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进阶搜寻
On
4 到 6 年
6 到 10 年
10 到 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 ~ 现在
・
Software Engineer
一個月內
level with a size error margin of less than 3 cm. Computer Vision Body Reconstruction Stable Diffusion DApp: Exercise Classification Implemented real-time activity recognition for specified exercises, including but not limited to push-ups and squats, 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
就职中
・
正在积极求职中
全职 / 对远端工作有兴趣
4 到 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
一個月內
就职中
・
正在积极求职中
全职 / 对远端工作有兴趣
4 到 6 年
國立政治大學（National Chengchi University）
・
資訊科學系就职中
・
正在积极求职中
全职 / 对远端工作有兴趣
4 到 6 年
國立中央大學 National Central University
・
網路學習科技研究所
OPC Chief Engineer @TSMC2020 ~ 现在
・
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
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 insights, aiding strategic decision-making. The University of Tokyo, Foreign Researcher (OctSep◆Pioneered a neural network-based approach for cell image classification and data visualization, enhancing lab capabilities in biological research. ◆Designed a user-friendly GUI for neural network model training, democratizing access to advanced computational tools for non-programmers. Education National Chiao-Tung University, Ph.D. - Photonics, 2015 ~ 2020 Development of Intelligent Wearable Near Infrared Spectroscopy
就职中
・
正在积极求职中
全职 / 对远端工作有兴趣
4 到 6 年
National Chiao-Tung University
・
Ph.D. - Clinical Engineering
曾任
Electrical Section Head @Sayyed Engineers Limited2014 ~ 2016
・
Electrical and Electronics Engineer
三個月內
based Project using SIMATIC SSignal conditioning of data received from the Aircraft Engine MFI-17 Super Mushshak Part Task Trainer (Simulator) Team lead of the Hardware installation and interfacing with soft instruments Using National Instruments NI-Daq 6343 Hardware designing of Trim Panel using Arduino Uno Foreign Object Debris Detection, Classification, and Localization using Deep Learning Python language based Project using YOLO-V7 (you only look once) Addressed the Class imbalance in FOD-A Dataset FOD detection/localization with improved accuracy Data Acquisition design and implementation of a Level-D Simulator (C130-H) NI-PXI Chassis-based DATA ACQUISITION
待业中
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正在积极求职中
全职 / 对远端工作有兴趣
6 到 10 年
University of Central Punjab
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Electrical and Power Transmission Installation/Installer, General就职中
・
目前会考虑了解新的机会
全职 / 对远端工作有兴趣
4 到 6 年
國立高雄科技大學 National Kaohsiung University of Science and Technology
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電腦與通訊工程系
IT Analyst @TCS2019 ~ 现在
・
Sr.Software & System Engineer
一個月內
DLs in Exchange Online. 9.Working with External auditors on joiners, leaver and movers. 10.Working with O365 license assignments and removal for user accounts. Associate System Engineer • Wipro Technologies MarchMarchWas involved in build activities for AI based Autonomous Vehicle Project. 2. Prepare, process, analyze & finalize Lidar data. 3. Perform QA on Images processed by LiDAR. 4. Perform classification from processed LIDAR data. Education East Point College Of Engineering And Technology Mechanical EngineeringSkills M 365 Azure AD Exchange Online Active Directory PowerShell GIS Languages Hindi — Fluent English — Fluent
就职中
・
目前会考虑了解新的机会
全职 / 我只想远端工作
6 到 10 年
East Point College Of Engineering And Technology
