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上級
On
4〜6年
6〜10年
10〜15年
15年以上
Software engineer
就職中
・
就職希望
フルタイム / リモートワークに興味あり
6〜10年
Georgia Institute of Technology
・
Doctor of Philosophy in Structural Engineering
Senior Software Engineer @U-NEXT Co., Ltd.2021 ~ 現在
・
Software Engineer
1ヶ月以内
application - Upgrade legacy backend service to modern architecture. - Enable CI/CD flow and deployment - Build internal frontend application as a full-stack developer [Core technology] - Python/JavaScript - Django/Django Rest Framwork/Chalice AWS Lambda/Flask/FastAPI - Vue.js - Tensorflow/Keras/OpenCV Software Engineer • 盛星科技 | Astra Inc. 十二月四月Build innovative computer vision and pedestrian detection backend service - Build and maintain a high availability of deep learning-based computing systems - Develop human detection and facial recognition deep learning models and algorithms [Core technology] - Golang
就職中
フルタイム / リモートワークに興味あり
4〜6年
Nation Taiwan University
・
Bioelectronic and Bioinformatics
AI與機器視覺工程師 @群創光電股份有限公司 InnoLux Corporation2022 ~ 現在
・
Software Engineer
1ヶ月以内
Breathing Behaviour and Automatic Action Recognition 2015 From IP to Import Program Top資訊科技盃實務競賽 甲等 2015 New Taipei Industrial Value Creation Program for Academia 2015 Taipei International Invention Show & Technomart 2015 Taiwanese Society of Biomedical Engineers Image Processing Familiar with C++/Java development 5+ years experience in OpenCV development 6+ months experience in Image-J plug-in development Deep Learning 2 year experience in Python 2 year experience in Tensorflow 6+ months experience in Tensorflow-Lite Other 3+ years experience in Android development TOEIC :
就職中
・
就職を希望していません
フルタイム / リモートワークに興味なし
4〜6年
國立臺灣科技大學 National Taiwan University of Science and Technology
・
醫學工程就職中
・
就職を希望していません
フルタイム / リモートワークに興味あり
6〜10年
National Chung Hsing University
・
Computer Science and Information就職中
フルタイム / リモートワークに興味あり
6〜10年
逢甲大學
・
航太與系統工程學系
Software engineer
1年以上
Kai-Kai Hsu Software Engineer • Taipei，TW • [email protected] •With 10+ years experience of image processing algorithm development, engaged in the developments of below software features : Filmora, PowerDirector, PhotoDirector, YouCam Perfect (App) and YouCam Makeup (App), mainly involved in the algorithm designings of image processing, computer vision, pattern recognition, machine learning(SVM, regression). Capable of performance tunning (Multithread, SIMD, NEON), cross-platform development, including Window, Mac, Unix, iOS, and Android systems. Skills Programming Development C++ (mainly) Objective C (elementary) iOS development Java, JNI (elementary) Android development Library OpenCV effekseer clapack
就職中
フルタイム / リモートワークに興味あり
10〜15年
中央大學
・
資訊工程
Senior Software Engineer @VEWD Software ASA, Taipei Branch office2021 ~ 現在
・
Software Engineer
1年以内
all the software projects are version controlled with git/gerrit, familiar with git flow. OpenCV / PCL(Point Cloud Lib) 在自動化產線專案中，因應客戶需求開發3D視覺演算法時，常使用到OpenCV和PCL的功能。 For a variety of demands from customers in automated assembly line projects, OpenCV and PCL are being used very often when building up 3D vision algorithm. ROS (Robot Operation System) 在開發AGV專案時，使用ROS系統來
就職中
・
就職を希望していません
フルタイム / リモートワークに興味あり
4〜6年
國立成功大學
・
自動化控制軟體工程師 @陞泰科技2011 ~ 2019
・
software engineer
1年以上
後台開通權限 2. 報價單編輯,顯示,列印,轉PDF 全譜科技, 軟體工程師, Jan 2010 ~ Aug以MFC開發window xp window xp embedded系統的應用程式,並整合opencv來影像處理 2. 使用win32 api整合RS232裝置,進行遠端機台操作 揚朋科技, 軟體工程師, Sep 2009 ~ DecLCD機台介面 2. 交握控制 技高工
就職を希望していません
フルタイム / リモートワークに興味あり
10〜15年
國立勤益科技大學
・
電機工程
全端工程師 @智慧亨通股份有限公司2020 ~ 2021
・
Software Engineer
1年以上
經驗。並有程式教學、參與展覽、參加全國性比賽等多種經驗。 目前職稱 NTUST Student，TW [email protected] 技能 擅長 C/C++、C#、C# wpf、Opencv、Python 熟悉 Unity(C#)、swift4、Keras 接觸過 html、JavaScript、TypeScript、Phaser、Android Studio、Java、MatLab、MySQL 工作經歷 產學合作案 - 峽谷即時遊憩資訊與環境品質監測智慧服務運
就職中
・
就職を希望していません
フルタイム / リモートワークに興味なし
4〜6年
臺灣科技大學
・
資訊工程所software engineer @Shopee Singapore2021 ~ 現在
・
Software engineer
1ヶ月以内
Huai-En Tseng I am familiar with data plane network function virtualization programming, high performance data plane system in data center, OpenFlow protocol, OpenvSwitch, RDMA programming, SR-I/OV, system programming optimization, eBPF/XDP, DPDK, Linux kernel packet processing, Ryu SDN controller, Kubernetes CNI and device plugin for RDMA. Senior Software engineer City，Singapore/Taipei [email protected] Work experience Shopee Singapore, Senior Software engineer , Sep 2021 ~ Now 1. Self-developed RDMA SR-I/OV cluster implementation for distributed machine learning system with lots nodes and 10 thousands pods . Including developing
就職中
・
就職希望
フルタイム / リモートワークに興味あり
4〜6年
National Taiwan University of Science and Technology
・
Software Defined Networking and Network Function Virtualization最も簡単で効果的な採用プラン
80万枚以上の履歴書を検索して、率先して求人応募者と連絡をとって採用効率を高めましょう。何百もの企業に選ばれています。
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UI designer -UX
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
現在の状況
就学中
求人検索の進捗
Professions
Software Engineer, Python Developer, Machine Learning Engineer
Fields of Employment
ソフトウェア, 人工知能／機械学習, ロボティクス
職務経験
1年未満
Management
なし
スキル
言語
English
・
ビジネスレベル
German
・
流暢
Chinese
・
ネイティブまたはバイリンガル
Job search preferences
希望のポジション
Software Engineer
求人タイプ
フルタイム
希望の勤務地
台灣台北市, 台灣新北市, 台灣新竹市新竹, 台灣桃園
リモートワーク
リモートワークに興味あり
Freelance
いいえ。
学歴
学校
國立清華大學
専攻
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