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On
4-6 years
6-10 years
10-15 years
More than 15 years
Algorithm Research & Development @適着三維科技股份有限公司 TG3D Studio Inc.2021 ~ Present
・
Software Engineer
Within one month
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
Employed
・
Ready to interview
Full-time / Interested in working remotely
4-6 years
國立台灣大學
・
生物產業機電工程所
Past
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
Within one month
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
Unemployed
・
Ready to interview
Full-time / Interested in working remotely
4-6 years
台灣大學
・
大氣科學所
Senior Software Engineer @FIH Moblie LTD.2019 ~ Present
・
Android Developer
Within one month
宋立文 LiWenSung Software Engineer Experienced software engineer with a strong background in C/C++ development, specializing in MQTT applications using macchina.io and Mosquitto. Proven ability to independently learn and adapt to new technologies and take ownership of complex projects. Seeking opportunities to leverage my skills and expertise in a dynamic software development environment. Taoyuan(Nankan)，Taiwan [email protected] Programming Languages: C/C++ , Java Software Development: macchina.io, Mosquitto, Android BSP, Android Framework, Android App Development, OMA-DM Protocol . MQTT (Message Queuing Telemetry
Employed
・
Open to opportunities
Full-time / Interested in working remotely
4-6 years
National Chung Cheng University
・
Computer Science & Information Engineering
Team Lead @工業技術研究院2020 ~ Present
・
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
Within one month
Employed
・
Open to opportunities
Full-time / Interested in working remotely
6-10 years
National Chung Cheng University
・
資訊工程學所
Past
Senior Software Engineer @DOINT2021 ~ 2023
・
Software engineer, Image Processing engineer, Algorithm engineer
Within three months
Distancing Estimation (Lidar) Object Tracking Object Detection Automatic License Plate Recognition Optical Character Recognition (OCR) Multi-Camera Object Tracking (Image Stitching) Voice Keywords Detection Face Recognition Blur Detection People Counting Over the Wall Detection Automated Optical Inspection(AOI) Interactive Segmentation(for ROI) Web crawler Work Experience Senior Engineer(VicoreLogic) DecNow 1. Enhance the Image Signal Processor (ISP) algorithm, especially in 2D/3D noise reduction. Leverage cutting-edge techniques from both deep learning and image processing for a comprehensive improvement. 2. Tuning of parameters to achieve optimal image quality. Principle Engineer(Fi...
Unemployed
Full-time / Interested in working remotely
6-10 years
National Taiwan University
・
Communication Engineering
資深電控設計工程師 @台達電子工業股份有限公司2023 ~ Present
・
Software Engineer / Backend Engineer / Automation Engineer
Within one month
Weilun(Mac) 軟體工程師 Taipei, Taiwan 軟體工程師 / 自動化工程師 擅長使用C#、資料庫、TPC/IP、IO、ROBOT、AOI開發基於PC Based之自動化設備。 良好的跨部門合作與表達能力。 在快速迭代的產品開發週期中高效且準確的問題解決者。 工作經歷 資深軟體工程師 • 台達電子
Employed
・
Not open to opportunities
Full-time / Interested in working remotely
4-6 years
National Kaohsiung University of Science and Technology
・
System Integration and Control
Senior Software Engineer @NVIDIA2023 ~ Present
・
Software Developer
Within one month
張安邦 Experienced C++ programmer, AI/ML and HPC developer. https://clehaxze.tw/ Taipei，Taiwan [email protected] Work experience Senior Software Engineer - NVIDIA，2023/11 - NOW Develops graphics applications and high performance libraries in C++ and Python. C++ developer - Lumina Inc，2021//11 Native application team lead. Design high performance and high momentum architecture, integrating modern C++ technology into software stacks. Handling image processing pipelines, IPC communication, deployment to customer environment, etc.. Also introduces
Employed
・
Not open to opportunities
Full-time / Interested in working remotely
4-6 years
國立中山大學
・
CSE
Software engineer
More than one year
Kai-Kai Hsu Software Engineer • Taipei，TW • [email protected] •With 10+ years experience of image processing algorithm development, engaged in the developments of below software features : Filmora, PowerDirector, PhotoDirector, YouCam Perfect (App) and YouCam Makeup (App), mainly involved in the algorithm designings of image processing, computer vision, pattern recognition, machine learning(SVM, regression). Capable of performance tunning (Multithread, SIMD, NEON), cross-platform development, including Window, Mac, Unix, iOS, and Android systems. Skills Programming Development C++ (mainly) Objective C (elementary) iOS development Java, JNI (elementary) Android development Library OpenCV effekseer clapack
Employed
Full-time / Interested in working remotely
10-15 years
中央大學
・
資訊工程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 ~ Present
・
UX Designer
Within one month
Employed
Full-time / Interested in working remotely
6-10 years
龍花科技大學
・
電子工程Past
網頁程式開發（後端） @Evision Solution2019 ~ 2021
・
Software Engineer
Within one month
Unemployed
Full-time / Remote Only
6-10 years
National University of Kaohsiung
・
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Definition of Reputation Credits
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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.
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Professional Background
Current status
Studying
Job Search Progress
Professions
Python Developer, Machine Learning Engineer, C,C++ Developer
Fields of Employment
Artificial Intelligence / Machine Learning
Work experience
Less than 1 year
Management
None
Skills
Languages
English
・
Intermediate
Job search preferences
Positions
Job types
Full-time
Locations
Remote
Interested in working remotely
Freelance
Educations
School
國立陽明交通大學
Major
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 )