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Past
Product Manager @Binance2022 ~ 2023
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Front-end Engineer, Product Manager
Dans 1 mois
.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
Sans Emploi
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Prêt à l'interview
Temps plein / Intéressé par le travail à distance
6 à 10 ans
National Chengchi University
・
Innovation and Intellectual Property Management
Web Engineer @BlendVision2023 ~ Présent
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Senior iOS Developer / Web Developer
Dans 1 mois
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
Employé
・
Ouvert à de nouvelles opportunités
Temps plein / Intéressé par le travail à distance
4 à 6 ans
National Ilan University
・
Bachelor degree
演算法工程師 @oToBrite 歐特明電子2018 ~ Présent
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演算法設計工程師、軟體工程師
Dans 1 mois
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
Employé
・
Ouvert à de nouvelles opportunités
Temps plein / Intéressé par le travail à distance
4 à 6 ans
台灣大學
・
電信工程學研究所
Consultant - 資深 UI/UX 專員 @英屬維京群島商瑞嘉耐思科技有限公司台灣分公司2019 ~ Présent
・
UX Designer
Dans 1 mois
Employé
Temps plein / Intéressé par le travail à distance
6 à 10 ans
龍花科技大學
・
電子工程Past
網頁程式開發（後端） @Evision Solution2019 ~ 2021
・
Software Engineer
Dans 1 mois
Sans Emploi
Temps plein / Uniquement Travail à distance
6 à 10 ans
National University of Kaohsiung
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Computer Science and Information EngineeringSenior Data Scientist @PTI 力成科技2016 ~ Présent
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大數據分析,資料科學家,資料工程師,AI工程師
Dans 1 mois
Employé
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Ouvert à de nouvelles opportunités
Temps plein / Intéressé par le travail à distance
6 à 10 ans
逢甲大學
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Applied MathematicsLe Plan de Recrutement le Plus Efficace et Facile
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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
Statut Actuel
Étudiant
Progrès de la Recherche d'Emploi
Professions
Python Developer, Machine Learning Engineer, C,C++ Developer
Fields of Employment
Intelligence Artificielle / Machine Learning
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English
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Intéressé par le travail à distance
Freelance
Éducation
École
國立陽明交通大學
Spécialisation
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 )