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進階搜尋
On
4 到 6 年
6 到 10 年
10 到 15 年
15 年以上
曾任
Presales Specialist @Locobuzz2023 ~ 2023
・
Project Manager, Product Operations, Product Support, Program Manager
一個月內
Engagement Corporate Recruiter & Customer Success • Omm IT Solution AprilAprilTalent Acquisition Strategy Development - Full Cycle Recruitment Process - Collaboration with Hiring Managers and Stakeholders - Employer Branding and Candidate Engagement - Metrics Tracking and Reporting Business Analyst • B.Coder Castle FebruaryAprilAnalyzing Business Processes - Requirements Gathering and Documentation - Data Analysis and Interpretation - Collaboration and Communication - Project Management Support Hobbies Horse Riding, Car Driving, Surfing, Singing Education CHANDIGARH UNIVERSITY EntrepreneurshipIndira Gandhi National Open University History Strategic Management - New Castle University of AustraliaSkills Communication Jira CRM software Client egagement Microsoft Office Gate opener Languages English — Native or Bilingual Hindi — Native or Bilingual Bengali — Native or Bilingual
待業中
・
正在積極求職中
全職 / 對遠端工作有興趣
4 到 6 年
CHANDIGARH UNIVERSITY
・
Entrepreneurship
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
待業中
・
正在積極求職中
全職 / 對遠端工作有興趣
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
Product Marketing Manager — SaaS @CData Software2022 ~ 現在
・
Director of Marketing
兩個月內
Alex Pauncz I'm a creative marketer & strategist passionate about technology, entrepreneurship and marketing. In the last 6 years, I've lead many growth & brand marketing initiatives for CData Software, helping the company scale 10x from a founder-led, bootstrapped startup through three funding rounds led by VC partners. Before joining CData, I cut my teeth as an SEO & copywriter in a B2B marketing agency and at an IT services firm. Raleigh, NC, USA Work Experience OctoberPresent Product Marketing Manager — OEM CData Software - Lead marketing for CData's largest line of business: OEM embedded integration - Set the
就職中
・
正在積極求職中
全職 / 對遠端工作有興趣
10 到 15 年
University of Missouri-Columbia
・
Journalism, Economics
Member @FinTech Connector 2023 ~ 現在
・
Business Development Manager
兩個月內
Divinegift Ayodeji Soetan HealthgoHQ CEO | Revolutionizing Healthcare with Technology | Member ForbesBLk Nigeria Accomplished business development manager with extensive experience in recognizing and capitalizing on opportunities within blockchain, healthcare, fintech, and other industries. a proven track record of driving business growth through strategic planning, market analysis, and client relationship management. Strong communicator and leader capable of fostering collaboration across teams to achieve organizational objectives. Work Experience Member • ForbesBLK October 2023 till Present | Remote. I am a member of Forbes biggest black innovators community. Connected with innovators across Africa and black Americans creating innovation to better the
就職中
・
正在積極求職中
兼職 / 對遠端工作有興趣
4 到 6 年
Y Combinator
・
Entrepreneurship/Entrepreneurial Studies
Intern @商業發展研究院 Commerce Development Research Institute2023 ~ 現在
・
Program Manager
一個月內
generate key insights. Dedicated professional with keen interpersonal, organizational and communication skills for diverse and inclusive modern workplaces. EDUCATION National Yang Ming Chiao Tung University Hsinchu, Taiwan Master of Business Administration, Global MBA Program Sep 2022 – June 2024 GPA: 4.11/4.30 | Specialization in Entrepreneurship, and Supply Chain & Logistics Management Research Assistant (RA) for Professor Kuan-Cheng Huang Teaching Assistant (TA) for Graduate Course: Introduction to Business Management: Economics, Operations and Supply Chain Management, MBA Thesis Hong Kong University of Science and Technology Hong Kong, China Bachelor of Engineering in Logistics Management and Engineering
就學中
・
正在積極求職中
全職 / 對遠端工作有興趣
6 到 10 年
National Yang Ming Chiao Tung University
・
Global MBA Program
Software Engineer @Amazon Web Services (AWS)2023 ~ 現在
・
資深前端工程師、資深後端工程師、全端工程師
一個月內
database such as EF are used to speed up the completion of the entire back-end Entity. Finally, based on my previous development experience, I believe that I can be competent in the software department, thank you. Highlight : The theme of participating in the school's innovation and entrepreneurship competition during the school year is "Cloud Internet of Things and Identity Recognition", which requires the use of Microsoft RMS system, C#, fingerprint identification, AES encryption, and Word watermarking. The competition won the bronze medal. During the semester, I took a case, the theme is artificial
就職中
・
正在積極求職中
全職 / 對遠端工作有興趣
4 到 6 年
Tamkang University
・
資訊工程學系
Recruitment Consultant @CONNECTME2022 ~ 現在
・
Business Development or Key Account Management or Client Acquisition or bundled in.
