崔雅青
[email protected] | 0989-536-922
工作經歷
GIGABYTE Technology, Software Engineer April. 2021 - Aug. 2022
- Supervised and maintained a facial recognition system using openCV and Flask API for nearly 1,000 people using everyday [Product Link]
- Developed a fence surveillance system at edge end with Socket and Flask that could be used to integrate with backend services [Product Link]
- Made enhancement to the body temperature measurement system by using Flir mapping technique to minimize the effect of ambient temperature and reducing the temperature identification time from 3 seconds to 1 second [Product Link]
- Built restful API for face-recognition to support app team to achieve face recognition punch card attendance machine using Flask API for nearly 1,000 people punch in
- Developed a facial recognition system using pyqt5 for rest API connection
- Trained the YOLO model with customized data, achieved 80% on mAP and improved 150% fps rate in the object detection
- Deployed the ML models in service, served 500 daily active users
Coding & Co-working Club, Backend Engineer Sep. 2020 - present
- Developed a web application using Django restful framework and deployed it on Amazon EC2 through Docker
- Wrote a login required middleware class for user authentication
- Designed Restful API including database Schema, URL pattern, request method and return data in each apps like course, project and questionnaire with frontend, and UI/UX designer
- Wrote model and API functional testing with pytest and automated it with CI Pipelines
Projects
Music Genre Classification [Slides]
- Built music genre classifiers using various machine learning algorithms, including gradient boosting machine, random forest, decision tree, logistic regression, and K-nearest neighbors and achieved ~80% accuracy
- Applied PCA for feature reduction and standardized feature set using scikit-learn
- Used package: python, scikit-learn
Hiking Assistant [Line Chatbot]
- Built a Line ChatBot for hikers to search trail information and pictures
- Scraped hiking webpages using Requests and Beautiful Soup
- Designed a messaging API using Line developers
- Built Flask Web App and Used Heroku for deployment with MySQL database
- Used package: python, Heroku, Flask, Beautiful Soup, MySQL
學歷
2011 - 2015
National Taiwan University
B.S. in Agronomy, GPA 3.84
• Presidential Award (awarded to top 5% students)
• Known-You Social Welfare Foundation Award
• Agronomy Graduating Class of 1966 Award
TOOLS & SKILLS
- Programming Language: Python
- Cloud Application Platform: Heroku, AWS
- Frameworks: Django Rest Framework, Flask
- Utilities: Git, Docker
- Database: MongoDB, PostgresSQL, MySQL
- API: Restful API, Socket API (TCP/IP)
- Web scraper: Selenium, Beautiful Soup
