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上級
On
4〜6年
6〜10年
10〜15年
15年以上
Algorithm Research & Development @適着三維科技股份有限公司 TG3D Studio Inc.2021 ~ 現在
・
Software Engineer
1ヶ月以内
就職中
・
面接の用意ができています
フルタイム / リモートワークに興味あり
4〜6年
國立台灣大學
・
生物產業機電工程所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
1ヶ月以内
就職中
・
面接の用意ができています
フルタイム / リモートワークに興味あり
4〜6年
國立政治大學（National Chengchi University）
・
資訊科學系
OPC Chief Engineer @TSMC2020 ~ 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
1ヶ月以内
Chun-Jung Huang mortis.huang@gmail.comNational Chiao-Tung University, Ph.D. - Photonics,2015 ~ 2020 Member of The Phi Tau Phi Scholastic Honor Society of the Republic of China. Work Experience TSMC, OPC Chief Engineer (MarPresent) ◆Introduced image anomaly detection techniques to identify and address defects in photomask manufacturing, significantly improving product quality and reducing turnaround time. ◆Managed large-scale data processing tasks, demonstrating expertise in analyzing and handling datasets of hundreds of millions, to bolster model development and optimization. ◆Excelled in distributed computing, optimizing code execution across thousands of systems to
就職中
・
面接の用意ができています
フルタイム / リモートワークに興味あり
4〜6年
National Chiao-Tung University
・
Ph.D. - Clinical Engineering
Senior Software Development Engineer @奔騰網路2023 ~ 現在
・
資深後端工程師
1ヶ月以内
model to make the company’s private AI (Vector DB), or connecting to the API of public generative AI through prompt, or It uses golang and k8s api to create extensions, yaml or Terraform for automated deployment. 4. Use tensorflow's forests decision prediction to obtain some information, machine learning frameworks such as tensorflow and pytorch, and also use huggingface's lib to connect multiple models (self-study of basic AI or machine learning and other related knowledge), and also study google self attention model, etc. 5. Experience in using multiple clouds, and using Terrafrom to
就職中
・
就職希望
フルタイム / リモートワークに興味あり
4〜6年
臺灣國立空中大學
・
資訊管理學系
前端工程師 @Chimes AI, Inc.2022 ~ 現在
・
前端工程師
1ヶ月以内
存巨量資料並優化檔案搜尋速度，民眾可以查詢到即時資料。並將人工操作流程數位化，打造一站式管理資訊系統，再搭配 AI 機器學習，準確率達80%，減輕人工涉入程度。 (團隊開發專案，框架使用 Vue 2, 前台 符合無障礙空間； 搭配 Vuetify 開發後台； 前台專案
就職中
・
就職希望
フルタイム / リモートワークに興味あり
4〜6年
Chung Hua University (CHU) 中華大學
・
資管
Past
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
2ヶ月以内
王俊元(Jeffrey Wang) 產品經理健身房 | 音樂科技網 | Music Tech Alliance | wangefcn@gmail.com 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
無職
・
就職を希望していません
フルタイム / リモートワークに興味あり
4〜6年
東吳大學
・
國際貿易
程式設計師 @中國附醫2020 ~ 2021
・
軟體工程師
2ヶ月以内
習領域 發展 軟體工程師 e-mail: max761005@gmail.com kaggle:https://www.kaggle.com/suweigithub:https://github.com/suwei761005/DemoProject 個人網站:https://watsonimg.com 技能 AI/ML Python Scikit-learn Pandas Numpy Keras DNN、CNN(deep learning) web Html CSS Javascript Bootstrap JQuery Angularjs MSSQL ASP.NET MVC C# 版控 git svn 學歷 雲林科技大學, 學士學位, 電機工程, 2006/09
就学中
・
就職を希望していません
フルタイム / リモートワークに興味なし
6〜10年
雲林科技大學
・
電機工程
網站設計師 @安迪連網站設計工作室2018 ~ 現在
・
Web Designer
2ヶ月以内
設計 - 以網路合作問題導向學習為例 Developing a computer-mediated communication competence forecasting model based on learning behavior features 利用碩士兩年的時間，透過自學以及實驗室MIS Meeting研究 AI 人工智慧機器學習理論與實作方法，並以Google Analytics為基礎發展遠距學習監控模組，建立 AI 機器學習模型發展即時能力預測
就職中
・
就職を希望していません
フルタイム / リモートワークのみ
6〜10年
國立政治大學（National Chengchi University）
・
圖書資訊與檔案學研究所 碩士
AI, Machine Learning and Data Manager @IRT Saint Exupery2021 ~ 現在
・
Data Analyst、Data Scientist、AI Engineer、Project Manager
1ヶ月以内
Benjamin Deporte deporte.benjamin@gmail.comLinkedIn AI, Machine Learning and Data Officer Innovative AI/ML seasoned leader with strong mathematical background and hands-on knowledge of machine learning algorithms and best practices. Specialized in Cybersecurity, Healthcare and Aerospace. Demonstrated driving business value through 10+ years of experience within different businesses, in direct management or thought leadership roles. Leadership, networking, communication and language skills. Skills Expertise in Artificial Intelligence and Machine Learning Specialization in Cybersecurity, Healthcare and Aerospace. Leadership abilities, networking and communication skills Business acumen in multicultural, global organizations Work
就職中
フルタイム / リモートワークに興味あり
6〜10年
Télécom Paris
・
Cybersecurity就職中
・
就職を希望していません
フルタイム / リモートワークに興味あり
6〜10年
National Taiwan University
・
Quantum Computation and Information Science and Technology最も簡単で効果的な採用プラン
80万枚以上の履歴書を検索して、率先して求人応募者と連絡をとって採用効率を高めましょう。何百もの企業に選ばれています。
- 検索結果をすべて閲覧
- 新しい会話を無制限に始められます
- 有料企業にのみ履歴書を公開
- ユーザーのメールアドレスと電話番号を確認
検索のコツ
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
Definition of Reputation Credits
Technical Skills
Specialized knowledge and expertise within the profession (e.g. familiar with SEO and use of related tools).
Problem-Solving
Ability to identify, analyze, and prepare solutions to problems.
Adaptability
Ability to navigate unexpected situations; and keep up with shifting priorities, projects, clients, and technology.
Communication
Ability to convey information effectively and is willing to give and receive feedback.
Time Management
Ability to prioritize tasks based on importance; and have them completed within the assigned timeline.
Teamwork
Ability to work cooperatively, communicate effectively, and anticipate each other's demands, resulting in coordinated collective action.
Leadership
Ability to coach, guide, and inspire a team to achieve a shared goal or outcome effectively.
Professional Background
現在の状況
無職
求人検索の進捗
Professions
Software Engineer, Python Developer, Machine Learning Engineer
Fields of Employment
人工知能／機械学習, ソフトウェア, Information Services
職務経験
1年未満
Management
なし
スキル
言語
Job search preferences
希望のポジション
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
求人タイプ
フルタイム
希望の勤務地
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
リモートワーク
リモートワークに興味あり
Freelance
いいえ。
学歴
学校
國立台灣科技大學
専攻
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)