Singapore Mall Exhibition Bank Co., Ltd. - Inner Lake Consumption Finance Headquarters CBOM
11- 2020 - 04-2021(Resigned because of military service)
-Average annual salary 720,000
1. Responsible for planning, designing, executing and operating manual/automated testing to verify delivery quality.
2. Create and build the required testing infrastructure, automated testing and RPA automation tools, and be good at using the Selenium suite in Python for web crawling and reading Excel/Word/PDF data.
3. Use the RPA automation program for one-stop development, including automation work and automation testing, and finally return the results of the program execution in the form of a file.
4. Have rich professional knowledge and skills in RPA automation, and be good at using a variety of automation tools and programming languages.
5. Have rich experience and ability in software testing, have used a variety of testing tools and frameworks, and participated in many software testing projects.
6. Have certain experience and ability in big data analysis, have used a variety of big data analysis tools, and participated in many big data analysis projects.
Technology used:
python/Java/HTML/JS: During the whole process of development, the RPA process automation of DBS Bank's business system (web) is done through the selenium suite, from starting the web, login with account password, drop-down menu, input and submission of amount, etc. Then do 3 more tests to ensure that there is no error when running the program again. This must be done to all the transactions of the customer, and the amount is quite a lot. If there is an error, the error message that appears on the page will be recorded through selenium and done. In the event of an error, it is finally packaged into an exe file, and the batch of business can be completed only by providing input data, sharing 50% of the workload for the business staff.
The Python library used, selenium, json, time, re, csv, os, excel, pdf, word, pandas, etc.
environment: windows
Database:MySQL
Automation: selenium
-The reason for leaving is to serve in the military for 4 months and to contribute to the service of the country.
Because I have to serve in the military, I returned the rented apartment in Taipei and moved back to my hometown in Hsinchu
Software Engineer Intern • Taiwan Microsoft Corporation
10-2019 - 05-2020
-TWD 300 per hour
During this internship, I was primarily responsible for developing big data automation software. I utilized Python as the main programming language and collaborated with the Microsoft Azure cloud platform for data management and processing.
My responsibilities included:
Developing big data automation software using Python to enhance the efficiency of data processing and analysis.
Utilizing Microsoft Azure cloud platform for data management and processing, ensuring the security and integrity of the data.
Employing pytest for software testing to ensure the functionality and performance of the developed software met the expected standards.
Handling software maintenance and updates, and resolving issues encountered by users during its use.
This internship provided me with valuable hands-on experience, deepening my understanding of Python programming and software development. I look forward to applying the skills and knowledge I gained during this period in my future endeavors.
Reason for leaving: My contract ended. With my Master's thesis defense approaching, I decided to conclude my internship duties ahead of schedule.
FinTech Intern - AI Big Data Group • Fubon Financial Holdings Co., Ltd.-Fubon Innovation and Technology Office
09-2018 - 10-2019
-Daily salary 2880 Taiwan dollars
1. Developed specific application projects using Python, including face recognition access control system and stock market analysis and forecasting, etc., and used models such as LSTM for data analysis and forecasting.
2. Have rich professional knowledge and skills in AI and big data, have used a variety of AI and big data analysis tools, and participated in multiple AI and big data analysis projects.
3. Based on market research, data collection and analysis, wrote reports such as industry research and market situation analysis, watched future trends, provided strategies and assisted in project implementation.
4. In the process of integrating the resources provided by each subsidiary of Fubon Financial Holdings and learning from the internship, communicate and cooperate effectively with team members and other departments to jointly promote the progress of the project.
Project 1: Face recognition applied to the company's access control punch card system (the system will be hired by the company)
Technology used:
Programming language: Python
API:
OpenCV: It supports operations such as face detection, face recognition, face tracking, and face comparison.
Dlib: It provides a highly optimized face detection algorithm that supports operations such as key point detection and face alignment.
Face Recognition: Face Detection and Recognition Using Deep Neural Networks. It supports a variety of face recognition algorithms, including algorithms such as FaceNet and OpenFace based on deep learning.
MTCNN: Supports multiple tasks such as face detection, face alignment, and face key point detection at the same time.
