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
Avatar of Patrick Hsu.
Avatar of Patrick Hsu.
Algorithm Research & Development @適着三維科技股份有限公司 TG3D Studio Inc.
2021 ~ 現在
Software Engineer
一個月內
enabling accurate tracking and analysis of workout routines. Skeleton Detection Motion Classification Body AI: 3D Body Data Analysis Engage in a variety of AI side projects focused on leveraging 3D body data, encompassing tasks such as Body ID Recognition, Body Measurements Prediction, and Body Shape Classification. Mesh Data Processing Body Modulization: SMPL Project Engineer • Acer Inc. JanMay 2021 Working in research and development (RND), I provided demand analysis, conceived system architecture, and developed core technology in AI projects Medical AI: Cancer Cells Detection Designed an image preprocessing algorithm and conducted training and optimization for a cancer cell
Python
AI & Machine Learning
Image Processing
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
生物產業機電工程所
Avatar of the user.
Avatar of the user.
曾任
Product Manager @Binance
2022 ~ 2023
Front-end Engineer, Product Manager
一個月內
Product Management
Product Roadmap Planning
Data Analysis
待業中
正在積極求職中
全職 / 對遠端工作有興趣
6 到 10 年
National Chengchi University
Innovation and Intellectual Property Management
Avatar of Tim Barretto.
Avatar of Tim Barretto.
Solutions Architect @BORN Group
2022 ~ 現在
Solutions Architect
兩個月內
full CV click here BORN Group , Solutions Architect/Principal Engineer, Dec 2022 ~ Present Independently provided a response to a prospective clients Request for Proposal (RFP) from brief to proof of concept (POC) within two weeks, providing a new solution to manage a high-volume (2.5k/month) image processing through AI-driven categorisation using Python to train a YOLO v8 model combined with Chili Publish. Orchestrated a cross-functional five person team to create a versatile Marketing technology (MarTech) solution, incorporating OpenProject and Chili Publish frameworks, integrating a Next.js architecture with Material-UI components
Implementation
Communications
Collaboration
就職中
正在積極求職中
全職 / 對遠端工作有興趣
15 年以上
Darrick Wood Secondary School
A-Levels
Avatar of Chun-Jung Huang.
Avatar of Chun-Jung Huang.
OPC Chief Engineer @TSMC
2020 ~ 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
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 significantly improve processing speed and efficiency. ◆Developed sophisticated data visualization tools to distill complex datasets into actionable
Deep learning with TensorFlow
Translational Research
Clinical Research
就職中
正在積極求職中
全職 / 對遠端工作有興趣
4 到 6 年
National Chiao-Tung University
Ph.D. - Clinical Engineering
Avatar of 鄒適文.
Avatar of 鄒適文.
曾任
Lead Data Scientist / Senior Data Scientist @Vinnovation Network 維諾森資訊科技
2022 ~ 2023
資料科學家、資料科學工程師、機器學習工程師
一個月內
Shih-Wen Tsou - With more than 5 years of experience in Data Analysis, Machine Learning and Deep Learning, familiar with Modeling, Data Analysis, Image Processing, Machine Learning, and Deep Learning. Taipei City, Taiwan WORK EXPERIENCE Lead Data Scientist / Full Stack Data Scientist, Vinnovation Network, Taipei, Taiwan Data Engineering / Data Analysis Spearheaded the development of a fully automated data integration pipeline that aggregated diverse data sets into a S3 Data Lake. Successfully integrated a range of data sources, including real-time data feeds from AWS Redshift and DocumentDB, as well as batch processes to import traditional CSV
python
tensorflow
keras
待業中
正在積極求職中
全職 / 對遠端工作有興趣
4 到 6 年
台灣大學
大氣科學所
Avatar of Wayne Lin.
行銷經理/資深經理
一個月內
擔任產品開發、行銷、策略規劃與新事業開發 行銷經理/資深經理 Taipei,TW [email protected] Education UCLA ANDERSON SCHOOL OF MANAGEMENT M.B.A., Marketing & Strategy, June 2009 Honor: Anderson School Fellowship (merit-based scholarship for top MBA students) NATIONAL TAIWAN UNIVERSITY Taipei, Taiwan M.S. / B.S., Computer Science and Information Engineering, June 2000 / June 1998 Publication: Proceedings of 2001 IEEE-EURASIP Workshop on Nonlinear Signal and Image Processing
Marketing
Business Development
Strategy Development
正在積極求職中
全職 / 對遠端工作有興趣
10 到 15 年
University of California, Los Angeles
M.B.A. (Marketing and Strategy)
Avatar of the user.
Avatar of the user.
Staff Test integration Engineer @OmniVision Technologies, Inc.
2022 ~ 現在
Staff software engineer
兩個月內
C++
WPF
C#
就職中
目前會考慮了解新的機會
全職 / 暫不考慮遠端工作
6 到 10 年
NATIONAL CHENG KUNG UNIVERSITY
Computer Science and Information Engineering
Avatar of the user.
Avatar of the user.
Senior Software Engineer @FIH Moblie LTD.
2019 ~ 現在
Android Developer
一個月內
C
C++
Optical Character Recognition
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 Chung Cheng University
Computer Science & Information Engineering
Avatar of Emily Ledoux.
Avatar of Emily Ledoux.
Principal @Cascade Data Labs
2016 ~ 2022
Director Data
兩個月內
in/emily-ledoux/ Work Experience JanuaryPresent Principal Data Architect Kin + Carta Delivery or Client Lead for over 25 resources, including direct reports, delivery oversight, hours tracking, QBRs, onboarding management, budget ownership and related responsibilities. Cloud Architect, designing Azure and AWS-based infrastructure patterns across ingestion, storage, processing, and reporting layers Trusted leader across sales, recruiting, contract negotiations, delivery, and team leadership pillars Expert on data visualization and analysis best practices and building targeted data aggregates to simplify these processes JulyJanuary 2022 Principal Cascade Data Labs Designed and built end-to-end data pipelines, analysis tools, ML
PowerPoint
Word
Excel
就職中
目前會考慮了解新的機會
全職 / 對遠端工作有興趣
6 到 10 年
University of Pennsylvania
Economics
Avatar of Yi Ling.
Avatar of Yi Ling.
Team Lead @工業技術研究院
2020 ~ 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
料庫程式開發 解決系統異常issue JulJun 2015 學歷 國立中正大學 碩士, 資訊工程所 Deep Learning | Machine Learning | Image processing 畢業論文 • 應用自動學習的深度相關性特徵於影像風格分類 平台工具: Matlab, Python, Keras, Tensorflow, OpenCV, Flask 論文發表: Image Style Classification based on Learnt Deep Correlation Features, IEEE Transactions on Multimedia ,Deep Correlation Features for Image Style Classification, ACM In...
C++
Python
Deep Learning
就職中
目前會考慮了解新的機會
全職 / 對遠端工作有興趣
6 到 10 年
National Chung Cheng University
資訊工程學所

