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
曾任
Lead of Country Product Manager @Asus 華碩電腦股份有限公司2022 ~ 2023
・
Business Development / Product Manager / Product Marketing/ Strategy Manager
一個月內
Jimmy Lu (呂正彥) Senior Product Manager [Consumer Electronics Expatriate PM/Sales/BD] Entrepreneurship business development & management Leadership flexible & efficient international/cross-functional organizing Target-oriented project lead & SOP consolidation, product lifecycle management Begin with the end in mind Go-to-market execution Taipei, Taiwan < > London, UK https://www.linkedin.com/in/itsjimmy/ [email protected] Work experience Senior Product Manager [Consumer NB & Gaming ] • ASUSTeK Computer Indonesia JulDec 2023 | Jakarta, Indonesia Key responsibilities & Achievements - #business management #business development #team leading #cross-functional organizing
待业中
・
正在积极求职中
全职 / 对远端工作有兴趣
4 到 6 年
國立陽明交通大學(National Yang Ming Chiao Tung University)
・
Bachelor of management , Management of Transportation and Logistics
就职中
・
正在积极求职中
兼职 / 对远端工作有兴趣
10 到 15 年
Institut Teknologi Sepuluh Nopember (ITS)
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Environmental Engineering Technology/Environmental Technology
曾任
Product Manager @Binance2022 ~ 2023
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Front-end Engineer, Product Manager
一個月內
Kevin Chang Product Manager / Front-end Engineer Taiwan This is Kevin Chang, dynamic web developer and skilled product strategist, adept in leveraging technologies like React and Next.js to develop engaging web applications. Specialized in creating user-focused solutions, as evidenced in the AI Baby Board Book Web app. Combines front-end skills with a keen sense of product development, aiming to contribute to a team that values innovation and user experience. Work Experience Front-end Engineer Trainee • WeHelp Web Development Bootcamp JulJanDeveloped & designed "AI Baby Board Book" website using React and Next.js
待业中
・
正在积极求职中
全职 / 对远端工作有兴趣
6 到 10 年
National Chengchi University
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Innovation and Intellectual Property ManagementService Manager @Geekplus International Co. Ltd2020 ~ 现在
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COO or Head of Operations or Head of Sales/Business Development
一個月內
就职中
・
正在积极求职中
全职 / 对远端工作有兴趣
10 到 15 年
Hong Kong Polytechnic University
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Bsc Hon Hotel Management就职中
・
正在积极求职中
全职 / 对远端工作有兴趣
10 到 15 年
Shih Hsin University
・
Management Information Systems, General
曾任
博士後研究員 @洛桑大學神經發育疾病實驗室2023 ~ 2023
・
Data Scientist, Data Analyst, Machine Learning Engineer
一個月內
陳勤霖 神經工程博士背景的數據分析師 Ph.D. in Neuroscience from Neuroengineering lab I have 5 years of hands-on experience in image and data analysis with biotechnology innovation projects. Dependable ability in managing collaborative projects to success. Business-driven motivation to apply analytic skills to optimize the product and its development procedure. https://chinlinchen1312.wixsite.com/chin-lin-chen 工作經歷 一月十二月 2023 博士後研究員 洛桑大
待业中
・
正在积极求职中
全职 / 对远端工作有兴趣
4 到 6 年
洛桑聯邦理工學院(EPFL)
・
神經科學
VP of sales @Rongxin Technology Taiwan office2020 ~ 现在
・
國內/外業務人員/主管
一個月內
Shih Ming Wang 22 years professional experience in business development, marketing, operation, key account management and product/project management. Experienced in business development and managing tier 1 OEM/ODM customers like Apple, HP, Dell, ASUS, Acer, Quanta, Compal, Wistron, Foxconn, Inventec, Pegatron, ROE, Innolux, GIS, Merry and IEC Advanced skilled in team development, problem-solving, process innovation and goal accomplishment in multi-national companies. Strong team leader and player, excellent interpersonal communication and negotiation skills. Capable of establishing rapport with internal team members(operation, sourcing, NPI), upper management and external partners(sourcing, mechanical engineering, ID