TensorFlow: Provides a high-level API that allows users to easily build and train face recognition models.
These kits and frameworks can be used to detect and recognize faces from images or videos, and can perform operations such as face alignment, key point detection, and face comparison, making them suitable for face recognition, security monitoring, and other fields.
Project 2: Application of Artificial Intelligence in Stock Price Prediction (Master's Thesis & AI Hackathon) can refer to the attachment
Technology used:
Programming language: Python
API:
Prophet: A time series prediction library developed by Facebook for predicting stock prices, sales, website traffic, etc. It is based on an additive model, includes factors such as trend, seasonality, and holidays, and can handle missing data and outliers.
TensorFlow: It provides a variety of deep learning models, such as RNN, LSTM, GRU, etc., which can be used for time series prediction problems such as stock price prediction.
Scikit-learn: It supports a variety of machine learning algorithms, such as linear regression, decision tree, random forest, etc., which can be used for stock price prediction.
Keras: It provides a variety of neural network layers and loss functions, which can be used for problems such as stock price prediction.
These suites and frameworks can be used to process time series data and predict financial market data such as stock prices, including seasonal trends, holidays and other factors, and can perform model training, verification and forecasting operations, making them applicable to stock market analysis, investment Portfolio Management etc.
- Leaving employment after the end of the internship program and leaving in response to the end of the internship program.
Education
2020/08 - 2020/11
TibaMe-Wisdom AI Technology Application Engineer Training Course (Youth Phase 1)
AI technology application engineer
Training course:
1.Python windows program, crawler, data cleaning, data organization, data visualization, MySQL, LINE BOT, AWS, GCP, Azure, machine learning, deep learning
2.Participate in topics: 1. Petty Bourgeoisie - AI Financial Robot 2. Smart Clothing Recommendation System
3.Kaggle competition: https://reurl.cc/m9jpEG
4.AI Hackathon Competition Video: https://reurl.cc/A8e9Qd --> Team Name: Petty Bourgeoisie LineChatbot
5.AI Hackathon Competition Video: https://reurl.cc/bRjdLd --> Team Name: Your Wisdom Recommendation Wall
works
2020/05 - 2020/09
Build School Software Engineer Training Institution
Software Engineer
Training course :
C#、HTML、CSS、RWD、BootStrap、SASS、 JavaScript 、jQuery、AJAX、SQL Server、ASP.NET MVC、Github、Git、Azure deployment
Github: https://github.com/crazy85128x/jasonhw
works
2018/09 - 2020/07
National Taipei University of Technology, Taipei Tech (Master)
Institute of Civil Engineering and Disaster Prevention Management (Graduate)
Additional Elective Computer Management Engineering Graduate
Courses 4.0 GPA
Graduation thesis:
1. Random forest decision tree applied to stock price prediction - taking building materials construction stocks as an example
Seminar paper:
1. Research on AI face recognition in smart residential security
2. Artificial intelligence in financial market behavior prediction-taking the analysis of the market trend as an example
3. Discussion on the development and strategy of artificial intelligence model for automation of construction engineering
2014/09 - 2018/06
Chien Hsin University of Science and Technology (Bachelor)
Department of Applied Spatial Information (Graduate)
Courses 4.0 GPA
Feature: Using Google Trends to Build Investor Focus-Based Portfolio Strategies
Hi, I'm Jason， Hsiang-Chun, currently working as a contract HW Software Engineer at Google gchips department through Wipro Taiwan. I collaborate closely with the core team in the United States to develop software programs and perform manual and automated testing. Previously, I worked as a Python RPA Engineer at the Consumer Finance Head Office of DBS Bank in Singapore, and as a Cloud Hardware and Software Test Senior Engineer at Chicony Electronics (Quanta Group) and ICC Cloud Computing Center.
I have a Master's degree in IT from the National Taipei University of Technology and a passion for technology innovation, particularly in the fields of AI and cybersecurity. I am practice in front-end and back-end technologies, and have hands-on experience in various areas, such as Python-based image recognition with OpenCV, automation testing with Selenium, and machine learning with scikit-learn.
