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Avatar of Alex Yu.
Avatar of Alex Yu.
Alex Yu
Product Manager @Linker Vision
・
2023 ~ Present
PM/產品經理/專案管理
Within one month
relationship maintenance 24 Merchants, 6 IPs. NFT generation and 3D modeling Web 3.0, Metaverse, NFT-related consultant. OctFeb 2021 Project Engineer Acer Studying cutting-edge AI/DL skills to implement on a medical AI project. 92% accuracy on glaucoma CDR detection. Familiar with object detection, segmentation, and classification AI scenario. Good communication skills with doctors' demands and collaboration with colleagues. Patent Disclosure: Ultrasound detect and notify system. (serial number: I學歷 SepJun 2 National Taiwan University of Science and Technology Masters in Electrical Engineering Thesis "Online Data Stream Analytics
Business Development
Deep Learning
PYTHON
Employed
・
Open to opportunities
Full-time / Interested in working remotely
4-6 years
國立台灣科技大學 National Taiwan University of Science and Technology
・
電機工程
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Available for paid companies
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
C++
Python
Deep Learning
Employed
・
Open to opportunities
Full-time / Interested in working remotely
6-10 years
National Chung Cheng University
・
資訊工程學所
Avatar of 金爾康.
Avatar of 金爾康.
金爾康
Engineering Manager @Viscovery 創意引晴股份有限公司
・
2018 ~ Present
Within one month
Research Experience Research Assistant, Seppresent Communication and Multimedia Lab (CMLab), NTU Proposed a Convolutional Neural Network (CNN) accurately performing fine-grained classification for surveillance car. The model recovered lost details from low resolution image with hints in crawled web images. Leveraged frame similarity to speed up CNN-based object detection and semantic segmentation models, e.g. FPN, PSPNet, YOLO, Faster-RCNN, and SegNet. Proposed a multimodal CNN achieving high fine-grained classification accuracy. The model was trained with both web images and its tags, and could predict solely with image in future testing phase
Deep Learning
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FastAPI
Employed
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Open to opportunities
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4-6 years
國立台灣大學
・
Electrical Engineering
Avatar of Tsung Hsien Chen.
Avatar of Tsung Hsien Chen.
Tsung Hsien Chen
技術長(CTO) @雅匠科技股份有限公司
・
2019 ~ 2022
CTO、Sr.Software Manager、Sr.Software Engineer
Within one month
限公司 Java/ Kotlin/ python/ Flutter/ Docker/ Django/ FastAPI/ MySQL/ AWS/ GCP/ OpenCV - Direct management of about 5 to 8. - Mobile app development about AR, temperature/co2 monitoring, beacon parking-related app, etc. - Computer vision for object detection, hand tracking, hair segmentation, and virtual makeup with python language using OpenCV and other open-source. - The assessment of new technology to import and manage engineers' working flow. - Web API development for mobile or Web, and deploy with Docker container on a cloud server or local
Python
Java
Dart(Flutter)
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4-6 years
ISU University
・
電機工程學系
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Avatar of the user.
Available for paid companies
資深經理 @緯創資通
・
2021 ~ Present
Technical Manager
Within three months
Research
Unsupervised Learning
Computer Science
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10-15 years
National Taiwan University of Science and Technology
・
Master's degree Computer Science and Information Engineering
Avatar of 施冠宇.
Avatar of 施冠宇.
施冠宇
Data engineer @H2 Inc.
