Chen-Lun Fan(Allen)
Being curious and love learning new technologies also highly interested in AI and machine learning. In Trend Micro, I response for network related features and use SQL to query some data from our product(Titanium) to do some data analysis. Also, I own some web related automation using selenium and Python.
My master's thesis is related to deep learning. During the master's degree, I used Python and tensorflow for data analysis, network packet reception, database concatenation, and adjustment of prediction models.
Skills
Programming Languages
- C++
- Python
- SQL
Data Analysis
- Database concatenation
- Packet parsing(TCP/IP)
- Familiar with the scikit-learn, tensorflow, keras kit(from Python)
- Use SQL to query data from database
- Use Tableau to import data and perform some report
Testing skills
- Automation on website
- Selenium
- RAT, FAST...etc
- Trouble-shooting for bug
Work Experience
Trend Micro, Software QA Engineer, March 2020 - Now
- Owner of Networking related features of product(Titanium) on QA side
- Regression test, Functional Test, RAT, FAST... etc.
- Making test plan, estimating effort of every iteration of product schedule
- End-to-end testing with Back-end team
- Using Python & Selenium to maintain Web Extension Automation testing
- Handling trouble-shooting
- Data Analysis on product
Zyxel(合勤科技), Intern, July 2015 - June 2016
- Assisted in writing automated test programs
- Assisted in stress testing
- Helped write some web pages for internal employees to upload and download
Education
M.S. Degree of Computer Science and Engineering
Thesis & Research
My thesis is called Surface Roughness Prediction based on Markov Chain and Deep Neural Network for Wire Electrical Discharge Machining(WEDM), which is about quality prediction. Wire Electrical Discharge Machining is a current processing method in industrial, which is a type of electrical discharge machining. I had also proposed it as a conference paper on IEEE ECICE 2019. In addition, I am familiar with Machine Learning, Deep learning algorithm and Neural Network, such as CNN, RNN.