I possess strong communication skills and enjoy collaborating with people from different backgrounds. I have experience in managing projects, analyzing data, and problem-solving, gained from my academic studies and work experience. I also value continuous learning and development and have enrolled in various courses, including cloud computing, programming, and web penetration testing, to stay up-to-date with the latest trends and technologies.
In my spare time, I like to participate in hackathons, online competitions, and meetups to exchange ideas and network with other tech enthusiasts. I believe in teamwork, diversity, and inclusion, and strive to create a positive impact in the tech industry.
I'm very upbeat, funny and experienced software engineer, specializing in cloud-based firmware testing and Python RPA automation.
As a senior engineer at Zyxel Technology, developed and implemented an effective cloud-based firmware testing strategy that saved the company over 30% of resources.
As a Python RPA automation engineer at DBS Bank in Singapore, he made a significant contribution by developing and implementing an automated workflow that saved the company more than 40% of its resources.
Currently working as a software engineer at Wipro, making significant contributions to Google's software development initiatives.
Learn programming languages such as Python, Java, and C#. At work, Python is the most commonly used for software development and various software tools and technologies such as selenium.
Good communicator with excellent teamwork skills and has worked with cross-functional teams and departments to develop innovative software solutions.
Passionate about software development and always eager to learn and adopt new technologies.
Looking for new job opportunities to continue to develop my skills and contribute to innovative software projects.
Thank you for your consideration, and I look forward to the opportunity to contribute to your team.
Hsiang-Chun Lee
(Jason Lee)
Software engineer in Test / SQA /SDET
0988-032-905
Taipei City, New Taipei City
Work experience 5~ years
Expectation: 1.6 million~
2.5 million / annual salary
Hello, I bring a wealth of professional experience to the table, encompassing a broad spectrum of expertise in full-stack development, artificial intelligence, and various testing methodologies. My journey has seen me embrace roles such as a Senior Engineer in cloud software and firmware testing at Zyxel. I've also contributed as a Python RPA automation program development engineer at a renowned financial company in Neihuke, further diversifying my skill set.
I am thriving as a Software Engineer at Google, where I continue to expand my knowledge and expertise. Currently working as a senior software automation test development engineer at TREVI, my tenure as a Scrum Master has endowed me with a profound understanding of agile methodologies and team dynamics, further enriching my leadership skills and technical acumen.
My foray into the realm of gaming, particularly in the betting games sector, has provided me with unique insights into user experience and the critical role of robust testing frameworks. My passion for learning and adaptability shines through my ability to quickly assimilate new technologies and work environments, positioning me as a versatile and dynamic candidate for future opportunities in software testing and beyond.
Interests :
Passionate about leveraging diverse mobile devices for gaming to assess their performance, with a strong inclination towards testing and optimizing software and hardware to push the boundaries of user experience.
Deeply fascinated by the intersection of automation technologies with software and hardware testing, constantly exploring cutting-edge tools and methodologies to streamline testing processes and improve product quality.
Intrigued by the application of automation in financial markets, cryptocurrencies, and macroeconomic analysis, actively researching and experimenting with automated systems to understand and predict market trends and economic indicators.
Skill
Programming
Frontend
- HTML / CSS
Backend
- Python
- JAVA
- Golang
Kits and Frames
Frontend
- RWD
Backend
- TensorFlow
- Scikit-Learn
Database
- MS-SQL
- MySQL
- Oracle-SQL
Automated test
- selenium
- Postman
- Appium
- Jmeter
- Pytest
- ACTS
Manual testing
- Web
- App(Android/IOS)
- Device(Firewall/WIFI-AP)
- Write test cases/plan
Version & Cloud (CI/CD)
- Git
- Github
- Azure Cloud
- AWS
- GCP
- Jenkins
- GitLab
Development tools
- Visual Studio
- VS code
- pycharm
- Colab
- Kali Linux
- VMware ESXi
- photoshop
- Redmine
- JIRA
- TestRail
Work experience
Software Engineer in Test (SDET) at TREVI
TREVI Technology Co., • working
Responsibilities:
- Served as the Scrum Master for the SQA department, leading the team in adopting Agile methodologies to enhance project transparency and collaboration efficiency.