・
2021 ~ Present
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Within three months
用 6 種不同 CNN model 搭配 5 種 data augmentation 並且 fine-tune model，達到 93 % Accuracy on validation dataset. Accuracy 達到 93%, 已與醫師合作發表醫學 paper 3. Pathology案件 -建立 two stage segmentation model, stage one segmentation model 達到86% IOU, stage two segmentation model 達到 94% custom dice coefficient 學歷 清華大學 動力機械工程學系技能 Software AWS Airflow Dagster Docker Git Flask Pytorch Tensorflow DVC Languages Python SQL Bash
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Docker
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4-6 years
清華大學
・
動力機械工程學系
Avatar of 陳惠龍.
Avatar of 陳惠龍.
陳惠龍
Data science lecturer @Ittraining
・
2020 ~ Present
Data Scientist 資料科學家_數據分析師
Within one month
Detection: Detect Player Contacts from Sensor and Video Data, 2023/03/03 AIGC (生成式AI): - Bronze medal (solo): (Kaggle) Stable Diffusion - Image to Prompts: Deduce the prompts that generated our "highly detailed, sharp focus, illustration, 3d renders of majestic, epic" images, 2023/05/16 Object detection (目標檢測): - 4th place (solo): (Aidea AI CUP) 肺腺癌病理切片影像之腫瘤氣道擴散偵測競賽 I：運用物體偵測作法於找尋STAS, 2022/06/02
nlp-rasa
recommender system
pytorch tensorflow
Employed
・
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More than 15 years
Purdue University
・
School of civil engineering (Stochastic & statistical hydrology)
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Avatar of the user.
Available for paid companies
Senior Backend Engineer/Machine Learning Engineer @Calyx Inc.
・
2022 ~ Present
後端工程師/系統架構師/機器學習工程師
Within one month
Fortran
JavaScript
vue.js
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6-10 years
國立臺灣師範大學
・
地球科學/大氣組
Avatar of Crystal Chang.
Avatar of Crystal Chang.
Crystal Chang
Marketing Assistant @Chainmax
・
2016 ~ 2017
Marketing Specialist
Within one month
ensuring the timely recording and distribution of clients' rewards. •Drafted, proofread, designed, and distributed both internal and external communications. This included visually compelling Google Display Ads, press releases, engaging blog posts, and posts across multiple social media platforms. •Maximized the use of the CRM system for customer segmentation and targeted marketing. •Coordinated promotional items for prospects and customers, leveraging digital platforms to achieve a wider reach and impact. •Engaged with internal teams to optimize procedures and campaigns that fueled growth marketing initiatives. •Collaborated closely with product and engineering teams to implement strategies aimed at
Digital Marketing
Employed
・
Open to opportunities
Full-time / Remote Only
6-10 years
William Paterson University of New Jersey
・
Marketing/Marketing Management, General
Avatar of Ivan Lee.
Avatar of Ivan Lee.
Ivan Lee
CakeResume Premium Badge
AI應用工程師 @碁仕科技
・
2018 ~ Present
軟體工程師
Within one month
s project has been able to grab a variety of daily necessities, including fried chicken legs and bundled wires (flexible objects). Detecting the defects of industrial products Tensorflow、Segmentation、Unet Cooperate with well-known factories and manufacturers to detect the defects of various items. Traditional algorithms need to design multiple layers of logic and processing for complex images, but general-purpose neural networks can overcome this problem. Design a general-purpose model, so that the model (Segmentation) can be generalized and learned effectively. The objects include 17 kinds of items, such as ti...
Python
Reinforcement Learning
Computer Vision
Studying
Intern / Interested in working remotely
4-6 years
長榮大學
・
企管系