就职中
・
正在积极求职中
全职 / 对远端工作有兴趣
15 年以上
Chung Hua University
・
Mechanical Engineering
曾任
Senior Front-End Software Engineer @KKSTREAM 香港商科科串流股份有限公司2020 ~ 2022
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前端工程師 Front-End Developer
一個月內
Independently designed and constructed the user interface for the AI deep learning platform Epeuva. Developed a local labeling tool for data scientists, reducing manual efforts by a factor of 10. Enhanced real-time object and behavior detection visualization on local devices, winning the Ecosystem Prize at the Audi Innovation Award. May 2017 – Mar 2019 Front-End Developer • QNAP Collaborated on various Proof of Concepts (POCs) with backend engineers and UI designers. Engaged independently in the early-stage front-end development of Cinema28, enabling multimedia streaming to network-attached storage (NAS)-connected devices. Mentored two interns
待业中
・
正在积极求职中
全职 / 对远端工作有兴趣
6 到 10 年
國立中山大學 National Sun Yat-Sen University
・
Computer Science
曾任
Strategic Partnerships Manager @Our Happy Company2019 ~ 2023
・
Strategic Partnerships, Business Development
一個月內
brands, including Warner Music, Sony Music, Budweiser, Pizza Hut, Carrefour, and Condé Nast. Successfully negotiated commercial terms with partners, contributing to a remarkable 200% increase in partner acquisition rates. - Enhanced brand partnerships by proactively addressing partners' challenges through streamlined onboarding processes, cutting-edge blockchain and AR solutions, digital innovation, and fan engagement initiatives. - Led a task force team in expanding into the US and Taiwan market and driving sales growth, while fostering effective communication and alignment among cross-functional teams, including senior management, marketing, product, engineering, legal, finance, and ad/PR agencies, resulting in an impressive
待业中
・
正在积极求职中
全职 / 对远端工作有兴趣
6 到 10 年
Columbia College Chicago
・
Arts, Entertainment, and Media Management
Test Equipment Technician @Micron Technology 台灣美光2018 ~ 现在
・
製程工程師、設備工程師、半導體工程師
一個月內
ESD/CIP/Automation improvement/upgrade/Setup *HW Automation system ET/RMS/Recipe setting *Work with Process engineers to define hardware modifications for new process viability and existing process improvement *Support in providing detailed, expert analysis to team members and managers on project, technical, or innovation issues # Equipment shifts *Execute installation, modification, project management, and maintenance support for pilot equipment sets *Solve straightforward problems with guidance to identify root cause of equipment shifts *Provide suggested solutions to real-time equipment problems *Maintain active projects to reduce equipment total cost of ownership *Demonstrate ownership of
就职中
・
正在积极求职中
全职 / 暂不考虑远端工作
10 到 15 年
南台科技大學
・
電機工程系最轻量、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
专业
软体工程师, 研发, 机器学习工程师
产业
制造, 人工智能 / 机器学习, 软件
工作年资
1 到 2 年
管理经历
无
技能
语言能力
Chinese
・
母语或双语
English
・
中阶
Japanese
・
初阶
求职偏好
希望获得的职位
機器學習、資料科學工程師
预期工作模式
全职
期望的工作地点
Taiwan, 台灣, Taipei, 台灣
远端工作意愿
对远端工作有兴趣
接案服务
是，我利用业余时间接案
学历
学校
National Taiwan University
主修科系
Civil Engineering
Zhao-Yang Zhuang (莊昭陽)
Experience with computer vision, deep learning. I am very passionate about design a novel DL model architecture for real world problems and hope to participate in more types of applications.
ML engineer Data scientist
[email protected] https://www.linkedin.com/in/rogan-zhuang/
Educations
National Taiwan University
Civil Engineering, Computer-Aided Engineering Group (M.S. degree)
(2018 ~ 2020)
Master Thesis:
Deep-learning method assisted crane for sway prediction: Recurrent Kalman Network.
Work Experiences
(Automation Services Co., LTD.) (AI/CV Engineer)
(Feb, 2021 - Oct, 2021)
- The main developer of AI/CV algorithm.
- Compiled the AI/CV part of automatic fabric inspection machine alone from scratch.