- Expanded role to encompass comprehensive testing across web games, platform client applications, front-end, back-end, mobile apps, and game protocols, in addition to functionality, compatibility, and performance testing.
- Implemented image comparison testing techniques, utilizing tools like OpenCV for automated game visuals testing, significantly improving test accuracy and efficiency.
- Established and planned an automation testing center using Jenkins to facilitate CI/CD processes, accelerating software delivery and quality.
- Conducted automated mobile application testing with Appium, ensuring app compatibility and performance across various platforms.
- Responsible for setting up and managing testing environments, including stress and stability tests, employing Python's multiprocessing techniques to simulate high concurrency scenarios.
- Designed and maintained technical documentation, including test plans, cases, and reports, fostering knowledge sharing and continuous learning within the team.
- Utilized Python and Oracle SQL for database operations, including data insertion and retrieval, to support test data preparation and validation.
- Engaged in product requirement gathering and discussions, planning and executing test plans based on a thorough understanding of business logic to ensure product quality meets expectations.
- Continuously optimized testing processes and methodologies, promoting the application of automation testing across various company projects, thereby enhancing testing efficiency and effectiveness.
Skills:
Programming Languages: Proficient in Python, with a strong focus on developing and executing automated tests and scripts.
Automated Frontend Testing: Expertise in using Selenium, OpenCV, and PyTest for comprehensive frontend testing of games across web, app, and tablet platforms, incorporating AI-based image comparison techniques to enhance test accuracy and efficiency.
Performance Testing: Skilled in utilizing Python with Locust and JMeter for conducting detailed performance, stress, and load testing, ensuring applications withstand high traffic and usage scenarios.
API Testing: Experienced in API protocol interface testing using Python's requests and sessions modules to simulate client-server interactions and validate game business logic, with a strong understanding of RESTful principles.
AI in Testing: Advanced application of AI-based image comparison in testing, including the use of Appium's AI-driven image recognition features for more effective and efficient automated mobile testing.
Game Protocol Testing: Proficient in testing game protocols to ensure seamless gameplay and communication between client and server, with a keen focus on maintaining game integrity and user experience.
Database Operations: Competent in database operations, including querying, inserting, and retrieving data using SQL, with hands-on experience in managing databases such as Oracle, to support testing environments and data validation.
Continuous Integration/Continuous Deployment (CI/CD): Extensive experience in implementing CI/CD pipelines using Jenkins, facilitating automated builds, tests, and deployments to streamline development workflows and enhance productivity.
API Interface Testing: Proficient in using Postman for API interface testing, designing and executing test suites to validate API endpoints, request formats, and response data, ensuring compatibility and reliability of service integrations.
Software Engineer at Google
·GOOGLE INTERNATIONAL LLC TAIWAN BRANCH (U.S.A.)
05-2022 ~ 05-2023
*Designated by Google Taiwan Branch as a Vendor.
-Annual salary 1.5 million
Professional Experience:
Vendor (Project Engineer) - Software Engineer (Python) at Google Taiwan Branch
Worked in a fast-paced Linux environment, handling Python programming and testing for in-house infrastructure tools specific to the gChips silicon division, with a strong track record of on-time delivery.
Collaborated closely with chip design and verification leaders to develop infrastructure solutions and assist in establishing test environments, ensuring all infrastructure support met Google's industry standards.
Designed and implemented automation programs to enhance the quality of software releases. Developed dashboards, used Linux shell scripts to create .sh files, and automated Python programs.
Optimized the security of Google's Python infrastructure, overseeing automated test planning, report writing, bug analysis, and issue tracking.
Actively participated in multiple projects, providing innovative solutions for the company's R&D work, and demonstrated exceptional technical contributions.
Possess extensive practical experience in Python development and a proficient command of various technical tools.
Technology Used:
Python: Utilized argparse, pathlib, and other libraries to read specified path files, parse the data, and generate JSON files. Employed re, gzip, csv, and other libraries for data processing, and improved performance with concurrent.futures and ThreadPoolExecutor for multi-threading.
Successfully optimized a large amount of PDF data processing with multi-threading technology, reducing program execution time from 40-60 minutes to just 20 minutes, significantly enhancing efficiency. Performed program performance testing using cProfile.
