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On
4 到 6 年
6 到 10 年
10 到 15 年
15 年以上
Taipei City, Taiwan
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
Senior Software Engineer @CPC Corporation, Taiwan2018 ~ 現在
・
Sr. Software Engineer, Project Manager
兩個月內
I prioritize maintainable code, leading to extensive refactoring during my tenure. I find satisfaction when functionalities I develop benefit users, hence my earnest discussions with users about their usage scenarios honed through extensive interpersonal experiences during my military service. In the future, I aspire to deepen my expertise in software development while branching into DevOps and artificial intelligence fields, approaching this with an open-minded attitude. I hope for the opportunity to collaborate with your team and contribute unique value to the company! Best regards, Chang, Chung-Ho Work Experience 07/Present Se...
就職中
・
正在積極求職中
全職 / 對遠端工作有興趣
6 到 10 年
San Diego State University
AI Engineer/系統開發工程師 @中信金控_台灣人壽保險股份有限公司2022 ~ 現在
・
AI Engineer
一個月內
— GISH G SUMMARY Aiming to be a data scientist unicorn who excels at applied machine learning in a business/finance-related field. DevOps Engineer(Python) for Automatic Claim Processor (ACP) - OCR System (Hospital Diagnosis/Receipt). Applying tree-based algorithms to model Credit Scoring predictions in the finance industry. Achieving Hyperautomation through AI and RPA, which uses a special set of tools to automate tasks. Working Experience NovNow Artificial Intelligence Engineer @ CTBC Taiwan Life Insurance AI Team DevOps Engineer(Python) for Automatic Claim Processor (ACP) - OCR System (Hospital Diagnosis/Receipt) 1.
就職中
・
正在積極求職中
全職 / 對遠端工作有興趣
4 到 6 年
國立台灣大學 National Taiwan University
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Business Administration
Director of Integrated Marketing Center @財團法人人工智慧科技基金會2023 ~ 現在
・
PM/產品經理/專案管理
一個月內
every step matters. I enjoy thinking and feel I have a severe "information addiction" common in marketing. I won't miss chances to learn new things and can't go a week without learning or a day without the internet. Work Experience Director of Integrated Marketing Center • Artificial Intelligence Foundation AprilPresent 1. AI project consulting Help companies understand how they can use AI and how to apply it. 2. AI project development Develop AI projects from other companies and internal needs. Deputy Director • OSENSE TECHNOLOGY CO., LTD. MarchMarch 2023 Business proposals
就職中
・
目前會考慮了解新的機會
全職 / 對遠端工作有興趣
10 到 15 年
Shih Chien University
・
企業管理系就職中
全職 / 暫不考慮遠端工作
6 到 10 年
中原大學 Chung Yuan Christian University
・
化學工程/生醫材料工程
全端工程師 (電腦視覺及軟體) @Spingence (偲倢科技股份有限公司)2020 ~ 2023
・
AI工程師、ML工程師、資料科學家、軟體工程師
一個月內
Ta-Chun Lin (TC) 近20年的海外居住經驗，我培養了突出的學習及創新能力，更進一步使我擁有了自信自強的性格。 在這個產業中，在知名的AI公司及大型集團，我有著約5年的經驗，這成就了我扎實的專業素養，如專案進程、客戶及團隊溝通、衝突管理等
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
澳洲昆士蘭科技大學 (QUT)
・
電腦科學 (碩士)
曾任
Product Manager @Kono 美商知識能股份有限公司2022 ~ 2022
・
Project Manager、PM、專案經理、UX、網站企劃、產品企劃
兩個月內
王俊元(Jeffrey Wang) 產品經理健身房 | 音樂科技網 | Music Tech Alliance | [email protected] 超過 5 年軟體產品開發經驗，主要為網站、App 和桌機端的 B2C 服務，有 0~1 產品開發和 AI 演算法的實務經驗，待過音樂串流、AI 演算法開發和 Wi-Fi 智慧照護公司。 工作經歷 產品經理 2023年11
待業中
・
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
東吳大學
・
國際貿易
Senior Machine Learning Engineer @CoolSo2020 ~ 現在
・
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
一個月內
+ / Python SDK and deployed DNN models on Android and Linux / Windows. Digital Marketing and Advertisement (Volunteer) - Drove brand awareness and reach through digital channels - Created and managed posts on Facebook, LinkedIn, Instagram - Filmed and edited YouTube videos showcasing CoolSo's capabilities JulyPresent Chief Technology Officer / Artificial Intelligence Engineer • Checkitout Technology Checkitout's smartphone solution employed machine learning and computer vision for efficient counterfeit detection, safeguarding customer interests Leadership and Strategic Contributions - Founded and led a dynamic engineering team to develop counterfeit detection solutions, successfully showcased the prototype to customers within 3 months - Engaged with customers
全職 / 對遠端工作有興趣
4 到 6 年
University of California, Berkeley
・
Business/Commerce, General
Blockchain Enginner & AI Lead @Portal Network
Blockchain engineer & Blockchain consulting
一個月內
co-founding a blockchain company where I developed the pioneering deep learning model for estimating the value of decentralized domain names. Currently, I manage ArgsData and MorphusAI, innovative companies focused on delivering cutting-edge data solutions and advancing digital human technology through advanced deep learning methodologies. Professional Skills: Artificial Intelligence Facial Recognition and Facial AI Technologies: Real-Time Facial Expression Tracking and Analysis: Utilizing advanced machine learning algorithms for immediate recognition and analysis of facial expressions, enhancing user interaction experiences. Emotion Recognition Systems: Developing AI systems capable of understanding and responding to user emotions, used to enhance
全職 / 對遠端工作有興趣
4 到 6 年
就職中
全職 / 對遠端工作有興趣
10 到 15 年
National Taiwan University of Science and Technology
・
Master's degree Computer Science and Information Engineering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)