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Software engineer
Avatar of Daivalentineno Janitra Salim.
Avatar of Daivalentineno Janitra Salim.
Software Engineer @Media Wind Health Group
2021 ~ Present
Software engineer
Within two months
Daivalentineno Janitra Salim Full Stack Engineer Taipei City, Taiwan On the surface, Daivalentineno J S is an accomplished Full Stack Engineer with 5 years of experience in Software Companies, especially in Website Development. I was mostly working using HTML, CSS, Vanilla JS, Vue JS, PHP, Laravel Framework, Golang, and Solidity. I can solve corporate issues using an efficient and safe information system. I am open to challenges, conversations, and an exchange of ideas with other colleagues. http://daivalentinenojs.my.id/ Skills Backend Linux, Apache MySQL, Maria DB PHP, PHPUnit Laravel Guzzle
Web Development
Mobile Application Development
System Analysis
Employed
Full-time / Interested in working remotely
4-6 years
Harbin Institute of Technology
Polar Environment
Avatar of Brian Canlas.
Avatar of Brian Canlas.
Past
Full Stack Developer @Dylish
2020 ~ 2023
Software Engineer
Within one year
Brian Canlas Full Stack Developer Los Angeles, CA, United States Creative Full-stack developer with 7+ years of professional knowledge of Web & Mobile development with a willingness to learn and master Software architecture. Experience of facilitating web and mobile projects from concept to launch. My passion is to design and create reliable and smooth web and mobile applications to make every software solution worth it. Ready to apply my passion for coding to a talented engineering team to develop quality solutions. Work Experience Full Stack Developer • Dylish MarchAugust 2023 • Developed and maintained online food ordering
JavaScript
React.js
Vue.js
Unemployed
Full-time / Interested in working remotely
6-10 years
Nanyang Technological University, Singapore
Computer Science
Avatar of 陳韋嘉.
Avatar of 陳韋嘉.
全端工程師 @帝商科技股份有限公司
2020 ~ Present
Software Engineer
Within one month
陳韋嘉 全端工程師 / Taichung,TW / [email protected]畢業於朝陽科技大學資訊工程學系 喜愛打棒球、四處旅遊、Coding和思考邏輯所帶來的成就感、熱於學習語發現新的技術、閱讀科技或財經相關的文章。 Skills Backend/Frontend PHP - Laravel, CodeIgniter Node.js C# C++ C Python - Robot Framework Java JQuery HTML CSS Vue.
PHP
Laravel
Scrum
Employed
Open to opportunities
Full-time / Not interested in working remotely
4-6 years
朝陽科技大學
資訊工程系
Avatar of 陳信中.
Avatar of 陳信中.
Past
網頁程式開發(後端) @Evision Solution
2019 ~ 2021
Software Engineer
Within one month
HHIN-CHUNG CHEN - Familiar with large data querymillion+, oracle) - Intermediate skill on Front-End Developing. ( HTML, CSS ) - Advanced skill on Back-End Developing. ( PHP, Node JS, Python ) - Transnational cooperation with medium-sized team. ( about 20+ teammates ) - Always have strong willing to learn. Background: - E-commerce platform in Taiwan. - Warehouse manage system in China. Software Engineer Taipei Special Municipality,TW [email protected] 主要技能 Program Language: PHP Framework: ThinkPHP(5.1), Laravel(5.4) Database: Oracle, MySql Vsersion Control: Git, SVN 其他技能 Programming
PHP
NodeJS
Git
Unemployed
Full-time / Remote Only
6-10 years
National University of Kaohsiung
Computer Science and Information Engineering
Avatar of the user.
Avatar of the user.
Software Engineer @Binflux Inc.
2020 ~ 2023
Software Engineer
Within six months
System Architecture
System Design
CSS
Full-time / Interested in working remotely
6-10 years
Fju Jen Catholic University
Information Management
Avatar of Leo Lin.
Avatar of Leo Lin.
Data Engineer @漸強實驗室 Crescendo Lab Ltd.
2020 ~ 2022
Software Engineer
Within one year
Handle 7M+ requests and send 200M+ messages per day. Integrated several 10+ services such as GA, Shopline, 91APP, SurveyCake, E-Invoice, etc. Rewrote the backbone service and migrated the infrastructure from Heroku to GCP using Kubernetes. Backend Engineer • Universe Tech NovJul 2019 • 8 mos PHP/Laravel/MariaDB/Redis Be one of the first engineers and design the overall architecture of the backend service. Built the CRM and customer service system for online games. Interview the junior engineers. Project Taiwan Stock Analytic Platform Python/Airflow/dbt/
Python
Django
Airflow
Employed
Full-time / Interested in working remotely
4-6 years
國立台灣大學 National Taiwan University
資訊工程
Avatar of the user.
Avatar of the user.
Senior Software Development Enginner @Sotera Wireless Inc.
2023 ~ Present
Software Engineer
Within one month
C++
Django
HTML/CSS/JS
Employed
Part-time / Interested in working remotely
6-10 years
NTUST
Graduate Institute of Automation And Control
Avatar of the user.
Avatar of the user.
Past
Senior MERN Stack Engineer @Keepler
2020 ~ 2022
Software Engineer
More than one year
React.js
React Native
Redux
Unemployed
Full-time / Remote Only
4-6 years
Temple University, Japan Campus
Computer Science

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Technical Skills
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Problem-Solving
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Ability to navigate unexpected situations; and keep up with shifting priorities, projects, clients, and technology.
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Leadership
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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