Environment and Tools Used:
Google's proprietary Linux, Git
Cloud: GCD/GCP
Testing:
Manual testing: Performed synchronous web/api/app testing, including black box testing, regression testing, compatibility testing, functional testing, system testing, UAT, and exploratory testing on new models.
Phone Model: Pixel 7/8
Automated testing and development: Leveraged Linux shell scripts for automating vast data processes in Python programs. Utilized Selenium for simple web automation testing on existing dashboard pages, and pytest for manual test case development.
Stress Testing: Performed basic stress testing using JMeter and occasionally employed Python Locust for case-specific stress testing.
API Testing: Used Postman for testing api's add, delete, modify, and retrieve data functions.
App Testing: Conducted compatibility and automated app testing for Pixel 7-8 models using Appium, followed by automated test development and testing as per the test case.
-Reason for Leaving: I was part of a layoff due to company downsizing.
ICC_Cloud software and firmware test development (senior) engineer at ZYXEL
·Zyxel Communications Corp
07-2021 - 05-2022(resignation due to moving)
-Average annual salary 900,000
1. Responsible for developing and writing test plans and test cases according to design specifications, performing software testing, completing software test reports, problem tracking management and verification, and providing improvement suggestions.
2. Responsible for website system function, performance and security testing, and use a variety of testing tools and frameworks for testing.
3. Use Python/Selenium/TCL(TK) programs to develop automated tests, and be responsible for maintaining and executing automated tests.
4. Responsible for writing test plans, writing test items according to product specification documents, and building test environments for testing.
5. Under the requirements of different project tasks, study project specifications, draw up test plans, and build a test environment for testing.
6. Carry out functional testing, performance testing, license testing, GUI testing, App testing, etc., and produce test reports based on test results to provide professional analysis.
7. Responsible for information security testing of the company's products, simulating hackers
Technology used:
1. Manual testing: Do firewall-related testing according to the written test case and SOP steps on the test plan, and then write Python/Selenium to do web GUI operations for each test item to simulate manual automatic testing.
2. Automatic testing: According to the SOP steps on the written test case and test plan, use the TCL (TK) program to write the automated program for the test items that do not have very complicated procedures, and then use the ACTS tool to run the automated test.
3. Tested products: the company's Netcom product firewall and others.
4. APP test: Use IOS mobile phone and Android mobile phone to test according to the written test case
Test environment: Linux, windows
Tools used in the test: Netcom products, IOS mobile phones, Android mobile phones
Cloud environment: AWS
Virtualization platform: VMware
Bug tracking management system: Redmine
Working mode: scrum
Automation tools: ACTS, VMware ESXi
-Reason for leaving: moving/purchasing property ( From Hsinchu to Taipei )
Python（RPA）Engineer at DBS
• Singapore Mall Exhibition Bank Co., Ltd. - Inner Lake Consumption Finance Headquarters CBOM
11- 2020 - 04-2021(Resigned because of military service)
-Average annual salary 720,000
1. Responsible for planning, designing, executing and operating manual/automated testing to verify delivery quality.
2. Create and build the required testing infrastructure, automated testing and RPA automation tools, and be good at using the Selenium suite in Python for web crawling and reading Excel/Word/PDF data.
3. Use the RPA automation program for one-stop development, including automation work and automation testing, and finally return the results of the program execution in the form of a file.
4. Have rich professional knowledge and skills in RPA automation, and be good at using a variety of automation tools and programming languages.
5. Have rich experience and ability in software testing, have used a variety of testing tools and frameworks, and participated in many software testing projects.
6. Have certain experience and ability in big data analysis, have used a variety of big data analysis tools, and participated in many big data analysis projects.
Technology used:
python/Java/HTML/JS: During the whole process of development, the RPA process automation of DBS Bank's business system (web) is done through the selenium suite, from starting the web, login with account password, drop-down menu, input and submission of amount, etc. Then do 3 more tests to ensure that there is no error when running the program again. This must be done to all the transactions of the customer, and the amount is quite a lot. If there is an error, the error message that appears on the page will be recorded through selenium and done. In the event of an error, it is finally packaged into an exe file, and the batch of business can be completed only by providing input data, sharing 50% of the workload for the business staff.
