CakeResume 找人才
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
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
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
待业中
・
正在积极求职中
全职 / 对远端工作有兴趣
6 到 10 年
National Chengchi University
・
Innovation and Intellectual Property Management
Solutions Architect @BORN Group2022 ~ 现在
・
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
就职中
・
正在积极求职中
全职 / 对远端工作有兴趣
15 年以上
Darrick Wood Secondary School
・
A-Levels
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
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
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
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
待业中
・
正在积极求职中
全职 / 对远端工作有兴趣
4 到 6 年
台灣大學
・
大氣科學所
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
正在积极求职中
全职 / 对远端工作有兴趣
10 到 15 年
University of California, Los Angeles
・
M.B.A. (Marketing and Strategy)Staff Test integration Engineer @OmniVision Technologies, Inc.2022 ~ 现在
・
Staff software engineer
兩個月內
就职中
・
目前会考虑了解新的机会
全职 / 暂不考虑远端工作
6 到 10 年
NATIONAL CHENG KUNG UNIVERSITY
・
Computer Science and Information Engineering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
National Chung Cheng University
・
Computer Science & Information Engineering
Principal @Cascade Data Labs2016 ~ 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
就职中
・
目前会考虑了解新的机会
全职 / 对远端工作有兴趣
6 到 10 年
University of Pennsylvania
・
Economics
Team Lead @工業技術研究院2020 ~ 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
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...
就职中
・
目前会考虑了解新的机会
全职 / 对远端工作有兴趣
6 到 10 年
National Chung Cheng University
・
資訊工程學所最轻量、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
Python 开发人员, 机器学习工程师, C/C++ 开发人员
产业
人工智能 / 机器学习
工作年资
小於 1 年
管理经历
无
技能
语言能力
English
・
中阶
求职偏好
希望获得的职位
预期工作模式
全职
期望的工作地点
远端工作意愿
对远端工作有兴趣
接案服务
学历
学校
國立陽明交通大學
主修科系
AI碩士學位學程
Education
國立陽明交通大學, 碩士學位, 人工智慧技術與應用碩士學位學程 (電子所) 2021年9月 ~ 至今
- 已修習深度學習與實務, 機器學習, 應⽤電腦視覺, 演算法,計算機結構,最佳化理論與實務,影像處理,視訊串流與追蹤
- iVSLab智慧視覺系統設計實驗室 (指導教授: 郭峻因)
- 研究⽅向: semi-supervised Camera/Radar Sensor Fusion on Obejct detection Algorithm
- Wistron: Project: Early Fusion (concatenate the vision image and radar image first )
- MTK Project: Proposed Camera/Radar Sensor Fusion Method on semi-supervised learning for Object detection
- 暑期實習: 世界先進擔任影像演算法工程師
國立台北科技大學, 學士學位, 電機 2017年9月 ~ 2021年6月
- 畢業專題: Implement Hybrid Densely Connected U-Net for Liver and Tumor Auto Segmentation from CT Volumes
- 學期校外實習: Engineering intern ( Barco )
Research Projects
- Sensor Fusion
- MTK project
- 研發 Camera/Radar Fusion Method on semi-supervised learning for Object detection ( Hybrid Fusion )
- MTK project
- 研發 Camera/Radar Fusion Method on semi-supervised learning for Object detection ( Hybrid Fusion )
- Hybird fusion with radar/camera on Nvidia AGX Xavier
- By combining camera/radar inforamtion, the impact of the severe weather on the only camera is improved.
- 緯創嵌入式⼈⼯智慧研究中⼼計畫 -交通運輸⼈⼯智慧多元感知融合處理系統
- Deep Learning based Camera/Rader Sensor Fusion on RSU for Target Detection with Scaled-YOLOv4
- Hybird fusion with radar/camera on Nvidia AGX Xavier
- By combining camera/radar inforamtion, the impact of the severe weather on the only camera is improved.