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Avatar of Jhen-Yung Hsu.
Jhen-Yung Hsu
台灣新竹市新竹
Professional Background
Current status
Studying
Job Search Progress
Professions
Software Engineer, Embedded Developer
Fields of Employment
Software, Semiconductor, Artificial Intelligence / Machine Learning
Work experience
Less than 1 year
Management
Skills
C
Computer Vision
Linux Kernel
Linux
Embedded Systems
Embedded C
Python
C++
Artificial Intelligence
Deep Learning
Machine Learning
Web Development
Languages
Chinese
・
Native or Bilingual
English
・
Fluent
Job search preferences
Positions
軟體工程師、軟韌工程師、影像處理工程師、演算法工程師、AI工程師
Job types
Full-time
Locations
台灣新竹市新竹, 台灣桃園, 台灣台北市
Remote
Interested in working remotely
Freelance
Educations
School
National Chiao Tung University
Major
Computer Science
Print

許振揚 Jhen-Yung Hsu

  https://github.com/Yunyung

  [email protected] 

一名熱情的軟體工程師，擅長的領域為 Linux 作業系統、AI、電腦視覺，目前主要使用 C, C++, Python 進行各種專案開發。

目前就讀交大資工所碩士班，碩士論文朝 AI、電腦視覺領域進行研究；在學期間除 AI 外，對軟/韌體、Linux 系統亦有深入研究。

CORE EXPERTISE

Linux OS • Embedded System • Deep Learning • Computer Vision • Image Processing • Parallel Programming • C/C++/Python

學歷 - Education

國立交通大學, 碩士學位

資訊科學與工程研究所  •  2020/02 - Now. 新竹市, 台灣

  • 研究方向： AI、深度學習、電腦視覺
  • 實驗室：電腦動畫與互動圖學實驗室 (Computer Animation & Interactive Graphics Laboratory, CAIG Lab)
  • 課程助教：擔任計算機圖學、影像編修技術與特效合成，兩堂課程之助教

國立彰化師範大學, 學士學位

資訊工程學系  •  2016/09 - 2020/01. 彰化縣, 台灣

  • 學業成績：系排第一名畢業，多次書卷獎，GPA 百分制 95.93/100 
  • 專題： "無線區域網路中基於使用者經驗為導向之效能分析"，撰寫成論文(第一作者)，投稿並現場口頭報告於 TANET 2019 - 臺灣網際網路研討會「資訊展望X 5新啟航」，獲最佳論文獎
  • 程式助教：教育部高中職資訊教育計畫大學先修程式設計課，帶領未接觸過程式設計的 70 餘名高中職學生從零到理解基礎 C 語言
  • 社團：漁村服務社，帶領國小孩童進行夏令營活動

專案 - Projects

作業系統設計與實作  •  Bare-metal programming / 類 Linux 作業系統開發

  • C, ARMv8 CPU, Cortex-A53 Processor, ARM Assembly language, Raspberry PI 3 B+, OS Concepts

設計與實作可執行的作業系統，以樹梅派為硬體測試平台，OS 撰寫臨摹 Linux OS 的功能與撰寫風格，功能包含 Kernel Shell, Bootloader, Memory Allocator, Exception and Interrupt, Multi-thread, Virtual File System, File System, Device Driver, Virtual Memory, etc；專案實作上需熟悉 C 語言、ARM 組合語言、樹梅派硬體架構、編譯器/連結器、作業系統、虛擬記憶體等相關知識。

人工智慧 / 深度學習 / 電腦視覺 / 影像處理 / 資料分析  •  AI & Computer Vision  

  • Python, PyTorch, TensorFlow, OpenCV

碩班起，持續研究與實作各種 AI、CV 領域相關知識及專案，主要以 2D 影像、3D 點雲的方向著手，包括影像分類、物體偵測、實例分割、圖片超解析度、風格轉換、3D 重建、Kaggle 競賽等等；常自主學習線上 AI 相關課程 (e.g. Stanford CS231n、台大李宏毅 ML) 。

無線區域網路中基於使用者經驗為導向之效能分析  •  大學專題

  • Android Mobile APP, Google Cloud Platform, HTML/JS, Bootstrap, jQuery, Ajax, PHP, MySQL

實作 WiFi 評估系統，提出更精確 WiFi 效能評估方式為主要方向；實作上分為兩部分，分別是 Android APP 開發與網頁前後端建構，結合無線區域網路知識背景作為專案開發基礎，作為專題組長與其餘 3 位專題組員共同開發。

其他專案

  • 平行程式理論與實作 (Multi-thread, GPU, etc)
  • 軟體測試理論與實作 (Fuzz Testing, Valgrind, etc)
  • 密碼學理論與實作 (DES, AES, RSA, etc)
  • 網路爬蟲開發 (Web Crawler, Selenium)


