崔雅青

[email protected] | 0989-536922

工作經歷

GIGABYTE Technology, Software Engineer April. 2021 - present

  • Supervised a facial recognition system for nearly 8,000 people using everyday [Product Link]
  • Developed a fence surveillance system at edge end with Socket and Flask API that could be used to integrate with backend services [Product Link]
  • Made improvements to the temperature computing method that has been used in a temperature measurement system [Product Link]
  • Built Flask API for guest machine to compute eigenvalue and recognize face

Taiwan AC Scientific Inc., R&D    Feb. 2017 - Feb. 2021

  • Developed 30+ formulas for skincare products and dealt with 10+ clients
  • Owned utility patent application related to cosmetic raw materials, which help company receive up to 20% of the Company's revenue just for attracting an active client to us
  • Supervised end-to-end production process for toner, essence, lotion and cream

Institute of Molecular Biology, Academia Sinica, Research Assistant    Jul. 2015 - Apr. 2016

  • Conducted research on submergence tolerance study for rice direct seeding
  • Built up rice submergence tolerance experiment systems
  • Cultivated nine rice varieties in air or under submergence to observe traits and gene expression
  • Performed recover test with 3% sucrose to confirm the sugar-dependent flooding tolerance

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

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

Others

  • Built a website of python class with Django framework through Docker [Website]
  • Joined two study groups to learn Kubernetes and block-chain knowledge
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