- 緯創嵌入式⼈⼯智慧研究中⼼計畫 -交通運輸⼈⼯智慧多元感知融合處理系統
- Deep Learning based Camera/Rader Sensor Fusion on RSU for Target Detection with Scaled-YOLOv4
- AI Model
- Background: Optimization, Machine Learning, Deep Learning, Applied Computer vision,Image Processing,Video streaming and tracking
- Programming: Pytorch, TensorFlow2.0
- Platform: Xavier, Linux(Ubuntu)
- Model: YOLOv3, YOLOv4, Scaled-YOLOv4,YOLOX,YOLOv7
- Background: Optimization, Machine Learning, Deep Learning, Applied Computer vision,Image Processing,Video streaming and tracking
- Programming: Pytorch, TensorFlow2.0
- Platform: Xavier, Linux(Ubuntu)
- Model: YOLOv3, YOLOv4, Scaled-YOLOv4,YOLOX,YOLOv7
Skills
- Basic Skills
- Python ( AI model development, Image Processing,TensorRT)/shell script
- Git (source control)
- Course Project
- Video streaming and tracking(pytorch/javascript)
- Final Project: Live Streaming Server and perform tasks using deep learning model
- Python ( AI model development, Image Processing,TensorRT)/shell script
- Git (source control)
- Course Project
- Video streaming and tracking(pytorch/javascript)
- Final Project: Live Streaming Server and perform tasks using deep learning model
- Deep Learning and Practice (pytorch)
- LAB ( RNN, AutoEncoder, GAN)
- Final Project: YOLOF optimization
- Image Processing (C++ without opencv)
- LAB(Image Constrast Enhansement,White Balance, Image Restoration)
- Final Project: water body segmentation (tradition Method/Deep Learning )
- Machine Learning(python without library)
- LAB ( Gaussian Process for regression, Kmeans, SVM, Gaussian Mixture Model )
Education
國立陽明交通大學, 碩士學位, 人工智慧技術與應用碩士學位學程 (電子所) 2021年9月 ~ 至今
- 已修習深度學習與實務, 機器學習, 應⽤電腦視覺, 演算法,計算機結構,最佳化理論與實務,影像處理,視訊串流與追蹤
- iVSLab智慧視覺系統設計實驗室 (指導教授: 郭峻因)
- 研究⽅向: semi-supervised Camera/Radar Sensor Fusion on Obejct detection Algorithm
- Wistron: Project: Early Fusion (concatenate the vision image and radar image first )
- MTK Project: Proposed Camera/Radar Sensor Fusion Method on semi-supervised learning for Object detection
- 暑期實習: 世界先進擔任影像演算法工程師
國立台北科技大學, 學士學位, 電機 2017年9月 ~ 2021年6月
- 畢業專題: Implement Hybrid Densely Connected U-Net for Liver and Tumor Auto Segmentation from CT Volumes
- 學期校外實習: Engineering intern ( Barco )
Research Projects
- Sensor Fusion
- MTK project
- 研發 Camera/Radar Fusion Method on semi-supervised learning for Object detection ( Hybrid Fusion )
- MTK project
- 研發 Camera/Radar Fusion Method on semi-supervised learning for Object detection ( Hybrid Fusion )
- Hybird fusion with radar/camera on Nvidia AGX Xavier
- By combining camera/radar inforamtion, the impact of the severe weather on the only camera is improved.
- 緯創嵌入式⼈⼯智慧研究中⼼計畫 -交通運輸⼈⼯智慧多元感知融合處理系統
- Deep Learning based Camera/Rader Sensor Fusion on RSU for Target Detection with Scaled-YOLOv4
- Hybird fusion with radar/camera on Nvidia AGX Xavier
- By combining camera/radar inforamtion, the impact of the severe weather on the only camera is improved.
- 緯創嵌入式⼈⼯智慧研究中⼼計畫 -交通運輸⼈⼯智慧多元感知融合處理系統
- Deep Learning based Camera/Rader Sensor Fusion on RSU for Target Detection with Scaled-YOLOv4
- AI Model
- Background: Optimization, Machine Learning, Deep Learning, Applied Computer vision,Image Processing,Video streaming and tracking
- Programming: Pytorch, TensorFlow2.0
- Platform: Xavier, Linux(Ubuntu)
- Model: YOLOv3, YOLOv4, Scaled-YOLOv4,YOLOX,YOLOv7
- Background: Optimization, Machine Learning, Deep Learning, Applied Computer vision,Image Processing,Video streaming and tracking
- Programming: Pytorch, TensorFlow2.0
- Platform: Xavier, Linux(Ubuntu)
- Model: YOLOv3, YOLOv4, Scaled-YOLOv4,YOLOX,YOLOv7
Skills
- Basic Skills
- Python ( AI model development, Image Processing,TensorRT)/shell script
- Git (source control)
- Course Project
- Video streaming and tracking(pytorch/javascript)
- Final Project: Live Streaming Server and perform tasks using deep learning model
- Python ( AI model development, Image Processing,TensorRT)/shell script
- Git (source control)
- Course Project
- Video streaming and tracking(pytorch/javascript)
- Final Project: Live Streaming Server and perform tasks using deep learning model
- Deep Learning and Practice (pytorch)
- LAB ( RNN, AutoEncoder, GAN)
- Final Project: YOLOF optimization
- Image Processing (C++ without opencv)
- LAB(Image Constrast Enhansement,White Balance, Image Restoration)
- Final Project: water body segmentation (tradition Method/Deep Learning )
- Machine Learning(python without library)
- LAB ( Gaussian Process for regression, Kmeans, SVM, Gaussian Mixture Model )