Research Experiences
Deep-learning method assisted crane for sway prediction : Recurrent Kalman Network
(Dec, 2019 - Jun, 2020)
Robotic LAB, NTU & 祐彬 Construction Co., Ltd
- Predicting the future position of a payload by RKN to assist in the automation of crane.
- The state of the payload system can be inferred by the combined information between the image pixels.
Tensorflow(Keras) OpenCV Python C/C++ Deep Learning
The second generation of automatic fabric inspection machine
(Feb, 2021 - Apr, 2021)
Automation Services Co., LTD.
- Detecting the defects on the textile by deep learning that efficiency is at least ten times of manual visual inspection.
- Calculate the area and location of defects by semantic segmentation.
- The prototype machine can detect the width of about two meters with eight cameras.
C# Deep Learning
The third generation of automatic fabric inspection machine
(May, 2021 - Oct, 2021)
Automation Services Co., LTD.
- Based on the second-generation inspection machine, all of the features are upgraded, such as image grabbing system, camera calibration system, deep learning framework, thread optimization, etc.
- This mass production machine is online.
- Not implemented using Tensorflow or Pytorch.
Key achievement: 100% detection of defects required by customers, 36x8 frames per second detection speed.
C# Deep Learning Cameras System Multithread Programming
Side Projects
- Image automatic labeling: CNN-base object tracking by Siam-Net. [labeling 90x faster than manual]
- Document layout analyzing: locate file elements (titles, text, pictures, etc.) by image segmentation.
- HousePrice-prediction: Predict the HousePrice in Feature Engineering & Advanced Regression. [Kaggle top 0.04%]
- Flowers classification: Distributed training a CNN to classify 104 kinds of flower pictures. [Kaggle top 0.09%]
Zhao-Yang Zhuang (莊昭陽)
Experience with computer vision, deep learning. I am very passionate about design a novel DL model architecture for real world problems and hope to participate in more types of applications.
ML engineer Data scientist
[email protected] https://www.linkedin.com/in/rogan-zhuang/
Educations
National Taiwan University
Civil Engineering, Computer-Aided Engineering Group (M.S. degree)
(2018 ~ 2020)
Master Thesis:
Deep-learning method assisted crane for sway prediction: Recurrent Kalman Network.
Work Experiences
(Automation Services Co., LTD.) (AI/CV Engineer)
(Feb, 2021 - Oct, 2021)
- The main developer of AI/CV algorithm.
- Compiled the AI/CV part of automatic fabric inspection machine alone from scratch.
Research Experiences
Deep-learning method assisted crane for sway prediction : Recurrent Kalman Network
(Dec, 2019 - Jun, 2020)
Robotic LAB, NTU & 祐彬 Construction Co., Ltd
- Predicting the future position of a payload by RKN to assist in the automation of crane.
- The state of the payload system can be inferred by the combined information between the image pixels.
Tensorflow(Keras) OpenCV Python C/C++ Deep Learning
The second generation of automatic fabric inspection machine
(Feb, 2021 - Apr, 2021)
Automation Services Co., LTD.
- Detecting the defects on the textile by deep learning that efficiency is at least ten times of manual visual inspection.
- Calculate the area and location of defects by semantic segmentation.
- The prototype machine can detect the width of about two meters with eight cameras.
C# Deep Learning
The third generation of automatic fabric inspection machine
(May, 2021 - Oct, 2021)
Automation Services Co., LTD.
- Based on the second-generation inspection machine, all of the features are upgraded, such as image grabbing system, camera calibration system, deep learning framework, thread optimization, etc.
- This mass production machine is online.
- Not implemented using Tensorflow or Pytorch.
Key achievement: 100% detection of defects required by customers, 36x8 frames per second detection speed.
C# Deep Learning Cameras System Multithread Programming
Side Projects
- Image automatic labeling: CNN-base object tracking by Siam-Net. [labeling 90x faster than manual]
- Document layout analyzing: locate file elements (titles, text, pictures, etc.) by image segmentation.
- HousePrice-prediction: Predict the HousePrice in Feature Engineering & Advanced Regression. [Kaggle top 0.04%]
- Flowers classification: Distributed training a CNN to classify 104 kinds of flower pictures. [Kaggle top 0.09%]