CakeResume 找人才
进阶搜寻
On
4 到 6 年
6 到 10 年
10 到 15 年
15 年以上
Software engineer
Algorithm Research & Development @適着三維科技股份有限公司 TG3D Studio Inc.2021 ~ 现在
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Software Engineer
一個月內
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
就职中
・
正在积极求职中
全职 / 对远端工作有兴趣
4 到 6 年
國立台灣大學
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生物產業機電工程所
Data Engineer @漸強實驗室 Crescendo Lab Ltd.2020 ~ 2022
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Software Engineer
一年內
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/
就职中
全职 / 对远端工作有兴趣
4 到 6 年
國立台灣大學 National Taiwan University
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資訊工程
对远端工作有兴趣
4 到 6 年
National Chiao Tung University
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Institutes of Multimedia Engineering最轻量、快速的招募方案，数百家企业的选择
搜寻简历，主动联系求职者，提升招募效率。
- 浏览所有搜寻结果
- 每日可无限次数开启陌生对话
- 搜尋僅開放付費企業檢視的简历
- 检视使用者信箱 & 电话
搜寻技巧
1
Search a precise keyword combination
senior backend php
2
Use quotes to search for an exact phrase
"business development"
3
Use the minus sign to eliminate results containing certain words
UI designer -UX
职场能力评价定义
专业技能
该领域中具备哪些专业能力（例如熟悉 SEO 操作，且会使用相关工具）。
问题解决能力
能洞察、分析问题，并拟定方案有效解决问题。
变通能力
遇到突发事件能冷静应对，并随时调整专案、客户、技术的相对优先序。
沟通能力
有效传达个人想法，且愿意倾听他人意见并给予反馈。
时间管理能力
了解工作项目的优先顺序，有效运用时间，准时完成工作内容。
团队合作能力
具有向心力与团队责任感，愿意倾听他人意见并主动沟通协调。
领导力
专注于团队发展，有效引领团队采取行动，达成共同目标。
专业背景
目前状态
就职中
求职阶段
目前没有兴趣寻找新的机会
专业
软体工程师
产业
软件, 资讯服务, 人工智能 / 机器学习
工作年资
小於 1 年
管理经历
无
技能
语言能力
English
・
中阶
Chinese
・
母语或双语
求职偏好
希望获得的职位
software engineer
预期工作模式
全职
期望的工作地点
Taipei, 台灣, New Taipei City, 台灣, Hsinchu, 新竹市台灣
远端工作意愿
对远端工作有兴趣
接案服务
否
学历
学校
The University of Melbourne 澳洲墨爾本大學
主修科系
Information Technology
Zavier Yang
The University of Melbourne, Master of IT•2020 - 2021
Yuan Ze, Bachelor of Electrical Engineering •2015 - 2019
Working Experience
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
Zavier Yang
The University of Melbourne, Master of IT•2020 - 2021
Yuan Ze, Bachelor of Electrical Engineering •2015 - 2019
Working Experience
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