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Staff Software Engineer @全得資通有限公司
2019 ~ Present
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Within one month
Flutter App Developement
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6-10 years
The University of Auckland
Computer Science
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Mobile Developer @Deepcoin
2020 ~ Present
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Flutter Developer
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Full-time / Interested in working remotely
6-10 years
河南科技大学
软件开发
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Past
資深工程師 @Velodash Inc.
2019 ~ 2023
Android / Flutter / Backend
Within one month
Android
kotlin
JAVA
Unemployed
Ready to interview
Full-time / Interested in working remotely
6-10 years
國立成功大學
資訊工程學系
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軟體開發工程師 @中國信託證券
2022 ~ Present
iOS 工程師
Within one month
行軟體架構及模組設計以 Markdown 撰寫 API 文件 功能開發,維護,測試,修改 將 Objective c MVC 程式轉為 swift MVVM 並加以重構 公司小型專案改用 Flutter 開發(Jenkins) 維護自動化程式 CI / CD 信義房屋 軟體開發工程師, 2017 / 10 ~ 2019 / 5 主要經手專案:企業內部使用 App 及信義房屋客
Swift
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4-6 years
財團法人資訊工程策進會
App 開發
Avatar of 杜佳謙 Jia Chian Du.
Avatar of 杜佳謙 Jia Chian Du.
Senior Android Engineer @Kdan Mobile Software Ltd.
2020 ~ Present
Senior Android Developer
Within one month
杜佳謙 Senior Android Engineer 我是一名擁有4年App開發經驗的Android工程師。參與多個被數百萬位以上使用者使用的Android App的開發和維護。 有獨立與團隊合作開發的經驗,精通使用Kotlin開發Android App,並且也有Flutter的開發經驗。我熱衷於探索新技術並將其應用在工作中。 如
Android
Kotlin
Java
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4-6 years
國立台灣科技大學 National Taiwan University of Science and Technology
Computer Science
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Software engineer @SingularWings Medical.
2019 ~ Present
Software Engineer
Within one month
Ray Huang Software engineer Hsinchu, Taiwan As a software engineer with five years of experience in app development, I specialize in Android technologies and applications. ✓ Proficient in both independent development and teamwork. ✓ Experienced in multiple programming languages and systems, including Java, Kotlin, and Flutter, spanning across both Android and iOS platforms. 「The reason people are ordinary is because they cannot surpass themselves.」 #Android technology #Self-learning #Willing to share #Team collaboration #Camping life Specialization Android - Kotlin / Java / Flutter - Android SDK - C++ / JNI - Bluetooth - MVVM
Android
Java
kotlin
Employed
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4-6 years
Kaohsiung Medical University 高雄醫學大學
Medical Informatics
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Frontend Engineer @晶密股份有限公司
2023 ~ Present
前端工程師
Within one month
優化 Coludflare 的 cache HIT,從原本的 40% 提升至 95%。 Frontend Engineer • 新加坡商異域資訊有限公司台灣分公司 TravelSkope 十一月四月 2022 | Taipei, Taiwan 花費 6 個月學習 Flutter 開發 ,和 1 名前端工程師主管,1 名 UI/UX,5 名後端工程師共同開發台灣虎航機上 Point of Sale System(POS),提供機上點餐購物還有
JavaScript
HTML5
CSS
Employed
Ready to interview
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4-6 years
國立東華大學
應用數學系
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Avatar of Justin Liu.
Manager @GOMAJI 夠麻吉
2017 ~ Present
Project Lead / Tech Lead / Team Lead / Technical Manager
Within one month
party services like Shopify Plus. (2) Achievement: Improved website performance by 20%, SEO score to 90, ensuring stability under high traffic and enabled rapid business model validation. 2. App Development: (1) Responsibility: Led development of Android and iOS apps, using Java, Kotlin, Objective-C, Swift. Introduced Flutter and integrated CircleCI for CI/CD, overseeing planning to execution. (2) Achievement: Established cross-platform development process, reducing costs and ensuring product stability through automation. 3. Cloud Architecture, CI/CD, and Software Development Process: (1) Responsibility: Developed hybrid cloud architecture using GCP, especially include
Team Lead
Management Team
Cloud Architecture
Employed
Ready to interview
Full-time / Interested in working remotely
10-15 years
Shih Hsin University
Management Information Systems, General
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Avatar of Ryan Shen.
Sr. Full Stack Engineer @類神經網路股份有限公司
2021 ~ Present
資深程式設計師
Within one month
Ryan Shen Sr. Fullstack Engineer Taipei City, Taiwan Hi, I'm Ryan! I'm working as a web developer and I have 6 years of working experience as an engineer. I specialize in web development, code maintainability, and fundamentals of programming languages. [email protected] Work Experience Sr. Full Stack Engineer • 類神經網路股份有限公司 SepPresent Angular/Node.js/TypeScript/ Flutter /Docker/Firebase/MySQL/GCP 1. Built and maintained website management consoles in Angular to help shop owners
Android
Windows
Linux
Employed
Ready to interview
Full-time / Interested in working remotely
6-10 years
輔仁大學 Fu Jen Catholic University
Computer Science and Information Engineering
Avatar of 邱文凱.
Avatar of 邱文凱.
系統開發經理 @優利士實業
2013 ~ Present
前端工程師、後端工程師、全端工程師
Within one month
司取得電子出租單。 https://www.facebook.com//videos// https://www.facebook.com//videos// 技能 前端:javascrirpt'、css、scss、html 前端框架: jquery、vue3、Bootstrap、nuxt、flutter、 phoengap、electron 後端框架:laravel、express、firebase、 Serverless、docker、docker-compose 伺服器:linux(ubunut、centos、reheater、 RedHat )、macos、winserver 後端雲端:aws、gcp、或直接伺服器架設 各類應用架構: Serverless、node、aws(ec2、ecs、Route
JavaScript
node
Python
Employed
Ready to interview
Part-time / Interested in working remotely
10-15 years
私立僑泰高級中學
微電修護科

