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Avatar of bram mony.
Avatar of bram mony.
IT Support Technician @Gammara Hotel Makassar
2017 ~ 2018
IT dan Manjemen GA
Within three months
Bram Mony HRGA | Maintenance Support | Web Development | Design Grafis | Informasi Teknologi | Sound Engineering | Network Engineering Indonesia Spesialis dalam bagian departemen pendukung sebagai Senior Staff General Affair di salah satu grup perusahaan manufaktur terbesar pembuatan roll baja tahan karat di kawasan Indonesia Morowali Industrial Park. Lulusan sarjana sistem informasi yang memiliki keterampilan profesional dalam bidang IT guna mendukung kebutuhan karyawan. Dipercaya sebagai penanggung jawab aktivitas resmi perusahaan pada bagian sound engineer dan visual designer. Menjunjung tinggi pelayanan dan hospitality. Bersikap profesional dalam memberikan pelayanan terbaik untuk karyawan dan perusahaan. Pribadi yang disiplin, komunikatif,dan terbuka untuk
Employed
Ready to interview
Full-time / Interested in working remotely
6-10 years
STMIK STIKOM Indonesia
Administrasi, Manajemen, dan Operasi Bisnis
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Avatar of the user.
Past
Senior Front-End Software Engineer @KKSTREAM 香港商科科串流股份有限公司
2020 ~ 2022
前端工程師 Front-End Developer
Within one month
Front-End Development
Front-End Web Development
Javascript(ES6)
Unemployed
Ready to interview
Full-time / Interested in working remotely
6-10 years
國立中山大學 National Sun Yat-Sen University
Computer Science
Avatar of 吳伊婷 (Abbygail ET Wu).
Avatar of 吳伊婷 (Abbygail ET Wu).
Past
理事長 @台灣性別不明關懷協會
2009 ~ Present
專案主管、資安經理、資安顧問、資訊主管、資安工程師、網路工程師
Within one month
吳伊婷 Abbygail ET Wu 資安工程師 後端工程師 社會運動工作者 資安講師 2024 不分區立委落選人 2017 關鍵評論網十大人物 Taipei, Taiwan 作為一名資安工程師和跨性別運動者,我深信科技和人權之間的交織能夠創造出更加包容和安全的社會。 在我的職業生涯中
Security
Security Administration
PHP
Unemployed
Ready to interview
Full-time / Interested in working remotely
More than 15 years
China-Hong Kong English School 中港英文學校
Gerneral Business
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Avatar of the user.
Past
Desainer Grafis @PT. Optima Kurnia Elok
2014 ~ 2019
UI Desiger / Web Designer / Graphic Design
Within two months
Microsoft Office
Illustrator / Photoshop
CorelDRAW
Unemployed
Ready to interview
Full-time / Interested in working remotely
6-10 years
Universitas Terbuka
Ekonomi Bisnis
Avatar of the user.
Avatar of the user.
Past
Software Developer @PERBASI
2023 ~ Present
Senior Backend Engineer
Within one month
Python Programming
JavaScript
IoT & Embedded System
Unemployed
Ready to interview
Full-time / Interested in working remotely
6-10 years
Universitas Teknokrat Indonesia
Computer Science
Avatar of 劉岳宬.
Avatar of 劉岳宬.
主任工程師 @創奕能源科技股份有限公司
2023 ~ Present
軟體工程師
Within one month
度管理 外勤: 材料準備、機台安裝、管路配置、電源配置 太陽能案場現勘: 案場效率檢測與效益分析 學歷大華科技大學 電子工程系 技能 Javascript(ES6) Node.js React.js MERN Stack Full-Stack Web Development TypeScript.ts html + css + javascript Github GitLab-CI/CD LabVIEW Python AWS SQL MQTT 語言 Japanese — 專業 Chinese — 母語或雙語 English — 中階
Javascript(ES6)
Node.js
React.js
Employed
Ready to interview
Full-time / Interested in working remotely
10-15 years
大華科技大學
電子工程系
Avatar of 賴泳瑄.
Avatar of 賴泳瑄.
老闆 @歐趴飲料店
2012 ~ 2018
AIOT開發工程師
Within one month
體並加入至黑瘋科技,至今在黑瘋科技期間開發過IOS/ANDROID APP、WEB、2D/3D GAME、LINUX設備都有配合過AI做出創新應用。 AI軟體開發 Web開發並上架 RESTful Api 串接 Unity遊戲開發並上架 Linux設備開發 Android, IOS App 軟體開發並上架 Taichung City, Taiwan 技能 前端 Andorid Kotlin IOS Swift WEB Vue, Html, PHP, Javascript, Css
機器學習、大數據分析、邊緣運算、資料探勘
Application Development
Data Science
Employed
Ready to interview
Full-time / Interested in working remotely
6-10 years
Tunghai University
資訊
Avatar of 吳冠儀.
Avatar of 吳冠儀.
前端工程師 (主任) @藍星球資訊股份有限公司
2017 ~ Present
Front-end Engineer
Within one month
吳冠儀 前端工程師 [email protected] Taipei, Taiwan 2017年碩士班畢業後,成為前端工程師已有6年 對前端技術與網頁設計,充滿熱忱 在現職中已做過多個專案,想挑戰有穩定產品的職務, 接受遠端工作、混合辦公 技能 Frontend Tech Stack JavaScript ES6 TypeScript Vue 2 Vue Composition api Vue 3 Nuxt 2 Nuxt Composition api
Vue.js
JavaScript
TypeScript
Employed
Ready to interview
Full-time / Interested in working remotely
6-10 years
國立臺北科技大學
資訊與財金管理系 碩士班
Avatar of 沈弘哲.
工程師
Within two months
沈弘哲 熱愛 Python 以及 Linux, 希望透過寫程式為社會貢獻(解決生活上的問題),喜歡拍教學影片、寫文章。 https://github.com/twtrubiks https://www.youtube.com/user/blue https://www.linkedin.com/in/twtrubiks-a/  [email protected] 技能 - Odoo Python ERP, Django, Flask, gRPC - Postgres(lock, transaction-isolation), Master-Slave, PgBouncer - AWS, Docker, RTMP HLS, Jenkins, ELK (ILM
Developer
Python
django
Unemployed
Ready to interview
Full-time / Interested in working remotely
6-10 years
高雄應用科技大學
電機系
Avatar of Max Chou 周奕勳.
Avatar of Max Chou 周奕勳.
Software Engineer @Zenport Inc.
2023 ~ Present
軟體工程師
Within one month
區進行市場研究,包括當地市場格局、客戶偏好和競爭分析 學歷 University of Essex 碩士 電腦科學 •國立台灣大學 資訊工程學系與創意創業學程 •倫敦大學 學士 電腦科學 (休學) •Y Combinator Startup School 2016 技能 Node.js JavaScript DevOps / CI / CD Backend Development Full Stack Development Web Development Docker 語言 英文 — 流利 中文 — 母語
Node.js
JavaScript
DevOps / CI / CD
Employed
Ready to interview
Full-time / Remote Only
4-6 years
University of Essex
Computer Science