  • 計算機圖學理論與實作 (OpenGL) 
  • 智慧物聯網家電控制
  • GCP/AWS/Azure 雲端平台使用經驗

活動與嗜好 - Activities & Hobbies

  • Medium 部落格上分享程式技術與生活，文章總點擊次數超過三萬人次。
  • 參與 2021 台灣微軟 X 台積電 ⚙️ Careerhack 黑客松，晉級決賽。
  • 主動學習有趣新知、國內外線上課程。
  • 聽 Podcast 、觀看 Youtube、Twitch

附錄補充 - Supplementary

作業系統設計與實作 https://github.com/Yunyung/Operating-Systems-Design-and-Implementation-osc2021

Medium部落格分享  https://yungyung7654321.medium.com

Kaggle 競賽參與      https://github.com/Yunyung/Global-Wheat-Detection-Competition

影像分類                https://github.com/Yunyung/CarClassifier

物體偵測                https://github.com/Yunyung/Object-Detector-on-SVHN-DatasetsObject Detection

實例分割                https://github.com/Yunyung/Instance-Segmentation-on-Tiny-PASCAL-VOC-DatasetInstance Segmentation

圖片生成                https://colab.research.google.com/drive/1ecb4-tImhe2CD6DSzxJtt63CAxt2c_Ap

圖像超解析度          https://github.com/Yunyung/EDSR-Super-ResolutionEDSR-Super-Resolution


Jhen-Yung Hsu

  https://github.com/Yunyung 

  [email protected]

0970261217

Software engineer with a master's in computer science. Experienced in Linux kernel, embedded system, deep learning, computer vision and software development.

CORE EXPERTISE

 Linux Kernel • Embedded System • Deep Learning • Computer Vision • Image Processing • Parallel Programming • C/C++/Python

EDUCATION

National Chiao Tung University | Master's Degree

Institute of Computer Science and Engineering  •  February 2020 - Present

  • Research Areas: Computer Vision, Deep Learning.
  • Teaching Assistant: "Image Manipulation Techniques and Visual Effects" and "Introduction to Computer Graphics".

National Changhua University of Education | Bachelor's Degree

Dept. of Computer Science and Information Engineering  •  September 2016 - January 2020

  • GPA: 4.0/4.0 | Graduate at the top of class.
  • Undergraduate Research: "QoE-driven Performance Analysis of WLANs".
  • Teaching Assistant: Teach 70+ high school students to learn C programming.

PROJECTS

Operating System Capstone • Bare-Metal Programming / OS Kernel Development

  • C, ARMv8 CPU, Cortex-A53 Processor, ARM Assembly language, Raspberry PI 3 B+, OS Concepts

Design and implement the operating system kernel from scratch based on Raspberry PI. Implementation and coding style refer to Linux OS. OS features include Kernel Shell, Bootloader, Memory Allocator, Exception and Interrupt, Multi-thread, Virtual File System, File System, Device Driver, Virtual Memory.

Deep Learning, Computer Vision, Image Processing, Data Analysis • AI 

  • Python, OpenCV, PyTorch, TensorFlow

Implement various projects with strong artificial intelligence and computer vision knowledge such as image classification and segmentation, object detection, super resolution, 3D reconstruction, style transfer for 2D image and 3D point cloud. Participate in Kaggle competitions and take the initiative to learn new AI technology with online courses and materials.

