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Taipei City, Taiwan
Avatar of 鄭翔元(Denny Cheng).
Avatar of 鄭翔元(Denny Cheng).
Past
資深工程師 @Velodash Inc.
2019 ~ 2023
Android / Flutter / Backend
Within one month
Denny Cheng ( 鄭翔元 ) I am a software engineer with diverse skills. From 2016 to 2018, I was responsible for Android and backend development (Python Flask). From 2019 to 2023, my main focus was on Flutter and React. In addition, I also use C# for side project development. My skill set spans across the development of applications for various platforms, and I maintain a curious and learning-oriented attitude towards new technologies. Taipei, Taiwan [email protected] EducationNational Cheng Kung University ( 國立成功大學 ) Computer Science and Information
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
Avatar of the user.
工程師
Within two months
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 the user.
Avatar of the user.
Engineer @鴻霖
2022 ~ Present
軟體工程師
Within one month
HTML5
Ruby
CSS3
Employed
Ready to interview
Full-time / Interested in working remotely
6-10 years
國立中正大學
資訊工程
Avatar of Henpai Hsu.
Avatar of Henpai Hsu.
前端工程師 @美商塗鴉科技(PRO360)
前端工程師,Nodejs工程師
Within one month
React-Hook-Form / React-Reactive-Form / GraphQL / NextJS Senior Frontend | Positivegrid , DecSep 2020 Develop campaign page with Bigcommerce, handlebars, stencil in vanilla Javascript Redesign architecture for service migration, from Heroku + GCP to both Ali-cloud and AWS Migrate Firebase Firestore to MongoDB Develop new APIs in Flask(Python) with other DSP engineer Introduce Docker and create create Linux CLI tool docker environment for audio process Dockerfy several backend servers for the K8S cluster Analyze traffic by Newrelic and Papertrail Frontend | Positivegrid , DecDec 2019 Implement various MVPs with designers in React SSR Add PWA ability to the
reactjs
Stylus
Flow
Employed
Open to opportunities
Full-time / Interested in working remotely
4-6 years
清大
CS master
Avatar of the user.
Avatar of the user.
後端工程師 @CYBERBIZ 順立智慧股份有限公司
2022 ~ Present
資深軟體工程師
Within one month
Linux
Web Development
Docker
Employed
Open to opportunities
Full-time / Remote Only
6-10 years
高雄應用科技大學(現併為高雄科技大學)
資訊管理
Avatar of 簡至善.
Avatar of 簡至善.
Corp. IT Data Engneer @Morrison Express Corp.
2022 ~ Present
Python Developer
Within three months
statistical modeling. Passionate about streamlining ETL processes and optimizing infrastructure. Seeking data-driven roles using Python, AWS and APIs to extract value from data. LinkedIn CakeRsume Work Experience 三月Present Data Engineer Morrison Express Proficient software engineer with over 7 years of experience developing applications with Python Migrated 10+ ETL dataflows from ECS schedulers to SNS-SQS-Lambda architecture. Maintained 5+ API services using Python and Docker. Made key contributions to achieve over 90% test coverage on collaborative projects with pytest. Known for well-structured, readable code utilizing Flask, SQLAlchemy, Requests
Python
Django(Python)
Flask(Python)
Employed
Open to opportunities
Full-time / Interested in working remotely
6-10 years
國立台灣大學 (National Taiwan University, NTU)
Psychology
Avatar of 陳東坤.
Avatar of 陳東坤.
駐點軟體工程師 @長汎旅行社
2023 ~ Present
資深軟體工程師
Within one month
暇時間喜歡研究新技術自我補充專業知識,目前專精於Web相關應用程序,後端使用過C#(Prism、MVC、ABP)、Java(SSM、Spring boot、Spring cloud)、NodeJs(Express)、PHP(Laravel)、Python(Flask、Django),前端Vue、React、JQuery,資料庫MSSQL、MySQL、Oracle、PostgreSQL、Sqlite,NoSQL Redis、MongoDB,其他Docker、k8s、ELK、MQTT、RabbitMQ...,期待有更多實際工作經歷。 工作經歷 軟體工程師CS
Excel
Word
Google Drive
Employed
Open to opportunities
Full-time / Interested in working remotely
6-10 years
高苑科技大學
電機工程系
Avatar of 林暐辰.
Avatar of 林暐辰.
後端工程師 @Glossika
2022 ~ Present
資深工程師
Within one month
林暐辰 William Lin 全端工程師 x 後端工程師 [email protected] 「用程式技術讓世界更美好」 技能點數 前端工程 JavaScript jQuery Vue.js Nuxt.js CSS SASS/SCSS Bootstrap 後端工程 PHP Laravel CodeIgniter Slim Python Flask Node.js 其他 GCP GKE Cloud Functions Heroku Git Docker MySQL 工作經歷 一月Present 資深工程師 天下雜誌股份有限公司 1.
PHP
Python
Laravel
Employed
Open to opportunities
Full-time / Interested in working remotely
6-10 years
國立清華大學
資訊系統與應用研究所
Avatar of Bambi.
Avatar of Bambi.
Frontend Developer @KICKcreative - 稽古創意行銷有限公司
2019 ~ 2023
後端工程師、Python工程師、AI軟體工程師、前端工程師
Within six months
能夠更專注在提供美食上。 以下是過程中自己有使用到的技術 / 技能: 前端 Vue 3 ( Axios, Vuex, Vue-router, Vue-i18n ) Ant Design Vue SCSS LINE Front-end Framework (LIFF) 後端 Python Flask ( ORM 框架使用 Flask-SQLAlchemy ) LINE Messaging API MySQL 版控 / 環境建置 Docker GitHub 工作經歷 四月三月 2023 Frontend Developer 稽古創意行銷有限公司 任職期間依照需
Python
Flask
vue
Employed
Not open to opportunities
Full-time / Interested in working remotely
6-10 years
緯育TibaMe
AI 應用部署工程師
Avatar of Jason Chung.
Avatar of Jason Chung.
軟體工程師 @核心智識
2018 ~ Present
後端工程師
Within one year
處方之關聯性及群集 利用Tableau視覺化呈現 工作 : 資料清理、倉儲 利用機器學習(Apriori、K-Means、LDA)演算法實作關聯性分析和分群 技術 :PythonFlask、MySQL、Highcharts、jQuery、Bootstrap 學歷二,2015 年 4 月年 10 月 中壢資策會 大數據資料分析師養成班 專題 : 住屋區位探索 內容 : 資料收集:撰寫爬蟲
Word
PowerPoint
Excel
Employed
Full-time / Interested in working remotely
4-6 years
淡江大學 Tamkang University
數學系

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Within two months
Graduate student @ NTU
Logo of AUO.
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