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4-6 tahun
6-10 tahun
10-15 tahun
Lebih dari 15 tahun
Past
Product Manager @Binance2022 ~ 2023
・
Front-end Engineer, Product Manager
Dalam satu bulan
Tidak bekerja
・
Siap untuk wawancara
Full-time / Tertarik bekerja jarak jauh
6-10 tahun
National Chengchi University
・
Innovation and Intellectual Property Management
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
Dalam satu bulan
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
Tidak bekerja
・
Siap untuk wawancara
Full-time / Tertarik bekerja jarak jauh
4-6 tahun
台灣大學
・
大氣科學所Web Engineer @BlendVision2023 ~ Sekarang
・
Senior iOS Developer / Web Developer
Dalam satu bulan
Sudah bekerja
・
Terbuka untuk peluang
Full-time / Tertarik bekerja jarak jauh
4-6 tahun
National Ilan University
・
Bachelor degree
演算法工程師 @oToBrite 歐特明電子2018 ~ Sekarang
・
演算法設計工程師、軟體工程師
Dalam satu bulan
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
Sudah bekerja
・
Terbuka untuk peluang
Full-time / Tertarik bekerja jarak jauh
4-6 tahun
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 ~ Sekarang
・
UX Designer
Dalam satu bulan
home appliances. 4、Linkage of machine and mobile phone. 5、Draw product character illustrations and plan the layout of the Tokyo Game Show in Japan Dongwaton Biotech Co., Ltd 2014 /6 ~ 2015/7 ▪ Special Assistant - Marketing Planning Supervisor -Online shopping: product marketing, product listing, image processing, APP. 1. Dongsen, VIVA, PCHOME, United Daily News, Songguo Shopping, 91APP, shopline, facebook, etc., carry out product listings and create product-related information. 2、 Understand the commission of each online platform, and discuss product activities with the business. 3、 Create graphics and banners
Sudah bekerja
Full-time / Tertarik bekerja jarak jauh
6-10 tahun
龍花科技大學
・
電子工程
Past
網頁程式開發（後端） @Evision Solution2019 ~ 2021
・
Software Engineer
Dalam satu bulan
as expected, CI/CD still have some benefit on code quality. We can not really benefit from CI/CD, because we still have some work not yet finished: database migration, test coverage...etc. Papyless Co.,Ltd, Software Engineer , Mar 2018 ~ SepDevelop some image transform toolkit. - Develop a brand new item manage systemTechnicsProgram Language: PHP, Node JS Database: MySql, Reddis Framework: Laravel Version Control: GitDescThe most I've done is to improve efficiency of back-end system. To do that we imported reddis cluster and upgraded some image processing tools via
Tidak bekerja
Full-time / Hanya bekerja jarak jauh
6-10 tahun
National University of Kaohsiung
・
Computer Science and Information Engineering
Senior Data Scientist @PTI 力成科技2016 ~ Sekarang
・
大數據分析,資料科學家,資料工程師,AI工程師
Dalam satu bulan
manual analysis processes. In the meantime, i have experience on In-house user training too. iv. ETL for Tableau. I write python script on pyspark to summary daily output, machine error code, quality checking data, and pass it to Tableau for visualization. v. Unscheduled AI and statistical education and training for production line person and engineers. 學歷 SepJun 2012 逢甲大學 Applied Mathematics - Master degree 技能 Data Augmentation for Rare Defect Images Signal Processing & Recognition Administrator for Engineering Data Analysis System ETL by python 語言 English — 中階
Sudah bekerja
・
Terbuka untuk peluang
Full-time / Tertarik bekerja jarak jauh
6-10 tahun
逢甲大學
・
Applied Mathematics
經理 @鴻博資訊有限公司2015 ~ Sekarang
・
軟體工程師、電玩程式設計師、後端工程師、APP開發工程師、演算法開發工程師
Dalam satu bulan
machine learning that I have researched and become familiar with over the past year: Numpy (Numerical Computing Library) : Numpy is one of the core libraries for numerical computing in Python. It provides powerful mathematical functions and array operations, capable of handling multidimensional arrays and matrix operations. In data processing and analysis, Numpy is an indispensable tool for efficiently handling large amounts of data. Pandas (Data Analysis Library) : Pandas is an important library in Python for data analysis and data processing. It offers powerful data structures such as DataFrame and Series, making data reading, manipulation, and analysis
Sudah bekerja
・
Siap untuk wawancara
Full-time / Hanya bekerja jarak jauh
10-15 tahun
崑工科技大學
・
電子工程
Past
資訊工程師 @六點資訊科技有限公司2023 ~ 2024
・
軟體工程師
Dalam satu bulan
Sean Wang Hello, I'm Sean. With over 9 years of extensive experience in software development, I excel in employing divergent thinking to address abstract client requirements and tackle various implementation challenges within systems. I specialize in integrating diverse user contexts and crafting solutions based on available resources. I enjoy analyzing the essence of things through multidimensional observation. New Taipei City, [email protected] Academic qualifications 2008//06 Chihlee University of Technology Information management Bachelor's graduation 2005//06 Ger Jyh Senior High School Data Processing Department Vocational
Tidak bekerja
・
Siap untuk wawancara
Full-time / Tertarik bekerja jarak jauh
6-10 tahun
致理科技大學 Chihlee University of Technology
・
Information ManagementData science lecturer @Ittraining2020 ~ Sekarang
・
Data Scientist 資料科學家_數據分析師
Dalam satu bulan
Sudah bekerja
・
Terbuka untuk peluang
Paruh waktu / Tertarik bekerja jarak jauh
Lebih dari 15 tahun
Purdue University
・
School of civil engineering (Stochastic & statistical hydrology)Paket Perekrutan Paling Mudah dan Efektif, Pilihan Ratusan Perusahaan
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UI designer -UX
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Latar Belakang Profesional
Status sekarang
Siswa/Mahasiswa
Tahap pencarian kerja
Profesi
Python Developer, Machine Learning Engineer, C,C++ Developer
Bidang Pekerjaan
Intelegensi Artifisial/Pemelajaran Mesin
Pengalaman Kerja
Kurang dari satu tahun
Management
Tidak ada
Keterampilan
Bahasa
English
・
Menengah
Preferensi Pencarian Pekerjaan
Jabatan
Tipe Pekerjaan
Full-time
Lokasi
Bekerja jarak jauh
Tertarik bekerja jarak jauh
Freelance
Pendidikan
Institusi Pendidikan
國立陽明交通大學
Jurusan
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 )