Coursework • Relevant Courses / Skills

Computer Architecture • Parallel Programming • Software Testing • Computer Graphics • Data Mining • Algorithms and Data structures • Web Development • Database • Verilog and FPGA • Probability • Computer Network • Network Security • Cryptography • Debugging Tools • Assembly Language

ACTIVITIES and HOBBIES

  • Share technical knowledge and daily life on medium blog and reach more than 30, 000 views.
  • Participate in Careerhack hackathon hosted by Microsoft and TSMC and reach the final in 2021.
Resume
Profile
Print

許振揚 Jhen-Yung Hsu

  https://github.com/Yunyung

  [email protected] 

一名熱情的軟體工程師，擅長的領域為 Linux 作業系統、AI、電腦視覺，目前主要使用 C, C++, Python 進行各種專案開發。

目前就讀交大資工所碩士班，碩士論文朝 AI、電腦視覺領域進行研究；在學期間除 AI 外，對軟/韌體、Linux 系統亦有深入研究。

CORE EXPERTISE

Linux OS • Embedded System • Deep Learning • Computer Vision • Image Processing • Parallel Programming • C/C++/Python

學歷 - Education

國立交通大學, 碩士學位

資訊科學與工程研究所  •  2020/02 - Now. 新竹市, 台灣

  • 研究方向： AI、深度學習、電腦視覺
  • 實驗室：電腦動畫與互動圖學實驗室 (Computer Animation & Interactive Graphics Laboratory, CAIG Lab)
  • 課程助教：擔任計算機圖學、影像編修技術與特效合成，兩堂課程之助教

國立彰化師範大學, 學士學位

資訊工程學系  •  2016/09 - 2020/01. 彰化縣, 台灣

  • 學業成績：系排第一名畢業，多次書卷獎，GPA 百分制 95.93/100 
  • 專題： "無線區域網路中基於使用者經驗為導向之效能分析"，撰寫成論文(第一作者)，投稿並現場口頭報告於 TANET 2019 - 臺灣網際網路研討會「資訊展望X 5新啟航」，獲最佳論文獎
  • 程式助教：教育部高中職資訊教育計畫大學先修程式設計課，帶領未接觸過程式設計的 70 餘名高中職學生從零到理解基礎 C 語言
  • 社團：漁村服務社，帶領國小孩童進行夏令營活動

專案 - Projects

作業系統設計與實作  •  Bare-metal programming / 類 Linux 作業系統開發

  • C, ARMv8 CPU, Cortex-A53 Processor, ARM Assembly language, Raspberry PI 3 B+, OS Concepts

設計與實作可執行的作業系統，以樹梅派為硬體測試平台，OS 撰寫臨摹 Linux OS 的功能與撰寫風格，功能包含 Kernel Shell, Bootloader, Memory Allocator, Exception and Interrupt, Multi-thread, Virtual File System, File System, Device Driver, Virtual Memory, etc；專案實作上需熟悉 C 語言、ARM 組合語言、樹梅派硬體架構、編譯器/連結器、作業系統、虛擬記憶體等相關知識。

人工智慧 / 深度學習 / 電腦視覺 / 影像處理 / 資料分析  •  AI & Computer Vision  

  • Python, PyTorch, TensorFlow, OpenCV

碩班起，持續研究與實作各種 AI、CV 領域相關知識及專案，主要以 2D 影像、3D 點雲的方向著手，包括影像分類、物體偵測、實例分割、圖片超解析度、風格轉換、3D 重建、Kaggle 競賽等等；常自主學習線上 AI 相關課程 (e.g. Stanford CS231n、台大李宏毅 ML) 。

無線區域網路中基於使用者經驗為導向之效能分析  •  大學專題

  • Android Mobile APP, Google Cloud Platform, HTML/JS, Bootstrap, jQuery, Ajax, PHP, MySQL

實作 WiFi 評估系統，提出更精確 WiFi 效能評估方式為主要方向；實作上分為兩部分，分別是 Android APP 開發與網頁前後端建構，結合無線區域網路知識背景作為專案開發基礎，作為專題組長與其餘 3 位專題組員共同開發。

其他專案

  • 平行程式理論與實作 (Multi-thread, GPU, etc)
  • 軟體測試理論與實作 (Fuzz Testing, Valgrind, etc)
  • 密碼學理論與實作 (DES, AES, RSA, etc)
  • 網路爬蟲開發 (Web Crawler, Selenium)


