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On
4-6 years
6-10 years
10-15 years
More than 15 years
Taipei City, Taiwan
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
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
Past
Data Engineer @BUBBLEYE | We're hiring!2021 ~ 2022
・
Software Enginer
Within one month
Unemployed
・
Ready to interview
Full-time / Interested in working remotely
4-6 years
National Taiwan University
・
電機工程學系Devops Engineer @Zoul Studio2022 ~ Present
・
Devops / UE Engineer
Within one month
Employed
・
Open to opportunities
Full-time / Interested in working remotely
4-6 years
輔仁大學 Fu Jen Catholic University
・
資訊工程
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
Employed
・
Open to opportunities
Full-time / Interested in working remotely
4-6 years
清大
・
CS master
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
Employed
・
Open to opportunities
Full-time / Interested in working remotely
6-10 years
國立台灣大學 (National Taiwan University, NTU)
・
Psychology
全端工程師 (電腦視覺及軟體) @Spingence (偲倢科技股份有限公司)2020 ~ 2023
・
AI工程師、ML工程師、資料科學家、軟體工程師
Within one month
MongoDB、React開發 - 提供不同使用者不同的訪問權限，進行訓練圖像CRUD，以及於系統內進行圖像前處理 ( 項目項次4 )。 • 核心技術 ： PyTorch, TensorFlow, ReactJS, Flask, Python, MongoDB, Azure, CI/CD Pipelines 2018年12月 – 2020年9月: 興農集團-國興資訊股份有限公司, 台灣 軟體工程師 • 開發政府機關 ERP 系統 ：使用.NET
Employed
・
Not open to opportunities
Full-time / Interested in working remotely
4-6 years
澳洲昆士蘭科技大學 (QUT)
・
電腦科學 (碩士)
Senior Engineer @TSMC 台積電2023 ~ Present
・
軟體工程師
Within six months
學起持續接觸外包市場，透過各式各樣的專案，察覺自身欠缺的能力，努力自學吸收新知。 [email protected] 技能 Programming Python C++ Qt OpenCV NSIS Back-End Python Django、Flask Node.js PHP Laravel Ruby on Rails MySQL / MariaDB Front-End HTML / CSS Bootstrap Javascript / jQuery Vue.js（Learning） Version & Cloud (CI/CD) Git / Repo Github / Bitbucket AWS / GCP
Employed
・
Not open to opportunities
Full-time / Not interested in working remotely
4-6 years
國立清華大學 National Tsing Hua University
・
資訊工程
Co-Founder & Algorithm developer @iStaging2015 ~ Present
・
Software Engineer
More than one year
Technical Lead, Nov 2019 ~ Present Led an R&D team with agile development and b uild up CI/CD flow by Bitbucket / Cloudbuild / Jenkins. System architecture planning for live commerce system with 20,000+ orders per minutes. Implemented GraphQL/RESTful API service by Python with Django framework based on GCP Kubernetes. DB scheme design based on Google CloudSQL / MySQL. iStaging, Co-Founder & Algorithm Developer, Jan 2015 ~ Sep 2019 Co-found a new startup company from 4 members team - 5x members and win 7 awards in 2 years. Led an
Interested in working remotely
4-6 years
National Chiao Tung University
・
Institutes of Multimedia Engineering
Python Developer @永豐金證券2017 ~ 2020
・
軟體工程師
More than one year
洪敏翔 Arthur 軟體工程師 • 台北市，TW • [email protected] Hi！我是Arthur，目前為後端開發，主要使用Python Django, Flask。 自我學習能力強 技能 Skills Web HTML5 CSS Python Django Flask Keras Selenium Appium Lxml JavaScript Nodejs Protractor DevOps Docker Dockerfile docker compose Gitlab CI Jenkins Linux crontab pm2 文件建置 Swagger RAML Markdown Database RDBMS MYSQL MSSQL Oracle Sqlite3 NoSQL Mongodb Redis Data Pipeline Airflow MLflow Cloud Service AWS SQS CDK API Gateway Lambda S3 工
Full-time / Interested in working remotely
4-6 years
中原大學
・
資訊管理Unemployed
・
Ready to interview
Full-time / Interested in working remotely
6-10 years
高雄應用科技大學
・
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Definition of Reputation Credits
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
Ability to convey information effectively and is willing to give and receive feedback.
Time Management
Ability to prioritize tasks based on importance; and have them completed within the assigned timeline.
Teamwork
Ability to work cooperatively, communicate effectively, and anticipate each other's demands, resulting in coordinated collective action.
Leadership
Ability to coach, guide, and inspire a team to achieve a shared goal or outcome effectively.
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
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
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.
https://github.com/lykasbongbongbong
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
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.
https://github.com/lykasbongbongbong
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