CakeResume 找人才
進階搜尋
On
4 到 6 年
6 到 10 年
10 到 15 年
15 年以上
曾任
資深工程師 @Velodash Inc.2019 ~ 2023
・
Android / Flutter / Backend
一個月內
Denny Cheng ( 鄭翔元 ) I am a software engineer with diverse skills. From 2016 to 2018, I was responsible for Android and backend development (Python Flask). From 2019 to 2023, my main focus was on Flutter and React. In addition, I also use C# for side project development. My skill set spans across the development of applications for various platforms, and I maintain a curious and learning-oriented attitude towards new technologies. Taipei, Taiwan [email protected] EducationNational Cheng Kung University ( 國立成功大學 ) Computer Science and Information
待業中
・
正在積極求職中
全職 / 對遠端工作有興趣
6 到 10 年
國立成功大學
・
資訊工程學系
曾任
設計 @鳳嬌催化室 Fenko Catalysis Chamber2019 ~ 2023
・
Garphic Designer / Space Planner / Visual Designer
兩個月內
Chaio Wei Hsu Graphic Designer | Visual Designer Taipei City, Taiwan I'm a graphic designer who is curious about things and easy to get along with. I look forward to integrating my professional abilities into the values I identify with and progressing together with the team. Through the power of design, I hope to enable more people to encounter and understand more beautiful things. T |E | [email protected] https://yamayamaxu.myportfolio.com/ Experience NovJul 2023 Taipei, Taiwan Senior Graphic designer Fenko Catalysis Chamber (鳳嬌催化
待業中
・
正在積極求職中
全職 / 對遠端工作有興趣
6 到 10 年
國立政治大學 National ChengChi University
・
傳播學院廣告學系, 東南亞語言學程（泰語）
一個月內
app? Look no further! Our Galatea Points Cheat Generator is here to revolutionize your reading experience. With our innovative tool, you can effortlessly unlock 250 free points, granting you access to a plethora of premium content without breaking the bank. Unveiling the Secrets Behind Our Points Cheat Generator Curious about how it all works? Let's delve into the details: Step 1: Accessing the Generator Simply visit our website and navigate to the Galatea Points Cheat Generator. This intuitive, user-friendly tool is designed to streamline the process, ensuring a seamless experience from start to finish.
就職中
・
目前會考慮了解新的機會
全職 / 我只想遠端工作
10 到 15 年
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
National Taiwan University
・
Agricultural ChemistryApple Magic KB NPI Electronic Supplier Quality Engineer Lead @HON HAI Technology Group2022 ~ 現在
・
Section Manager
一個月內
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
Nation Sun Yat-sen University (NSYSU)
・
E-CommercialSenior Graphic Designer @Self-Employed2019 ~ 現在
・
Visual design and strategic /UX designer/Product design and management/
一個月內
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
長庚大學 Chang Gung University，CGU
・
Industrial design
Software Test Automation Engineer @Atomica AI2021 ~ 現在
・
QA automation engineer / Software development engineer in test
一個月內
testers, like pytest-qatouch a python plugin, and Utask (Todoist clone) , a react web app to be used to practice testing activities. I like to think of myself as an ambivert who tends to be an introvert, a quick learner, flexible working with different tools & technologies in different environments, curious, and eager to gain tons of experiences. Cairo, Egypt [email protected] Phone:Work Experience Software Test Automation Engineer Atomica AI • AprilPresent As an extension to my work in 360Imaging, we moved to Atomica.ai, and I work as a senior manual/automation tester
就職中
・
目前會考慮了解新的機會
兼職 / 我只想遠端工作
4 到 6 年
Udacity
・
Cloud DevOps Engineer
Analyst @Business Next Media Corp.2017 ~ 2019
・
Data Analyst、Data Engineer、Data Scientist、Customer Experience Analyst
一個月內
Wan-Ling (Lyn), Chen CAREER SUMMARY 7 years of diverse data and AI experience in engineering and advisory roles across varied industries. Provided end-to-end advisory on data and AI solutions, covering data platforms, lakehouse architecture, data security & LLM. Led PoCs delivery, solution design, and workshop execution for clients' digital transformation. Managed data architecture across 70 global offices, demonstrating adaptability in complex data landscapes. Actively participated in projects addressing board portfolios such as data and AI, security, and automation. Achieved a 76.6% revenue boost through strategic volume monetization. Goal-oriented, curious