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搜尋技巧
1
嘗試搜尋最精準的關鍵字組合
資深 後端 php laravel
如果結果不夠多,再逐一刪除較不重要的關鍵字
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
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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。
三個月內
Graduate student @ NTU
Logo of AUO.
AUO
2022 ~ 2022
Taipei, Taiwan
專業背景
目前狀態
就學中
求職階段
正在積極求職中
專業
軟體工程師
產業
軟體
工作年資
小於 1 年
管理經歷
技能
Deep Learning
Backend Development
Image Processing
Data Analysis
Git
Python
Flutter
C++
HTML
CSS
語言能力
English
母語或雙語
Indonesian
母語或雙語
Chinese
中階
求職偏好
希望獲得的職位
Software Engineer / Backend Engineer
預期工作模式
全職
期望的工作地點
Tainan, Taiwan, Hsinchu, Hsinchu City, Taiwan, Taipei, 台灣
遠端工作意願
對遠端工作有興趣
接案服務
是,我目前是全職接案者
學歷
學校
National Taiwan University
主修科系
Computer Science
列印

Benedictus Kent Chandra

  Taipei City, Taiwan      

Work Experience

Data Scientist Intern  •  AU Optronics

July 2022 - Sept 2022

Research Assistant  •  NCKU CSIE

Mar 2022 - June 2022

• Achieved 95% accuracy in machine defect detection by training YOLOv5 and 93% on the SOTA YOLOv7 model.