  • 計算機圖學理論與實作 (OpenGL) 
  • 智慧物聯網家電控制
  • GCP/AWS/Azure 雲端平台使用經驗

活動與嗜好 - Activities & Hobbies

  • Medium 部落格上分享程式技術與生活，文章總點擊次數超過三萬人次。
  • 參與 2021 台灣微軟 X 台積電 ⚙️ Careerhack 黑客松，晉級決賽。
  • 主動學習有趣新知、國內外線上課程。
  • 聽 Podcast 、觀看 Youtube、Twitch

附錄補充 - Supplementary

作業系統設計與實作 https://github.com/Yunyung/Operating-Systems-Design-and-Implementation-osc2021

Medium部落格分享  https://yungyung7654321.medium.com

Kaggle 競賽參與      https://github.com/Yunyung/Global-Wheat-Detection-Competition

影像分類                https://github.com/Yunyung/CarClassifier

物體偵測                https://github.com/Yunyung/Object-Detector-on-SVHN-DatasetsObject Detection

實例分割                https://github.com/Yunyung/Instance-Segmentation-on-Tiny-PASCAL-VOC-DatasetInstance Segmentation

圖片生成                https://colab.research.google.com/drive/1ecb4-tImhe2CD6DSzxJtt63CAxt2c_Ap

圖像超解析度          https://github.com/Yunyung/EDSR-Super-ResolutionEDSR-Super-Resolution


Jhen-Yung Hsu

  https://github.com/Yunyung 

  [email protected]

0970261217

Software engineer with a master's in computer science. Experienced in Linux kernel, embedded system, deep learning, computer vision and software development.

CORE EXPERTISE

 Linux Kernel • Embedded System • Deep Learning • Computer Vision • Image Processing • Parallel Programming • C/C++/Python

EDUCATION

National Chiao Tung University | Master's Degree

Institute of Computer Science and Engineering  •  February 2020 - Present

  • Research Areas: Computer Vision, Deep Learning.
  • Teaching Assistant: "Image Manipulation Techniques and Visual Effects" and "Introduction to Computer Graphics".

National Changhua University of Education | Bachelor's Degree

Dept. of Computer Science and Information Engineering  •  September 2016 - January 2020

  • GPA: 4.0/4.0 | Graduate at the top of class.
  • Undergraduate Research: "QoE-driven Performance Analysis of WLANs".
  • Teaching Assistant: Teach 70+ high school students to learn C programming.

PROJECTS

Operating System Capstone • Bare-Metal Programming / OS Kernel Development

  • C, ARMv8 CPU, Cortex-A53 Processor, ARM Assembly language, Raspberry PI 3 B+, OS Concepts

Design and implement the operating system kernel from scratch based on Raspberry PI. Implementation and coding style refer to Linux OS. OS features include Kernel Shell, Bootloader, Memory Allocator, Exception and Interrupt, Multi-thread, Virtual File System, File System, Device Driver, Virtual Memory.

Deep Learning, Computer Vision, Image Processing, Data Analysis • AI 

  • Python, OpenCV, PyTorch, TensorFlow

Implement various projects with strong artificial intelligence and computer vision knowledge such as image classification and segmentation, object detection, super resolution, 3D reconstruction, style transfer for 2D image and 3D point cloud. Participate in Kaggle competitions and take the initiative to learn new AI technology with online courses and materials.

Coursework • Relevant Courses / Skills

Computer Architecture • Parallel Programming • Software Testing • Computer Graphics • Data Mining • Algorithms and Data structures • Web Development • Database • Verilog and FPGA • Probability • Computer Network • Network Security • Cryptography • Debugging Tools • Assembly Language

ACTIVITIES and HOBBIES

  • Share technical knowledge and daily life on medium blog and reach more than 30, 000 views.
  • Participate in Careerhack hackathon hosted by Microsoft and TSMC and reach the final in 2021.