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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
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Time Management
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More than one year
Computer Vision Reseacher
國立中央大學
2020 ~ Present
Hsinchu, 新竹市台灣
Professional Background
Current status
Studying
Job Search Progress
Professions
Software Engineer, Python Developer, Machine Learning Engineer
Fields of Employment
Software, Artificial Intelligence / Machine Learning, Robotics
Work experience
Less than 1 year
Management
None
Skills
Artificial Intelligence
Deep Learning with PyTorch
Deep Learning with Tensorflow
Computer Vision
Python
Git
C++
Web
Languages
English
Professional
German
Fluent
Chinese
Native or Bilingual
Job search preferences
Positions
Software Engineer
Job types
Full-time
Locations
台灣台北市, 台灣新北市, 台灣新竹市新竹, 台灣桃園
Remote
Interested in working remotely
Freelance
No
Educations
School
國立清華大學
Major
資訊應用研究所
Print

林佳縈 Chia Ying Lin

Computer Vision Reseacher

  Computer Vision Lab, NTHU


With 4-year solid training in computer science fundamentals, 2-year independent research experience in computer vision, and diverse hands-on development experiences, I always pursue excellence, crave new challenges, and am open to all possibilities.  

  [email protected]

https://github.com/lykasbongbongbong

linkedin.com/in/lykas-chia-ying-lin

  0937-464-176

Skills

Languages


  • Python (familiar)
  • C++, C
  • JAVA

Deep Learning Frameworks


  • PyTorch (familiar)
  • Tensorflow

CV & DL Libraries


  • OpenCV
  • Keras

Development Tools


  • Git/Github
  • RESTFul APIs

Web Development


  • HTML, CSS, JS
  • Python Flask
  • PHP, Laravel
  • MySQL, NoSQL(mongoDB)
  • AWS

Others


  • English TOEFL iBT 97
  • English TOEIC 935 
  • German B2

Education


Master's Studies, Computer Vision Lab, NTHU

Dept. Information Systems and Application, Sep 2020~Now

  • Anomaly detection and segmentation for smart manufacturing as primary research target

Bachelor Degree, WASN Lab, NCU

Dept. Computer Science, Sep 2016 ~ June 2020

Exchange Student, Hochschule München, Germany

Dept. Informatik (Computer Science), Sep 2019 ~ Feb 2020

Experiences

August 2021

Attendee,

Machine Learning Summer School, NTU

August 2021

Backend Developer (Anomaly Detection Demo Website),

CVLab, FUTEX 2021

  • Use Python Flask, MySQL for RestFul APIs development
  • Optimized backend system with Python threading to support sudden massive traffic

June 2018 ~ July 2019, 1y1m

Full-Stack Web Developer (NCU Internship Web)

Career Center NCU

  • Reconstruct website with Laravel Framework
  • Optimize backend and database to handle larger amounts of access
  • Over 30% of users received intern opportunities via this site 
  • Website Link: https://ncuinternship.careercenter.ncu.edu.tw/