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Mechanical Engineering
Research & Development Engineer @三竹資訊股份有限公司2023 ~ 现在
・
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
and deployed it to the environment. Major Product and Project Experience AI training platform backend development with Label Studio/DVC/MLflow Developed training templates. AI-SaaS Implemented NLU tasks using BERT-based models to provide functions such as named entity recognition, entity relation extraction, and article classification . Implemented NLG tasks using T5 to provide article summarization functionality. NetProbe - DPI Use 1D-CNN and MLP models for encrypted network traffic identification . Use the Autoencoder model for unknown packet detection . Taiwan Ministry of the Interior Investigation Bureau Police Station - AI Crime Investigation Trace Analysis
就职中
・
目前会考虑了解新的机会
全职 / 暂不考虑远端工作
4 到 6 年
國立中央大學 National Central University
・
資訊工程
Data science lecturer @Ittraining2020 ~ 现在
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Data Scientist 資料科學家_數據分析師
一個月內
氣道擴散偵測競賽 I：運用物體偵測作法於找尋STAS, 2022/06/02 - Bronze medal (team): (Kaggle) VinBigData Chest X-ray Abnormalities Detection: Automatically localize and classify thoracic abnormalities from chest radiographs, 2021/03/30 Classification (影像分類): - Bronze medal (solo): (Kaggle) Human Protein Atlas - Single Cell Classification: Find individual human cell differences in microscope images, 2021/05/12 - 5th place (team): (Aidea AI CUP) Mango grade classification, 2020/12/29. https://reurl.cc/
就职中
・
目前会考虑了解新的机会
兼职 / 对远端工作有兴趣
15 年以上
Purdue University
・
School of civil engineering (Stochastic & statistical hydrology)
Product Manager @Linker Vision2023 ~ 现在
・
PM/產品經理/專案管理
一個月內
detection, segmentation, and classification AI scenario. Good communication skills with doctors' demands and collaboration with colleagues. Patent Disclosure: Ultrasound detect and notify system. (serial number: I學歷 SepJun 2 National Taiwan University of Science and Technology Masters in Electrical Engineering Thesis "Online Data Stream Analytics for Dynamic Environments Using Self-Regularized Learning Framework", IEEE journal SepJun 2020 Yuan Ze University Bachelor in Electrical Engineering Skills Customer/VC negotiation and customer services DL/ML/AI algorithm, keen problem solving 3D modeling (Blender) Python, Matlab, Tensorflow, Keras Object detection, Classification, [email protected]
就职中
・
目前会考虑了解新的机会
全职 / 对远端工作有兴趣
4 到 6 年
國立台灣科技大學 National Taiwan University of Science and Technology
・
電機工程最轻量、快速的招募方案，数百家企业的选择
搜寻简历，主动联系求职者，提升招募效率。
- 浏览所有搜寻结果
- 每日可无限次数开启陌生对话
- 搜尋僅開放付費企業檢視的简历
- 检视使用者信箱 & 电话
搜寻技巧
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
职场能力评价定义
专业技能
该领域中具备哪些专业能力（例如熟悉 SEO 操作，且会使用相关工具）。
问题解决能力
能洞察、分析问题，并拟定方案有效解决问题。
变通能力
遇到突发事件能冷静应对，并随时调整专案、客户、技术的相对优先序。
沟通能力
有效传达个人想法，且愿意倾听他人意见并给予反馈。
时间管理能力
了解工作项目的优先顺序，有效运用时间，准时完成工作内容。
团队合作能力
具有向心力与团队责任感，愿意倾听他人意见并主动沟通协调。
领导力
专注于团队发展，有效引领团队采取行动，达成共同目标。
专业背景
目前状态
就学中
求职阶段
专业
数据科学家
产业
软件
工作年资
小於 1 年
管理经历
技能
语言能力
Chinese
・
母语或双语
English
・
进阶
求职偏好
希望获得的职位
軟體工程師
预期工作模式
Intern
期望的工作地点
台灣台北, 台灣新竹, 台灣新北, 台灣桃園, 台灣台中, 美國佐治亞亞特蘭大, 美國德克薩斯奧斯丁, 美國加利福尼亞舊金山, 美國加利福尼亞洛杉磯, 美國紐約, 美國華盛頓西雅圖, 美國加利福尼亞聖地牙哥
远端工作意愿
对远端工作有兴趣
接案服务
否
学历
学校
Georgia Institute of Technology
主修科系
Computer Science
陳聖恩 Shen-En Chen (Andrew Chen)
Hsinchu, Hsinchu City, Taiwan https://achen353.github.io/
EDUCATION
Georgia Institute of Technology | Atlanta, GA
- B.S. in Computer Science (Threads: Intelligence & Info Internetworking), GPA 3.96 August 2018 – May 2021
