CakeResume Talent Search

上級
On
4〜6年
6〜10年
10〜15年
15年以上
Software engineer
Avatar of Patrick Hsu.
Avatar of Patrick Hsu.
Algorithm Research & Development @適着三維科技股份有限公司 TG3D Studio Inc.
2021 ~ 現在
Software Engineer
1ヶ月以内
Patrick Hsu AI Research & Development As a seasoned AI engineer with six years of experience, I specialize in computer vision, 3D body model reconstruction, generative AI, and possessing some knowledge in natural language processing (NLP). | New Taipei City, [email protected] Work Experience (6 years) Algorithm Research & Design• TG3D Studio MayPresent A skilled engineer specialized in computer vision and generative AI with experience in developing and training AI models for digital fashion applications. Body AI: Virtual Try On Integrated cutting-edge technologies such as Stable Diffusion, ControlNet, and Prompt Engineering to create a sophisticated system for
Python
AI & Machine Learning
Image Processing
就職中
面接の用意ができています
フルタイム / リモートワークに興味あり
4〜6年
國立台灣大學
生物產業機電工程所
Avatar of Leo Lin.
Avatar of Leo Lin.
Data Engineer @漸強實驗室 Crescendo Lab Ltd.
2020 ~ 2022
Software Engineer
1年以内
You-En (Leo) Lin Python developer 6+ years of experience in backend development. 3+ years of experience in data engineering. 4+ years of experience in software architecture on GCP. Mobile:Taiwan) E-mail: [email protected] Github: https://github.com/CoyoteLeo LinkedIn: https://www.linkedin.com/in/leo-yelin/ Medium: https://medium.com/@CoyoteLeo Work Experience Software Engineer • Crescendo Lab JulOct 2022 • 5 yr 3 mos Python/Django/Airflow/dbt/PostgreSQL/
Python
Django
Airflow
就職中
フルタイム / リモートワークに興味あり
4〜6年
國立台灣大學 National Taiwan University
資訊工程
Avatar of the user.
Avatar of the user.
Co-Founder & Algorithm developer @iStaging
2015 ~ 現在
Software Engineer
1年以上
Unity3D
pytorch
tensorflow
リモートワークに興味あり
4〜6年
National Chiao Tung University
Institutes of Multimedia Engineering

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1年以上
Intern Engineer at Intumit
Logo of Trend Micro 趨勢科技.
Trend Micro 趨勢科技
2022 ~ 現在
Taoyuan, 桃園區桃園市台灣
Professional Background
現在の状況
就職中
求人検索の進捗
就職を希望していません
Professions
Software Engineer
Fields of Employment
ソフトウェア, Information Services, 人工知能/機械学習
職務経験
1年未満
Management
なし
スキル
Python
JAVA
JMeter
Machine Learning
Natural Language Processing
Deep Learning
keras
Github
Git
Agile Development
Scikit-Learn
Spring Framework
JSP
言語
English
中級者
Chinese
ネイティブまたはバイリンガル
Job search preferences
希望のポジション
software engineer
求人タイプ
フルタイム
希望の勤務地
Taipei, 台灣, New Taipei City, 台灣, Hsinchu, 新竹市台灣
リモートワーク
リモートワークに興味あり
Freelance
いいえ。
学歴
学校
The University of Melbourne 澳洲墨爾本大學
専攻
Information Technology
印刷

Zavier Yang

The University of Melbourne, Master of IT•2020 - 2021

Yuan Ze, Bachelor of Electrical Engineering2015 - 2019

Working Experience

Engineer Trend Micro  •  06/2022 - Present

  Start to train as a cloud infra

Java Software Engineer INTUMIT  •  01/2022 - 05/2022

  JAVA/Spring related frameworks /JSP/Frontend related/Git/Jira

  • Maintenance, such as debug according to the Jira issue reported by QA.
  • Add and adjust functions according to the PM's needs.