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Problem-Solving
Ability to identify, analyze, and prepare solutions to problems.
Adaptability
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Within two months
Graduate student @ NTU
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AUO
2022 ~ 2022
Taipei, Taiwan
Professional Background
Current status
Studying
Job Search Progress
Ready to interview
Professions
Software Engineer
Fields of Employment
Software
Work experience
Less than 1 year
Management
None
Skills
Deep Learning
Backend Development
Image Processing
Data Analysis
Git
Python
Flutter
C++
HTML
CSS
Languages
English
Native or Bilingual
Indonesian
Native or Bilingual
Chinese
Intermediate
Job search preferences
Positions
Software Engineer / Backend Engineer
Job types
Full-time
Locations
Tainan, Taiwan, Hsinchu, Hsinchu City, Taiwan, Taipei, 台灣
Remote
Interested in working remotely
Freelance
Yes, I'm currently a full-time freelancer
Educations
School
National Taiwan University
Major
Computer Science
Print

Benedictus Kent Chandra

  Taipei City, Taiwan      

Work Experience

Data Scientist Intern  •  AU Optronics

July 2022 - Sept 2022

Research Assistant  •  NCKU CSIE

Mar 2022 - June 2022

• Achieved 95% accuracy in machine defect detection by training YOLOv5 and 93% on the SOTA YOLOv7 model.

• Implement alarm system to notify engineers when defects are detected with Python.

• Designed and developed user-friendly UI using PyQt5 to streamline label generation and model retraining, empowering non-technical users to accomplish these task with ease and efficiency.


• Utilized Python and various data analysis tools (NumPy, Pandas, Matplotlib) to implement standardized approach to bounding box labels, contributing to improved model performance.

• Leveraged YOLOv5 with accuracy of up to 90% accuracy, consistently delivering reliable results.

• Develop dataset auto-labeling pipeline using Python and trained YOLOv5 to increase labeled dataset.


Education

National Taiwan University  •  M.S., Computer Science

Sept 2022 - Aug 2024

• Focus on SLAM & monocular 3D scene reconstruction research to improve model performance and/or reduce computational cost and develop AR application system pipeline with Unity for tele-meeting scenario.

• Related coursework: Intro to Fintech, Game Programming, Robotics, Artificial Intelligence, Advanced Computer Vision

• Average GPA: 4.0/4.3

National Cheng Kung University •  B.S., Computer Science 

Sept 2018 - July 2022

• NCKU x Bank Sinopac Scholarship and Encouragement Student Aid (Jan. 2021)

• Related coursework: Data Structure, Algorithms, Operating Systems, Computer Vision, Deep Learning

• Average GPA: 3.0 / 4.3

Projects


Automated Trading System / Experiment (Alpaca)

[In Progress]

• Developed an automated Python trading system with FastAPI as the backend.

• Analyzed daily profit/loss data and automated comparisons with NASDAQ.

• Employed MongoDB to store profit/loss data efficiently.

• Ongoing work: Developed a web interface to visualize profit/loss charts using HTML, CSS, and JavaScript (Chart.js).

• Ongoing work: Exploring machine learning models for stock price predictions

Blogging Content Generator with LLM

• Leveraged the cutting-edge Langchain framework to interface with GPT-3.5-turbo LLM API.

• Designed a user input pipeline system, capable of generating extensive 1500-word blog content.

• Improved pipeline efficiency by 40%, reducing inference time from 5 to 3 minutes.

• Enhance content accuracy and reduce LLM hallucination with Google SERP data scraping.

• Employed Flask framework for efficient API communication.

• Applied prompt engineering to optimize LLM output.

Weight Tracker

• Designed a weight tracking website using HTML, CSS, and JavaScript.

• Utilized Chart.js to create visually stunning weight charts.

• Developed a Node.js backend for data transmission.

• Stored and managed weight data efficiently in MySQL.

Traditional Chinese Medicine Analyzer

Developed a mobile app for image capture and content browsing using Flutter.

• Achieved 93% accuracy in traditional Chinese medicine detection using YOLOv5.

• Employed FastAPI to interact with a custom-trained YOLOv5 model hosted on a server.

Electricity Operating Reserve Forecasting

• Employed data analysis tools (NumPy, Pandas, Matplotlib) to analyze data seasonality.