Master Thesis: 

SABDN: Self-Attention Based Deviation Network for few-shot anomaly detection and segmentation (Under Review ECCV 2022)



Contributions

  • Combine self-attention mechanism with feature extraction CNN network and anomaly synthesis mechanism for anomaly scoring to achieve outstanding anomaly detection accuracy under few-shot setting
  • Reach SOTA performance on benchmark dataset MVTecAD dataset and BTAD dataset with over 90 percent reduction in training data requirements

Side Projects




GlueGAN: a generative model based on SuperGlue structure

  • Extend MagicLeap’s SuperGlue end-to-end GNN concept for object synthesis to solve synthetic object image generation problem
  • 10% accuracy improvement compared to initial GAN backbone 

Let's play GAN with flows and friends!

  • Generate synthetic object images with multi-label conditions with conditional GAN manner
  • Human faces generation by conditional normalizing flow

2048: by Temporal Difference Learning Approach (RL)

  • Construct TD-learning algorithm and design own n-tuple network to solve 2048 game
  • Reach 98% 2048-tile win rate in 1000 games

The LunarLander: under Deep Q-Network and DDPG manner (RL)

  • Implement DQN and DDPG network to solve LunarLander game problem
  • Thoroughly understand Deep Q-learning, actor-critic mechanism

Real-Time car detection and counting system

  • Retrain YOLOv3 with our own hatchback dataset
  • Reach average accuracy: 99% on both day-light and evening scenarios
Resume
Profile

林佳縈 Chia Ying Lin

Computer Vision Reseacher

  Computer Vision Lab, NTHU


With 4-year solid training in computer science fundamentals, 2-year independent research experience in computer vision, and diverse hands-on development experiences, I always pursue excellence, crave new challenges, and am open to all possibilities.  

  [email protected]

https://github.com/lykasbongbongbong

linkedin.com/in/lykas-chia-ying-lin

  0937-464-176

Skills

Languages


  • Python (familiar)
  • C++, C
  • JAVA

Deep Learning Frameworks


  • PyTorch (familiar)
  • Tensorflow

CV & DL Libraries


  • OpenCV
  • Keras

Development Tools


  • Git/Github
  • RESTFul APIs

Web Development


  • HTML, CSS, JS
  • Python Flask
  • PHP, Laravel
  • MySQL, NoSQL(mongoDB)
  • AWS

Others


  • English TOEFL iBT 97
  • English TOEIC 935 
  • German B2

Education


Master's Studies, Computer Vision Lab, NTHU

Dept. Information Systems and Application, Sep 2020~Now

  • Anomaly detection and segmentation for smart manufacturing as primary research target

Bachelor Degree, WASN Lab, NCU

Dept. Computer Science, Sep 2016 ~ June 2020

Exchange Student, Hochschule München, Germany

Dept. Informatik (Computer Science), Sep 2019 ~ Feb 2020

Experiences

August 2021

Attendee,

Machine Learning Summer School, NTU

August 2021

Backend Developer (Anomaly Detection Demo Website),

CVLab, FUTEX 2021

  • Use Python Flask, MySQL for RestFul APIs development
  • Optimized backend system with Python threading to support sudden massive traffic

June 2018 ~ July 2019, 1y1m

Full-Stack Web Developer (NCU Internship Web)

Career Center NCU

  • Reconstruct website with Laravel Framework
  • Optimize backend and database to handle larger amounts of access
  • Over 30% of users received intern opportunities via this site 
  • Website Link: https://ncuinternship.careercenter.ncu.edu.tw/

Master Thesis: 

SABDN: Self-Attention Based Deviation Network for few-shot anomaly detection and segmentation (Under Review ECCV 2022)



Contributions

  • Combine self-attention mechanism with feature extraction CNN network and anomaly synthesis mechanism for anomaly scoring to achieve outstanding anomaly detection accuracy under few-shot setting
  • Reach SOTA performance on benchmark dataset MVTecAD dataset and BTAD dataset with over 90 percent reduction in training data requirements

Side Projects




GlueGAN: a generative model based on SuperGlue structure

  • Extend MagicLeap’s SuperGlue end-to-end GNN concept for object synthesis to solve synthetic object image generation problem
  • 10% accuracy improvement compared to initial GAN backbone 

Let's play GAN with flows and friends!

  • Generate synthetic object images with multi-label conditions with conditional GAN manner
  • Human faces generation by conditional normalizing flow

2048: by Temporal Difference Learning Approach (RL)

  • Construct TD-learning algorithm and design own n-tuple network to solve 2048 game
  • Reach 98% 2048-tile win rate in 1000 games

The LunarLander: under Deep Q-Network and DDPG manner (RL)

  • Implement DQN and DDPG network to solve LunarLander game problem
  • Thoroughly understand Deep Q-learning, actor-critic mechanism

Real-Time car detection and counting system

  • Retrain YOLOv3 with our own hatchback dataset
  • Reach average accuracy: 99% on both day-light and evening scenarios