Intern Engineer INTUMIT  •  07/2021 - 12/2021

Python/Pandas/Flask/JAVA/scikit-learn/Git/Jmeter/NLP

My Responsibility

  • Improve the client's document recommendation algorithm and developed to an API 
  • Data extraction, manipulation
  • Stress testing and other team support

Capstone Project Member ARPANSA •  08/2021-11/2021

  Python/Pandas/Git/Agile SDLC

  • Scrum Master: progress managing and monitoring, time scheduling, meetings arrangement and tasks assignment.
  • Data extraction, manipulation, and visualization
  • Issue raising and discussion, information sharing, and problem solving

Research Assistant Cooperation with China Steel Corporation •  2018-2019

  Python/Keras and Tensorflow/Computer Vision/Machine and Deep Learning

  • One of the main people in charge of the project, responded for model research, designing, training and evaluation
  • Data manipulation, and scheduled progress and issue reporting
  • Project closure report writing and editing.

The University of Melbourne Project Contest


Introduce to Machine Learning Kaggle competition – Music Genre Classification. 

  Python/Keras and scikit-learn/Machine Learning

  • Using supervised learning algorithm to train lyrics and audio features to predict music genre. 
  • Total participants: 306. Public result – Top 8%, Private result – Top 26%
  • Detail information: Music Genre Classification

Natural Language Processing Codalab competition – Twitter Rumor detection. 

  Python/Pytorch and scikit-learn/Machine Learning

  • Using BERT model to train whether Twitter articles are rumors.
  • Total participants: 308. Public result – Top 10%, Private result – Top 11%
  • Detail information: Rumor Detection on Twitter

Others

Certificate


  • AWS Certified Cloud Practitioner
    • J7BKK54BB2E119G5
Resume
プロフィール

Zavier Yang

The University of Melbourne, Master of IT•2020 - 2021

Yuan Ze, Bachelor of Electrical Engineering2015 - 2019

Working Experience

Engineer Trend Micro  •  06/2022 - Present

  Start to train as a cloud infra

Java Software Engineer INTUMIT  •  01/2022 - 05/2022

  JAVA/Spring related frameworks /JSP/Frontend related/Git/Jira

  • Maintenance, such as debug according to the Jira issue reported by QA.
  • Add and adjust functions according to the PM's needs.

Intern Engineer INTUMIT  •  07/2021 - 12/2021

Python/Pandas/Flask/JAVA/scikit-learn/Git/Jmeter/NLP

My Responsibility

  • Improve the client's document recommendation algorithm and developed to an API 
  • Data extraction, manipulation
  • Stress testing and other team support

Capstone Project Member ARPANSA •  08/2021-11/2021

  Python/Pandas/Git/Agile SDLC

  • Scrum Master: progress managing and monitoring, time scheduling, meetings arrangement and tasks assignment.
  • Data extraction, manipulation, and visualization
  • Issue raising and discussion, information sharing, and problem solving

Research Assistant Cooperation with China Steel Corporation •  2018-2019

  Python/Keras and Tensorflow/Computer Vision/Machine and Deep Learning

  • One of the main people in charge of the project, responded for model research, designing, training and evaluation
  • Data manipulation, and scheduled progress and issue reporting
  • Project closure report writing and editing.

The University of Melbourne Project Contest


Introduce to Machine Learning Kaggle competition – Music Genre Classification. 

  Python/Keras and scikit-learn/Machine Learning

  • Using supervised learning algorithm to train lyrics and audio features to predict music genre. 
  • Total participants: 306. Public result – Top 8%, Private result – Top 26%
  • Detail information: Music Genre Classification

Natural Language Processing Codalab competition – Twitter Rumor detection. 

  Python/Pytorch and scikit-learn/Machine Learning

  • Using BERT model to train whether Twitter articles are rumors.
  • Total participants: 308. Public result – Top 10%, Private result – Top 11%
  • Detail information: Rumor Detection on Twitter

Others

Certificate


  • AWS Certified Cloud Practitioner
    • J7BKK54BB2E119G5