• Utilized ADF and KPSS tests to assess data stationarity.

• Conducted model comparison to identify the most effective machine learning approach.

Garbage Classification

• Captured 1200+ images across 5 garbage classes.

• Achieved 92% accuracy in garbage classification with MobileNetV2.

• Achieved 95% accuracy in garbage classification with custom ResNet50.

• Created a Flask-based backend server for image inferencing.

Skills

Programming Languages


  • Python
  • C / C++ / C#
  • HTML / CSS / Javascript
  • Flutter / Dart
  • Java

Software Tools


  • Keras / TensorFlow / PyTorch
  • Roboflow / LabelImg
  • Numpy / Pandas / Scikit-Learn
  • OpenCV
  • MongoDB / MySQL / SQLite
  • Flask / FastAPI / Node.js

Language


  • English (IELTS: 7.0)
  • Chinese
  • Indonesian
Resume
Profile

Benedictus Kent Chandra

  Taipei City, Taiwan      

Work Experience

Data Scientist Intern  •  AU Optronics

July 2022 - Sept 2022

Research Assistant  •  NCKU CSIE

Mar 2022 - June 2022

• Achieved 95% accuracy in machine defect detection by training YOLOv5 and 93% on the SOTA YOLOv7 model.

• Implement alarm system to notify engineers when defects are detected with Python.

• Designed and developed user-friendly UI using PyQt5 to streamline label generation and model retraining, empowering non-technical users to accomplish these task with ease and efficiency.


• Utilized Python and various data analysis tools (NumPy, Pandas, Matplotlib) to implement standardized approach to bounding box labels, contributing to improved model performance.

• Leveraged YOLOv5 with accuracy of up to 90% accuracy, consistently delivering reliable results.

• Develop dataset auto-labeling pipeline using Python and trained YOLOv5 to increase labeled dataset.


Education

National Taiwan University  •  M.S., Computer Science

Sept 2022 - Aug 2024

• Focus on SLAM & monocular 3D scene reconstruction research to improve model performance and/or reduce computational cost and develop AR application system pipeline with Unity for tele-meeting scenario.

• Related coursework: Intro to Fintech, Game Programming, Robotics, Artificial Intelligence, Advanced Computer Vision

• Average GPA: 4.0/4.3

National Cheng Kung University •  B.S., Computer Science 

Sept 2018 - July 2022

• NCKU x Bank Sinopac Scholarship and Encouragement Student Aid (Jan. 2021)

• Related coursework: Data Structure, Algorithms, Operating Systems, Computer Vision, Deep Learning

• Average GPA: 3.0 / 4.3

Projects


Automated Trading System / Experiment (Alpaca)

[In Progress]

• Developed an automated Python trading system with FastAPI as the backend.

• Analyzed daily profit/loss data and automated comparisons with NASDAQ.

• Employed MongoDB to store profit/loss data efficiently.

• Ongoing work: Developed a web interface to visualize profit/loss charts using HTML, CSS, and JavaScript (Chart.js).

• Ongoing work: Exploring machine learning models for stock price predictions

Blogging Content Generator with LLM

• Leveraged the cutting-edge Langchain framework to interface with GPT-3.5-turbo LLM API.

• Designed a user input pipeline system, capable of generating extensive 1500-word blog content.

• Improved pipeline efficiency by 40%, reducing inference time from 5 to 3 minutes.

• Enhance content accuracy and reduce LLM hallucination with Google SERP data scraping.

• Employed Flask framework for efficient API communication.

• Applied prompt engineering to optimize LLM output.

Weight Tracker

• Designed a weight tracking website using HTML, CSS, and JavaScript.

• Utilized Chart.js to create visually stunning weight charts.

• Developed a Node.js backend for data transmission.

• Stored and managed weight data efficiently in MySQL.

Traditional Chinese Medicine Analyzer

Developed a mobile app for image capture and content browsing using Flutter.

• Achieved 93% accuracy in traditional Chinese medicine detection using YOLOv5.

• Employed FastAPI to interact with a custom-trained YOLOv5 model hosted on a server.

Electricity Operating Reserve Forecasting

• Employed data analysis tools (NumPy, Pandas, Matplotlib) to analyze data seasonality.

• Utilized ADF and KPSS tests to assess data stationarity.

• Conducted model comparison to identify the most effective machine learning approach.

Garbage Classification

• Captured 1200+ images across 5 garbage classes.

• Achieved 92% accuracy in garbage classification with MobileNetV2.

• Achieved 95% accuracy in garbage classification with custom ResNet50.

• Created a Flask-based backend server for image inferencing.

Skills

Programming Languages


  • Python
  • C / C++ / C#
  • HTML / CSS / Javascript
  • Flutter / Dart
  • Java

Software Tools


  • Keras / TensorFlow / PyTorch
  • Roboflow / LabelImg
  • Numpy / Pandas / Scikit-Learn
  • OpenCV
  • MongoDB / MySQL / SQLite
  • Flask / FastAPI / Node.js

Language


  • English (IELTS: 7.0)
  • Chinese
  • Indonesian