兩個月內
reaching their potentials, as well as a reputation for being a reliable business partner for corporations entering new markets. My work included talent acquisition, HR consulting and management, business expansion, client management, venture development, organizational management, and starting a brand myself that helped me to understand the experiences of entrepreneurship. I am excited to bring my expertise to you and/or your company and its success. Publications: Canada-Japan Investment Business Guide 2018, 2019/The Canadian Other Ventures: Fuckup Nights Singapore/Useless Wallet Taipei City, [email protected] https://www
就職中
・
正在積極求職中
全職 / 對遠端工作有興趣
10 到 15 年
University of Alberta
・
Economics待業中
・
正在積極求職中
全職 / 對遠端工作有興趣
6 到 10 年
Goldsmiths, University of London
・
Creative and Cultural Entrepreneurship (創意與文化創業)就職中
・
正在積極求職中
全職 / 對遠端工作有興趣
6 到 10 年
中原大學
・
應用數學
Founder @Sat Kabir Saheb Private Limited2023 ~ 現在
・
CEO
一個月內
Madhavrao District Hospital JulyApril 2021 Education ICRI SAM Global University, Bhopal Master Degree, Public Health SpecialistMadhya Pradesh Medical Science University Bachelor Degree, HealthCareMadhya Pradesh board of Secondary Education Higher Secondary ,BiologyMadhya Pradesh board of Secondary Education MPBSE 10thSkills Patient Care Critical Thinking and Problem Solving Covid duty experience Ms. Excel MS Word MS Power Point MS Office Business Strategy Communication Team Building Real Estate Sales business owners direct sales Business Analysis Business Development Strategies Marketing Strategy Social Media Marketing Direct Sales startup leadership ENTREPRENEURSHIP B2B Business Development B2B and B2C Sales Teamwork Languages English — Professional Hindi — Fluent Gujarati — Intermediate
就職中
・
目前會考慮了解新的機會
全職 / 對遠端工作有興趣
4 到 6 年
ICRI SAM Global University, Bhopal
・
Public Health Specialist最輕量、快速的招募方案，數百家企業的選擇
搜尋履歷，主動聯繫求職者，提升招募效率。
- 瀏覽所有搜尋結果
- 每日可無限次數開啟陌生對話
- 搜尋僅開放付費企業檢視的履歷
- 檢視使用者信箱 & 電話
搜尋技巧
1
嘗試搜尋最精準的關鍵字組合
資深 後端 php laravel
2
將須完全符合的字詞放在雙引號中
"社群行銷"
3
在不想搜尋到的字詞前面加上減號，如果想濾掉中文字，需搭配雙引號使用 (-"人資")
UI designer -UX
職場能力評價定義
專業技能
該領域中具備哪些專業能力（例如熟悉 SEO 操作，且會使用相關工具）。
問題解決能力
能洞察、分析問題，並擬定方案有效解決問題。
變通能力
遇到突發事件能冷靜應對，並隨時調整專案、客戶、技術的相對優先序。
溝通能力
有效傳達個人想法，且願意傾聽他人意見並給予反饋。
時間管理能力
了解工作項目的優先順序，有效運用時間，準時完成工作內容。
團隊合作能力
具有向心力與團隊責任感，願意傾聽他人意見並主動溝通協調。
領導力
專注於團隊發展，有效引領團隊採取行動，達成共同目標。
專業背景
目前狀態
就職中
求職階段
專業
軟體工程師, 研發, 機器學習工程師
產業
製造, 人工智慧 / 機器學習, 軟體
工作年資
1 到 2 年
管理經歷
無
技能
語言能力
Chinese
・
母語或雙語
English
・
中階
Japanese
・
初階
求職偏好
希望獲得的職位
機器學習、資料科學工程師
預期工作模式
全職
期望的工作地點
Taiwan, 台灣, Taipei, 台灣
遠端工作意願
對遠端工作有興趣
接案服務
是，我利用業餘時間接案
學歷
學校
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%]