- M.S. in Computer Science (Specialization: Machine Learning; BSMS program) August 2021 – May 2022
SKILLS
- Programming/Markup Languages: Python, Java C++, C, HTML, CSS, JavaScript, LaTeX
- Library & Frameworks: Numpy, Scipy, Pandas, scikit-learn, Tensorflow/Keras, PyTorch, OpenCV, React.js, Dash
- Relevant Courses: Object-Oriented Design, Data Structures, Probability & Statistics, Algorithms, Database Systems, Computer Networking I, Computer Vision, Natural Language Processing, Machine Learning
EXPERIENCE
Medical Informatic Research and Genetic Elucidation Lab, National Taiwan University | Taiwan
Summer Intern May 2019 – August 2019
- Built a facial recognition program using OpenCV and convolutional neural networks (CNNs).
- Designed a machine learning classification model for 5 common lung tumor types using ensemble one-vs-one support vector machine (SVM) classifier.
- Applied 3D residual convolutional neural networks, using Keras and scikit-learn, on augmented Lung Image Database Consortium image collection (LIDC-IDRI) to classify benign and malignant lung tumors and achieved an accuracy, sensitivity, and specificity of 97.23%, 95.54%, and 98.12%, respectively.
PROJECTS
Taiwanese Traffic Object Detection | Taiwan December 2020 – January 2021
Trained and fine-tuned Darknet YOLOv4 Tiny model on a custom object detection dataset for Taiwanese traffic.
- Explored the capability of Darknet YOLOv4 Tiny by training and fine-tuning the model at different resolutions, learning rates, and momentum to build an object detection system specifically for Taiwanese traffic.
- Achieved an 87.5% [email protected] at about 18 to 23 average FPS with Nvidia Tesla P100 GPU.
Proper Mask Wearing Detection and Alarm System | Taiwan December 2020 – January 2021
A face mask detector that can detect whether an individual wears a mask and if the mask is worn properly.
- Performed transfer learning on MobileNet V2 using Tensorflow/Keras, OpenCV, and Google Cloud Compute Engine.
- Designed and deployed a real-time detection app for the mask detection model using Dash framework.
ITS-Chatbot v2 (Generative Model) | Atlanta, GA August 2020 – December 2020
Continuation of the ITS-Chatbot project using a transformer-based model.
- Implemented a test script that evaluates the model on Piazza questions using Exact Match and F1 scores as metrics.
- Improved generated-answer selection with softmax confidence score calculation and thresholding.
- Incorporated and tested a BERT QA model on existing chatbot architecture using the ktrain Python library.
- Overhauled the model in a more object-oriented fashion that eased the subsequent implementation of the transformer-based document retriever.
ITS-Chatbot | Atlanta, GA January 2020 – May 2020
A chatbot add-on that aims to support digital dialogs between students and all resources available for a course.
- Built a data preprocessing pipeline for Piazza posts and comments using Spacy, NLTK and other Python libraries.
- Integrated the data preprocessing pipeline with the document embedding script and chatbot interface.
LEADERSHIP
Data Science at Georgia Tech (DSGT, or Data Science at GT) | Atlanta, GA October 2018 – April 2020
Content Creator (January 2019 – April 2020)
- Incorporated Jupyter Notebook with presentations to build interactive data science workshops for more than 80 DSGT members on topics such as Support Vector Machine, Ensemble Methods, and Intro to Deep Learning.