就職中
全職 / 對遠端工作有興趣
4 到 6 年
National Taiwan University
・
Psychology
Software Engineer @SmartNews2019 ~ 現在
・
數據分析 / 資料工程
一個月內
Connor Hsu Curious about data and real world, building product to solve problem, making machine learning into product, writing is my interest. [email protected] Summary 9 years experience of large scale AI product building, and is capable of building product from scratch. Extensive problem solving experience for data science/engineering, and familiar with transferring real problem into requirements and solution planning. A well-rounded engineer in data project who bridges the gap between scientists and engineers. A pragmatic and ownership driven person, experienced with gap analysis, migration plan and release
就職中
・
目前沒有興趣尋找新的機會
全職 / 對遠端工作有興趣
4 到 6 年
National Taiwan University
・
Computer Science
iOS Engineer @99.co2022 ~ 現在
・
iOS Developer
一個月內
Victor Chungyun LEE A Taiwan native, I am a passionate iOS developer currently based in Hong Kong. With a curious mindset and a constant drive to learn, I have pursued interests in teaching computational thinking and exploring innovative products. As an iOS developer and STEM educator, I bring a unique blend of technical expertise and a dedication to continuous growth. TW | HK | SG https://funclosure.xyz/ Work Experience iOS Engineer • 99.co • Remote/SG JulyPresent At 99.co , one of Singapore's leading real estate platforms, I served as an
全職 / 對遠端工作有興趣
4 到 6 年
The Hong Kong Polytechnic University
・
(School of Design) Multimedia and Entertainment Technology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
待業中
求職階段
專業
軟體工程師, Python 開發人員, 機器學習工程師
產業
人工智慧 / 機器學習, 軟體, 資訊服務
工作年資
小於 1 年
管理經歷
無
技能
語言能力
求職偏好
希望獲得的職位
AI工程師、機器學習工程師、深度學習工程師、資料科學家、Machine Learning Engineer、Deep Learning Engineer、Data Scientist
預期工作模式
全職
期望的工作地點
台灣台北, 台灣新北市, 台灣桃園, 台灣新竹, 台灣苗栗, 台灣台中
遠端工作意願
對遠端工作有興趣
接案服務
否
學歷
學校
國立台灣科技大學
主修科系
AI
莊才賢,Cai-Xian(John) Zhuang
[email protected]
+886-983-865-151
About Me
- I graduated from the master of AI group in National Taiwan University of Science and Technology. I like to use AI models to solve some problems that especially focus on computer vision and some image processing.
- I like to challenge the impossible, and I am curious about new knowledge.
- I am looking for a software engineer for a company where I can apply my abilities to help my team to achieve what clients want.
Education & Experience
National Taiwan University of Science and Technology, M.S., Electrical Engineering- AI, Jul. 2019 - Sep. 2021
- Courses included: Machine Learning, Algorithm, Deep Learning, Image and Video Processing
- Research: Video-Based Blood Pressure Estimation Using Two-Step Learning in 3D-CNN
- Predicting ages by faces achieves only 4.2 ages error.
- Predicting gender by faces achieves approximately 98% accuracy.
- Subjects included: Program Designing, Control System, Deep Learning Application Machine Learning
- Eighth place in the whole department
Skills
Language
- Python
- C++
- Arduino
- MATLAB
IDE/Editor Tool
- Jupyter Notebook
- Spyder3
- PyCharm
- Code::Blocks
- Visual Studio
- GitHub
Cloud Service & Database
- Google Colab
- MySQL
Other Knowledge
- AI (Artificial Intelligence)
- Image Preprocessing
- Algorithm
Projects
1.Video-Based Blood Pressure Estimation Using Two-Step Learning in 3D-CNN
We used only face frames to estimate blood pressure with a normal webcam. We proposed two training skills and a two-step learning method to reduce the loss. We finally achieve 6.95/6.53 mmHg (MAEs for SBP/DBP) and 7.50/6.29 (standard deviation for SBP/DBP) which pass the criteria of AAMI.