• Implement alarm system to notify engineers when defects are detected with Python.

• Designed and developed user-friendly UI using PyQt5 to streamline label generation and model retraining, empowering non-technical users to accomplish these task with ease and efficiency.


• Utilized Python and various data analysis tools (NumPy, Pandas, Matplotlib) to implement standardized approach to bounding box labels, contributing to improved model performance.

• Leveraged YOLOv5 with accuracy of up to 90% accuracy, consistently delivering reliable results.

• Develop dataset auto-labeling pipeline using Python and trained YOLOv5 to increase labeled dataset.


Education

National Taiwan University  •  M.S., Computer Science

Sept 2022 - Aug 2024

• Focus on SLAM & monocular 3D scene reconstruction research to improve model performance and/or reduce computational cost and develop AR application system pipeline with Unity for tele-meeting scenario.

• Related coursework: Intro to Fintech, Game Programming, Robotics, Artificial Intelligence, Advanced Computer Vision

• Average GPA: 4.0/4.3

National Cheng Kung University •  B.S., Computer Science 

Sept 2018 - July 2022

• NCKU x Bank Sinopac Scholarship and Encouragement Student Aid (Jan. 2021)

• Related coursework: Data Structure, Algorithms, Operating Systems, Computer Vision, Deep Learning

• Average GPA: 3.0 / 4.3

Projects


Automated Trading System / Experiment (Alpaca)

[In Progress]

• Developed an automated Python trading system with FastAPI as the backend.

• Analyzed daily profit/loss data and automated comparisons with NASDAQ.

• Employed MongoDB to store profit/loss data efficiently.

• Ongoing work: Developed a web interface to visualize profit/loss charts using HTML, CSS, and JavaScript (Chart.js).

• Ongoing work: Exploring machine learning models for stock price predictions

Blogging Content Generator with LLM

• Leveraged the cutting-edge Langchain framework to interface with GPT-3.5-turbo LLM API.

• Designed a user input pipeline system, capable of generating extensive 1500-word blog content.

• Improved pipeline efficiency by 40%, reducing inference time from 5 to 3 minutes.

• Enhance content accuracy and reduce LLM hallucination with Google SERP data scraping.

• Employed Flask framework for efficient API communication.

• Applied prompt engineering to optimize LLM output.

Weight Tracker

• Designed a weight tracking website using HTML, CSS, and JavaScript.

• Utilized Chart.js to create visually stunning weight charts.

• Developed a Node.js backend for data transmission.

• Stored and managed weight data efficiently in MySQL.

Traditional Chinese Medicine Analyzer

Developed a mobile app for image capture and content browsing using Flutter.

• Achieved 93% accuracy in traditional Chinese medicine detection using YOLOv5.

• Employed FastAPI to interact with a custom-trained YOLOv5 model hosted on a server.

Electricity Operating Reserve Forecasting

• Employed data analysis tools (NumPy, Pandas, Matplotlib) to analyze data seasonality.

• Utilized ADF and KPSS tests to assess data stationarity.

• Conducted model comparison to identify the most effective machine learning approach.

Garbage Classification

• Captured 1200+ images across 5 garbage classes.

• Achieved 92% accuracy in garbage classification with MobileNetV2.

• Achieved 95% accuracy in garbage classification with custom ResNet50.

• Created a Flask-based backend server for image inferencing.

Skills

Programming Languages


  • Python
  • C / C++ / C#
  • HTML / CSS / Javascript
  • Flutter / Dart
  • Java

Software Tools


  • Keras / TensorFlow / PyTorch
  • Roboflow / LabelImg
  • Numpy / Pandas / Scikit-Learn
  • OpenCV
  • MongoDB / MySQL / SQLite
  • Flask / FastAPI / Node.js

Language


  • English (IELTS: 7.0)
  • Chinese
  • Indonesian
履歷
個人檔案

Benedictus Kent Chandra

  Taipei City, Taiwan      

Work Experience

Data Scientist Intern  •  AU Optronics

July 2022 - Sept 2022

Research Assistant  •  NCKU CSIE

Mar 2022 - June 2022

• Achieved 95% accuracy in machine defect detection by training YOLOv5 and 93% on the SOTA YOLOv7 model.