- Planned, with other organizing members, Hacklytics 2020 datathon and presented a workshop to over 50 students.
陳聖恩 Shen-En Chen (Andrew Chen)
Hsinchu, Hsinchu City, Taiwan https://achen353.github.io/
EDUCATION
Georgia Institute of Technology | Atlanta, GA
- B.S. in Computer Science (Threads: Intelligence & Info Internetworking), GPA 3.96 August 2018 – May 2021
- M.S. in Computer Science (Specialization: Machine Learning; BSMS program) August 2021 – May 2022
SKILLS
- Programming/Markup Languages: Python, Java C++, C, HTML, CSS, JavaScript, LaTeX
- Library & Frameworks: Numpy, Scipy, Pandas, scikit-learn, Tensorflow/Keras, PyTorch, OpenCV, React.js, Dash
- Relevant Courses: Object-Oriented Design, Data Structures, Probability & Statistics, Algorithms, Database Systems, Computer Networking I, Computer Vision, Natural Language Processing, Machine Learning
EXPERIENCE
Medical Informatic Research and Genetic Elucidation Lab, National Taiwan University | Taiwan
Summer Intern May 2019 – August 2019
- Built a facial recognition program using OpenCV and convolutional neural networks (CNNs).
- Designed a machine learning classification model for 5 common lung tumor types using ensemble one-vs-one support vector machine (SVM) classifier.
- Applied 3D residual convolutional neural networks, using Keras and scikit-learn, on augmented Lung Image Database Consortium image collection (LIDC-IDRI) to classify benign and malignant lung tumors and achieved an accuracy, sensitivity, and specificity of 97.23%, 95.54%, and 98.12%, respectively.
PROJECTS
Taiwanese Traffic Object Detection | Taiwan December 2020 – January 2021
Trained and fine-tuned Darknet YOLOv4 Tiny model on a custom object detection dataset for Taiwanese traffic.
- Explored the capability of Darknet YOLOv4 Tiny by training and fine-tuning the model at different resolutions, learning rates, and momentum to build an object detection system specifically for Taiwanese traffic.
- Achieved an 87.5% [email protected] at about 18 to 23 average FPS with Nvidia Tesla P100 GPU.
Proper Mask Wearing Detection and Alarm System | Taiwan December 2020 – January 2021
A face mask detector that can detect whether an individual wears a mask and if the mask is worn properly.
- Performed transfer learning on MobileNet V2 using Tensorflow/Keras, OpenCV, and Google Cloud Compute Engine.
- Designed and deployed a real-time detection app for the mask detection model using Dash framework.
ITS-Chatbot v2 (Generative Model) | Atlanta, GA August 2020 – December 2020
Continuation of the ITS-Chatbot project using a transformer-based model.
- Implemented a test script that evaluates the model on Piazza questions using Exact Match and F1 scores as metrics.
- Improved generated-answer selection with softmax confidence score calculation and thresholding.
- Incorporated and tested a BERT QA model on existing chatbot architecture using the ktrain Python library.
- Overhauled the model in a more object-oriented fashion that eased the subsequent implementation of the transformer-based document retriever.
ITS-Chatbot | Atlanta, GA January 2020 – May 2020
A chatbot add-on that aims to support digital dialogs between students and all resources available for a course.
- Built a data preprocessing pipeline for Piazza posts and comments using Spacy, NLTK and other Python libraries.
- Integrated the data preprocessing pipeline with the document embedding script and chatbot interface.
LEADERSHIP
Data Science at Georgia Tech (DSGT, or Data Science at GT) | Atlanta, GA October 2018 – April 2020
Content Creator (January 2019 – April 2020)
- Incorporated Jupyter Notebook with presentations to build interactive data science workshops for more than 80 DSGT members on topics such as Support Vector Machine, Ensemble Methods, and Intro to Deep Learning.
- Planned, with other organizing members, Hacklytics 2020 datathon and presented a workshop to over 50 students.