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
曾任
Product Manager @Binance2022 ~ 2023
・
Front-end Engineer, Product Manager
一個月內
.com site Senior Product Management Specialist • CyberLink MarMarPlanned video editing Android & iOS App product strategy and features, increased product usage by 442% and revenue by 158% Designed photo editing Android & iOS product strategy and features, managed development schedule, and increased subscription user revenue by 34% Designed and planned AI image processing features and UI processes, helping product revenue grow by 26% and reducing subscription user churn rate by 10% Senior Product Specialist • BenQ SepMarPlanned and executed 4K projector product projects, achieving a sales target completion rate of 132%, helping Amazon US 4K market revenue grow by 178%, and profit
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
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Innovation and Intellectual Property Management
Web Engineer @BlendVision2023 ~ 現在
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Senior iOS Developer / Web Developer
一個月內
arrange the Slack notification to notify the members of the dev team. Streaming I possess video streaming technologies like HLS and DASH , along with an understanding of DRM solutions such as FairPlay , and PlayReady . I can implement DRM video playback for commercial needs and further enhance it with image processing techniques. Others I have hands-on experience with Raspberry Pi , Bluetooth technology, and web development. Passionate about creating diverse tech applications and providing professional solutions. 工作經歷 BlendVision (KKStream), SepNow Developing a Video Player Module which is applied on an app within the
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 Ilan University
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Bachelor degree
演算法工程師 @oToBrite 歐特明電子2018 ~ 現在
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演算法設計工程師、軟體工程師
一個月內
系，學士，2012 年 9 月年 6 月 學習科目 共修習155學分 基礎數學、圖論、演算法、信號與系統 技能 Skill Programming Good: C/C++ Python Moderate: Bash Java Basic: Rust Matlab CSS JSON Domain Knowledge Data structure & Algorithm Software design pattern Signal & Image processing Machine learning IDE/Editor Visual Studio Code Visual Studio PyCharm vim Version Control Git Git flow SVN Strengths Problem Solving Fast Learning Responsibility Communicative Detail Oriented Self-motivated Positive Flexible Creative Language Chinese English Japanese
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
台灣大學
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電信工程學研究所
就職中
全職 / 對遠端工作有興趣
6 到 10 年
龍花科技大學
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電子工程待業中
全職 / 我只想遠端工作
6 到 10 年
National University of Kaohsiung
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Computer Science and Information Engineering就職中
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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
逢甲大學
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Applied Mathematics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
就學中
求職階段
專業
Python 開發人員, 機器學習工程師, C/C++ 開發人員
產業
人工智慧 / 機器學習
工作年資
小於 1 年
管理經歷
無
技能
語言能力
English
・
中階
求職偏好
希望獲得的職位
預期工作模式
全職
期望的工作地點
遠端工作意願
對遠端工作有興趣
接案服務
學歷
學校
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 )