• Implement alarm system to notify engineers when defects are detected with Python.

• Designed and developed user-friendly UI using PyQt5 to streamline label generation and model retraining, empowering non-technical users to accomplish these task with ease and efficiency.


• Utilized Python and various data analysis tools (NumPy, Pandas, Matplotlib) to implement standardized approach to bounding box labels, contributing to improved model performance.

• Leveraged YOLOv5 with accuracy of up to 90% accuracy, consistently delivering reliable results.

• Develop dataset auto-labeling pipeline using Python and trained YOLOv5 to increase labeled dataset.


Education

National Taiwan University  •  M.S., Computer Science

Sept 2022 - Aug 2024

• Focus on SLAM & monocular 3D scene reconstruction research to improve model performance and/or reduce computational cost and develop AR application system pipeline with Unity for tele-meeting scenario.

• Related coursework: Intro to Fintech, Game Programming, Robotics, Artificial Intelligence, Advanced Computer Vision

• Average GPA: 4.0/4.3

National Cheng Kung University •  B.S., Computer Science 

Sept 2018 - July 2022

• NCKU x Bank Sinopac Scholarship and Encouragement Student Aid (Jan. 2021)

• Related coursework: Data Structure, Algorithms, Operating Systems, Computer Vision, Deep Learning

• Average GPA: 3.0 / 4.3

Projects


Automated Trading System / Experiment (Alpaca)

[In Progress]

• Developed an automated Python trading system with FastAPI as the backend.

• Analyzed daily profit/loss data and automated comparisons with NASDAQ.

• Employed MongoDB to store profit/loss data efficiently.

• Ongoing work: Developed a web interface to visualize profit/loss charts using HTML, CSS, and JavaScript (Chart.js).

• Ongoing work: Exploring machine learning models for stock price predictions

Blogging Content Generator with LLM

• Leveraged the cutting-edge Langchain framework to interface with GPT-3.5-turbo LLM API.

• Designed a user input pipeline system, capable of generating extensive 1500-word blog content.

• Improved pipeline efficiency by 40%, reducing inference time from 5 to 3 minutes.

• Enhance content accuracy and reduce LLM hallucination with Google SERP data scraping.

• Employed Flask framework for efficient API communication.

• Applied prompt engineering to optimize LLM output.

Weight Tracker

• Designed a weight tracking website using HTML, CSS, and JavaScript.

• Utilized Chart.js to create visually stunning weight charts.

• Developed a Node.js backend for data transmission.

• Stored and managed weight data efficiently in MySQL.

Traditional Chinese Medicine Analyzer

Developed a mobile app for image capture and content browsing using Flutter.

• Achieved 93% accuracy in traditional Chinese medicine detection using YOLOv5.

• Employed FastAPI to interact with a custom-trained YOLOv5 model hosted on a server.

Electricity Operating Reserve Forecasting

• Employed data analysis tools (NumPy, Pandas, Matplotlib) to analyze data seasonality.

• Utilized ADF and KPSS tests to assess data stationarity.

• Conducted model comparison to identify the most effective machine learning approach.

Garbage Classification

• Captured 1200+ images across 5 garbage classes.

• Achieved 92% accuracy in garbage classification with MobileNetV2.

• Achieved 95% accuracy in garbage classification with custom ResNet50.

• Created a Flask-based backend server for image inferencing.

Skills

Programming Languages


  • Python
  • C / C++ / C#
  • HTML / CSS / Javascript
  • Flutter / Dart
  • Java

Software Tools


  • Keras / TensorFlow / PyTorch
  • Roboflow / LabelImg
  • Numpy / Pandas / Scikit-Learn
  • OpenCV
  • MongoDB / MySQL / SQLite
  • Flask / FastAPI / Node.js

Language


  • English (IELTS: 7.0)
  • Chinese
  • Indonesian