- Language : Python
- API : Pytorch, Matplotlib, Pandas, cv2, PIL
2.Voice to Sign Language Translation System
Customer says some words. Microphone will collect them. Computer will show the Sign Language films to the hearing-impaired people.
- Language : Python
- API : SpeechRecognition, jieba, Tkinter, cv2
3.The Simpsons Characters Recognition Challenge
We used Simpson dataset and CNN architecture as the model of training and prediction.
- Language : Python
- API : Keras, Matplotlib, Pandas, sklearn, cv2
4.Score Your Face
We used SCUT-FBP5500_v2 dataset and ResNet50 architecture as the model of training and score people’s faces.
- Language : Python
- API : Keras, Matplotlib, Pandas, sklearn, cv2
5.Smart Parking Lot
We combined Arduino and Python to build Smart Parking Lot. We used Arduino to be our warning light, sensors, motors and management system. Using Python to detect and identify license plate.
- Language : Arduino, Python
- API : Keras, Matplotlib, Pandas, sklearn, cv2
Contests
- Participate in 2019 11th IT help ironman competition (AI & Data)
- 2018 NTUT Senior Project Contest - The High Distinction Award
- Participate in 2017 TEL Robot Combat final contest(東京威力科創機器人大賽)
莊才賢,Cai-Xian(John) Zhuang
[email protected]
+886-983-865-151
About Me
- I graduated from the master of AI group in National Taiwan University of Science and Technology. I like to use AI models to solve some problems that especially focus on computer vision and some image processing.
- I like to challenge the impossible, and I am curious about new knowledge.
- I am looking for a software engineer for a company where I can apply my abilities to help my team to achieve what clients want.
Education & Experience
National Taiwan University of Science and Technology, M.S., Electrical Engineering- AI, Jul. 2019 - Sep. 2021
- Courses included: Machine Learning, Algorithm, Deep Learning, Image and Video Processing
- Research: Video-Based Blood Pressure Estimation Using Two-Step Learning in 3D-CNN
- Predicting ages by faces achieves only 4.2 ages error.
- Predicting gender by faces achieves approximately 98% accuracy.
- Subjects included: Program Designing, Control System, Deep Learning Application Machine Learning
- Eighth place in the whole department
Skills
Language
- Python
- C++
- Arduino
- MATLAB
IDE/Editor Tool
- Jupyter Notebook
- Spyder3
- PyCharm
- Code::Blocks
- Visual Studio
- GitHub
Cloud Service & Database
- Google Colab
- MySQL
Other Knowledge
- AI (Artificial Intelligence)
- Image Preprocessing
- Algorithm
Projects
1.Video-Based Blood Pressure Estimation Using Two-Step Learning in 3D-CNN
We used only face frames to estimate blood pressure with a normal webcam. We proposed two training skills and a two-step learning method to reduce the loss. We finally achieve 6.95/6.53 mmHg (MAEs for SBP/DBP) and 7.50/6.29 (standard deviation for SBP/DBP) which pass the criteria of AAMI.
- Language : Python
- API : Pytorch, Matplotlib, Pandas, cv2, PIL
2.Voice to Sign Language Translation System
Customer says some words. Microphone will collect them. Computer will show the Sign Language films to the hearing-impaired people.
- Language : Python
- API : SpeechRecognition, jieba, Tkinter, cv2
3.The Simpsons Characters Recognition Challenge
We used Simpson dataset and CNN architecture as the model of training and prediction.
- Language : Python
- API : Keras, Matplotlib, Pandas, sklearn, cv2
4.Score Your Face
We used SCUT-FBP5500_v2 dataset and ResNet50 architecture as the model of training and score people’s faces.
- Language : Python
- API : Keras, Matplotlib, Pandas, sklearn, cv2
5.Smart Parking Lot
We combined Arduino and Python to build Smart Parking Lot. We used Arduino to be our warning light, sensors, motors and management system. Using Python to detect and identify license plate.
- Language : Arduino, Python
- API : Keras, Matplotlib, Pandas, sklearn, cv2
Contests
- Participate in 2019 11th IT help ironman competition (AI & Data)
- 2018 NTUT Senior Project Contest - The High Distinction Award
- Participate in 2017 TEL Robot Combat final contest(東京威力科創機器人大賽)