The Python library used, selenium, json, time, re, csv, os, excel, pdf, word, pandas, etc.
environment: windows
Database:MySQL
Automation: selenium
-The reason for leaving is to serve in the military for 4 months and to contribute to the service of the country.
Because I have to serve in the military, I returned the rented apartment in Taipei and moved back to my hometown in Hsinchu
Software Engineer Intern • Taiwan Microsoft Corporation
10-2019 - 05-2020
-TWD 300 per hour
During this internship, I was primarily responsible for developing big data automation software. I utilized Python as the main programming language and collaborated with the Microsoft Azure cloud platform for data management and processing.
My responsibilities included:
Developing big data automation software using Python to enhance the efficiency of data processing and analysis.
Utilizing Microsoft Azure cloud platform for data management and processing, ensuring the security and integrity of the data.
Employing pytest for software testing to ensure the functionality and performance of the developed software met the expected standards.
Handling software maintenance and updates, and resolving issues encountered by users during its use.
This internship provided me with valuable hands-on experience, deepening my understanding of Python programming and software development. I look forward to applying the skills and knowledge I gained during this period in my future endeavors.
Reason for leaving: My contract ended. With my Master's thesis defense approaching, I decided to conclude my internship duties ahead of schedule.
FinTech Intern - AI Big Data Group • Fubon Financial Holdings Co., Ltd.-Fubon Innovation and Technology Office
09-2018 - 10-2019
-Daily salary 2880 Taiwan dollars
1. Developed specific application projects using Python, including face recognition access control system and stock market analysis and forecasting, etc., and used models such as LSTM for data analysis and forecasting.
2. Have rich professional knowledge and skills in AI and big data, have used a variety of AI and big data analysis tools, and participated in multiple AI and big data analysis projects.
3. Based on market research, data collection and analysis, wrote reports such as industry research and market situation analysis, watched future trends, provided strategies and assisted in project implementation.
4. In the process of integrating the resources provided by each subsidiary of Fubon Financial Holdings and learning from the internship, communicate and cooperate effectively with team members and other departments to jointly promote the progress of the project.
Project 1: Face recognition applied to the company's access control punch card system (the system will be hired by the company)
Technology used:
Programming language: Python
API:
OpenCV: It supports operations such as face detection, face recognition, face tracking, and face comparison.
Dlib: It provides a highly optimized face detection algorithm that supports operations such as key point detection and face alignment.
Face Recognition: Face Detection and Recognition Using Deep Neural Networks. It supports a variety of face recognition algorithms, including algorithms such as FaceNet and OpenFace based on deep learning.
MTCNN: Supports multiple tasks such as face detection, face alignment, and face key point detection at the same time.
TensorFlow: Provides a high-level API that allows users to easily build and train face recognition models.
These kits and frameworks can be used to detect and recognize faces from images or videos, and can perform operations such as face alignment, key point detection, and face comparison, making them suitable for face recognition, security monitoring, and other fields.
Project 2: Application of Artificial Intelligence in Stock Price Prediction (Master's Thesis & AI Hackathon) can refer to the attachment
Technology used:
Programming language: Python
API:
Prophet: A time series prediction library developed by Facebook for predicting stock prices, sales, website traffic, etc. It is based on an additive model, includes factors such as trend, seasonality, and holidays, and can handle missing data and outliers.
TensorFlow: It provides a variety of deep learning models, such as RNN, LSTM, GRU, etc., which can be used for time series prediction problems such as stock price prediction.
Scikit-learn: It supports a variety of machine learning algorithms, such as linear regression, decision tree, random forest, etc., which can be used for stock price prediction.
Keras: It provides a variety of neural network layers and loss functions, which can be used for problems such as stock price prediction.
These suites and frameworks can be used to process time series data and predict financial market data such as stock prices, including seasonal trends, holidays and other factors, and can perform model training, verification and forecasting operations, making them applicable to stock market analysis, investment Portfolio Management etc.
- Leaving employment after the end of the internship program and leaving in response to the end of the internship program.
