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4-6 years
6-10 years
10-15 years
More than 15 years
Cloud Services Manager @AIA2021 ~ 2022
・
DevOps Engineer, Site Reliability Engineer
Within one month
Vizag, India [email protected] PhLinkedIn Cloud Platform Microsoft Azure Amazon Web Service (AWS) Kubernetes, Redhat OpenShift AliBaba Cloud GCP AZURE: Azure VM, V-Net, Subnet, NSG, ASG, Azure storage,Access Control, Blob, Subscription Administration, AZURE Monitor, AKS, Azure DevOps DevOps & SRE Jenkins, ArgoCD, Docker, Packers Git , GitLabs , BitBucket, GitOps Maven, Ansible, Jforg, Chef, Vagrant, Msbuild, Build and Release, Deployment Strategies, Management , Vantage, Infra Cost Optimisation. AWS : EC2, S3, IAM, Route53, VPC, Autoscaling, EBS, ELB, ElasticSearch, CloudWatch, RDS, Lambda, EKS, MSK, AWS Secrets , Lambda, AWS DevOps, Kinesis , GaurdDuty, Boto3, AWS CLI Monitoring & Logging Prometheus , AlertManager
Employed
・
Ready to interview
Full-time / Interested in working remotely
10-15 years
Sikkim Manipal University
・
Information Technology
Data Engineer @Groundhog Technologies Inc.2021 ~ 2024
・
Data Analyst、Data Engineer、Data Scientist、Customer Experience Analyst
Within one month
Employed
・
Ready to interview
Full-time / Interested in working remotely
4-6 years
University of Illinois at Urbana-Champaign, School of Information Sciences
・
Information ManagementPast
Product Manager @TG3D Studio2023 ~ 2023
・
市場調查、市場分析、商業分析、資料分析
Within one month
Unemployed
・
Ready to interview
Full-time / Interested in working remotely
4-6 years
National Taipei University of Business 國立台北商業大學
・
商品創意經營學系
Senior Frontend Engineer @Health2Sync2018 ~ Present
・
Sr. Front-end, Sr. Web Developer
Within one month
洪獻謚 Vision Hung Sr. Front-end Engineer 5+ years of web development experience, including SaaS large-scale medical care platform, APP Webview and SSR official website. It also includes rebuilding front-end team projects and l ed the project of migrating Vue2 to Vue3. Be able to use integration tools and automation tools to improve the efficiency of cross-team communication. Project management skills and thinking. Taipei, Taiwan // [email protected] GitHub , Linkedin , Medium , Blog Work Experience Sr. Front-end Engineer — Health2Sync Inc. • SepPresent SaaS Medical
Employed
・
Ready to interview
Full-time / Interested in working remotely
4-6 years
國立高雄應用科技大學
・
電子工程系
Past
前端組長 @輝應有限公司2021 ~ Present
・
前端工程師、後端工程師、全端工程師
Within one month
康皓 TW • [email protected] 畢業於高雄科技大學資訊管理系 LinkedIn • Github • Blog English Version SUMMARY 畢業於高雄科技大學資訊管理系 ，有 5年的網頁開發經驗，專注於JS領域。 我喜歡前端的原因是「回饋性高」。這不單只工程面上的，還有來自使用者的回饋。我喜歡創造真的能
Unemployed
・
Ready to interview
Full-time / Interested in working remotely
4-6 years
國立高雄科技大學
・
資訊管理系
Past
後端工程師 @Canner （易開科技）2023 ~ 2024
・
Senior Backend Engineer
Within one month
我做了很多 side project ，並從中學習了很多技能。 Taiwan 技能 程式語言 Node.js Golang PHP Python 框架 React Laravel Gin Express GraphQL koa 資料服務 Mysql RabbitMQ Redis ElasticSearch 管理工具 Git Ubuntu Docker Gitlab Runner Github Action 工作經歷 後端工程師 易開科技 Canner Co.,Ltd. 三月二月 2024 Taipei, Taiwan 負責維護公司產品數據中台，專注於新功能
Unemployed
・
Ready to interview
Full-time / Interested in working remotely
4-6 years
東海大學 Tunghai University
・
資訊工程
智慧製造全端開發工程師 @聯華電子股份有限公司2022 ~ Present
・
AI工程師、機器學習工程師、深度學習工程師、影像演算法工程師、資料科學家、Ai Application Engineer,Machine Learning Engineer,Deep Learning Engineer,Data Scientist
Within one month
疵判斷 物件量測 Skills Database MySQL Oracle ArangoDB LLM Tool:langchain Vector DB:Milvus API:AzureOpenai API、FastAPI MessageBus RabbitMQ TibcoRV Skills R language 數據分析 文字探勘 統計分析 Embedded System Raspberry pi Arduino NVIDIA Jetson AGX Xavier IDE Git: 版本管理、維護 Visual studio:.NET Windows Forms 開發 Pychram:python 專案開發 RStudio: R 語言開發 UMC Project 1- WAT TEL 自動對針 WAT 機台每月大約有 200 次 Prober 異常。 Prober
Employed
・
Ready to interview
Full-time / Interested in working remotely
4-6 years
元智大學 Yuan Ze University
・
工業工程與管理學系所
Sr. iOS Developer @17LIVE2022 ~ Present
・
iOS Developer
Within one month
王富生 Over 6 years of experience in iOS development with creating stable, maintainable, and flexible systems. Experienced in developing features and optimizing app performance through cross-functional collaboration to enhance the user experience. Skilled at refactoring legacy code to improve maintainability and scalability and optimize app performance. Passionate about technology and always eager to learn and apply new skills. Taipei City, Taiwan 工作經歷 Sr. iOS Developer • 17LIVE 三月Present 1. **Video Replay Feature Design and Development** - Collaborated with Android and backend engineers to conceptualize and implement video replay
Employed
・
Ready to interview
Full-time / Interested in working remotely
4-6 years
南臺科技大學
・
電機工程
前端工程師 @Deep01_愛因斯坦人工智慧股份有限公司2022 ~ 2023
・
前端工程師、後端工程師、全端工程師
Within one month
工作經歷 丁紀中 前端/全端工程師 New Taipei City, Taiwan 我是個專門製作網頁的前端、後端的工程師，依照PM需求或是直接了解使用者需求，規劃、開發網站的架構、功能，曾餐與企業官網和後台系統，功能涵蓋表單、人員權限、報表、儀錶板、看板、留言回覆串等。此
Employed
・
Ready to interview
Full-time / Interested in working remotely
4-6 years
實踐大學（Shih Chien University）
・
資訊模擬與設計學系Past
Senior Back End Software Developer @PT Profeed Social Media Management2023 ~ 2024
・
Front-End / Back-End / Full Stack Web Developer / Software Engineer
Within one month
Unemployed
・
Ready to interview
Full-time / Interested in working remotely
6-10 years
Universitas Pembangunan Nasional Veteran Jawa Timur
・
Informatics EngineeringThe Most Lightweight and Effective Recruiting Plan
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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