Education
2020/08 - 2020/11
TibaMe-Wisdom AI Technology Application Engineer Training Course (Youth Phase 1)
AI technology application engineer
Training course:
1.Python windows program, crawler, data cleaning, data organization, data visualization, MySQL, LINE BOT, AWS, GCP, Azure, machine learning, deep learning
2.Participate in topics: 1. Petty Bourgeoisie - AI Financial Robot 2. Smart Clothing Recommendation System
3.Kaggle competition: https://reurl.cc/m9jpEG
4.AI Hackathon Competition Video: https://reurl.cc/A8e9Qd --> Team Name: Petty Bourgeoisie LineChatbot
5.AI Hackathon Competition Video: https://reurl.cc/bRjdLd --> Team Name: Your Wisdom Recommendation Wall
works
2020/05 - 2020/09
Build School Software Engineer Training Institution
Software Engineer
Training course :
C#、HTML、CSS、RWD、BootStrap、SASS、 JavaScript 、jQuery、AJAX、SQL Server、ASP.NET MVC、Github、Git、Azure deployment
Github: https://github.com/crazy85128x/jasonhw
works
2018/09 - 2020/07
National Taipei University of Technology, Taipei Tech (Master)
Institute of Civil Engineering and Disaster Prevention Management (Graduate)
Additional Elective Computer Management Engineering Graduate
Courses 4.0 GPA
Graduation thesis:
1. Random forest decision tree applied to stock price prediction - taking building materials construction stocks as an example
Seminar paper:
1. Research on AI face recognition in smart residential security
2. Artificial intelligence in financial market behavior prediction-taking the analysis of the market trend as an example
3. Discussion on the development and strategy of artificial intelligence model for automation of construction engineering
2014/09 - 2018/06
Chien Hsin University of Science and Technology (Bachelor)
Department of Applied Spatial Information (Graduate)
Courses 4.0 GPA
Feature: Using Google Trends to Build Investor Focus-Based Portfolio Strategies
Hi, I'm Jason， Hsiang-Chun, currently working as a contract HW Software Engineer at Google gchips department through Wipro Taiwan. I collaborate closely with the core team in the United States to develop software programs and perform manual and automated testing. Previously, I worked as a Python RPA Engineer at the Consumer Finance Head Office of DBS Bank in Singapore, and as a Cloud Hardware and Software Test Senior Engineer at Chicony Electronics (Quanta Group) and ICC Cloud Computing Center.
I have a Master's degree in IT from the National Taipei University of Technology and a passion for technology innovation, particularly in the fields of AI and cybersecurity. I am practice in front-end and back-end technologies, and have hands-on experience in various areas, such as Python-based image recognition with OpenCV, automation testing with Selenium, and machine learning with scikit-learn.
I possess strong communication skills and enjoy collaborating with people from different backgrounds. I have experience in managing projects, analyzing data, and problem-solving, gained from my academic studies and work experience. I also value continuous learning and development and have enrolled in various courses, including cloud computing, programming, and web penetration testing, to stay up-to-date with the latest trends and technologies.
In my spare time, I like to participate in hackathons, online competitions, and meetups to exchange ideas and network with other tech enthusiasts. I believe in teamwork, diversity, and inclusion, and strive to create a positive impact in the tech industry.
I'm very upbeat, funny and experienced software engineer, specializing in cloud-based firmware testing and Python RPA automation.
As a senior engineer at Zyxel Technology, developed and implemented an effective cloud-based firmware testing strategy that saved the company over 30% of resources.
As a Python RPA automation engineer at DBS Bank in Singapore, he made a significant contribution by developing and implementing an automated workflow that saved the company more than 40% of its resources.
Currently working as a software engineer at Wipro, making significant contributions to Google's software development initiatives.
Learn programming languages such as Python, Java, and C#. At work, Python is the most commonly used for software development and various software tools and technologies such as selenium.
Good communicator with excellent teamwork skills and has worked with cross-functional teams and departments to develop innovative software solutions.
Passionate about software development and always eager to learn and adopt new technologies.
Looking for new job opportunities to continue to develop my skills and contribute to innovative software projects.
Thank you for your consideration, and I look forward to the opportunity to contribute to your team.