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On
4 到 6 年
6 到 10 年
10 到 15 年
15 年以上
Taipei City, Taiwan
AI工程師、機器學習工程師、深度學習工程師、資料科學家、Machine Learning Engineer、Deep Learning Engineer、Data Scientist
一個月內
就职中
・
正在积极求职中
全职 / 对远端工作有兴趣
4 到 6 年
國立政治大學（National Chengchi University）
・
資訊科學系
Product Manager @東元電機股份有限公司 (TECO Electric & Machinery Co. Ltd.)2023 ~ 2023
・
Data Scientist, Data Analyst, Machine Learning Engineer
一個月內
梁賦康 （Foo-Hong, Leong） Taoyuan City, Taiwan Email: [email protected] Tel:Skills • Languages: Python • DataBases: MySQL, SQLite • Infrastructure tools: Github • Machine learning libraries: TensorFlow, Keras, and Scikit-learn • Data visualization tools: Power BI, Seaborn and Matplotlib • Deployment: Streamlit Summary I have been working in Motor Manufacturing Industry for 8 years. My first programming was going to my Bachelor's degree, C++ was the first program I learned. Then I started to learn Python in 2018 at TEDU and my first project was the Stock Trend Prediction by CNN. I kept
就职中
・
正在积极求职中
全职 / 对远端工作有兴趣
6 到 10 年
國立成功大學 National Cheng Kung University
・
Mechanical Engineering曾任
Senior Firmware Engineer @Artesyn Embedded Technologies2019 ~ 2022
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韌體工程師/軟體工程師/控制工程師/演算法工程師/
一個月內
待业中
・
正在积极求职中
全职 / 对远端工作有兴趣
6 到 10 年
日本電氣通信大學 The University of Electro-Communications (UEC)
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Robotics Engineering
曾任
Lead Data Scientist / Senior Data Scientist @Vinnovation Network 維諾森資訊科技2022 ~ 2023
・
資料科學家、資料科學工程師、機器學習工程師
一個月內
Shih-Wen Tsou - With more than 5 years of experience in Data Analysis, Machine Learning and Deep Learning, familiar with Modeling, Data Analysis, Image Processing, Machine Learning, and Deep Learning. Taipei City, Taiwan WORK EXPERIENCE Lead Data Scientist / Full Stack Data Scientist, Vinnovation Network, Taipei, Taiwan Data Engineering / Data Analysis Spearheaded the development of a fully automated data integration pipeline that aggregated diverse data sets into a S3 Data Lake. Successfully integrated a range of data sources, including real-time data feeds from AWS Redshift and DocumentDB, as well as batch processes to import traditional CSV
待业中
・
正在积极求职中
全职 / 对远端工作有兴趣
4 到 6 年
台灣大學
・
大氣科學所
Product Manager @Linker Vision2023 ~ 现在
・
PM/產品經理/專案管理
一個月內
detection, segmentation, and classification AI scenario. Good communication skills with doctors' demands and collaboration with colleagues. Patent Disclosure: Ultrasound detect and notify system. (serial number: I學歷 SepJun 2 National Taiwan University of Science and Technology Masters in Electrical Engineering Thesis "Online Data Stream Analytics for Dynamic Environments Using Self-Regularized Learning Framework", IEEE journal SepJun 2020 Yuan Ze University Bachelor in Electrical Engineering Skills Customer/VC negotiation and customer services DL/ML/AI algorithm, keen problem solving 3D modeling (Blender) Python, Matlab, Tensorflow, Keras Object detection, Classification, [email protected]
就职中
・
目前会考虑了解新的机会
全职 / 对远端工作有兴趣
4 到 6 年
國立台灣科技大學 National Taiwan University of Science and Technology
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電機工程
Senior Backend Engineer @Bitgin2021 ~ 现在
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AI Software Engineer,Deep learning Engineer
三個月內
Demon Tsai I am a senior developer with extensive experience in backend and deep learning development. I have primarily worked in startup companies in the past and have a strong interest in new technologies and acquiring expertise. I have a keen ability to learn and deep learning is my primary focus and passion. Hobby: Movies, music, skiing, camping. Taipei City, Taiwan Experience OctoberPresent Senior AI & Backend Engineer - Bitgin Build and maintain cloud systems for various products on the exchange : Established Kubernetes (k8s) clusters from scratch on AWS and GCP using EKS and GKE. Deployed foundational
就职中
・
目前会考虑了解新的机会
全职 / 对远端工作有兴趣
10 到 15 年
國立交通大學（National Chiao Tung University, NCTU)
・
Institute of Network Engineering就职中
・
目前会考虑了解新的机会
全职 / 对远端工作有兴趣
6 到 10 年
國立臺中科技大學National Taichung University of Science and Technology.
・
資訊工程系-碩士
助理工程師 @行政法人國家資通安全研究院2023 ~ 现在
・
滲透測試、資訊安全、系統開發、程式設計
一個月內
美國參訪Defcon國際資安研討會。 技能 Skills Programming C語言 / C++ Python VB Powershell Cyber Security 滲透測試 (KALI) Metasploit Burp Suite Nmap Hydra 惡意程式逆向分析 IDA pro Ghidra GDB x64-Debugger Dnspy 事件處理 威脅情資 封包分析 WiresharK Android APP逆向工程 Jadx 模糊測試 AFL++ Language Chinese English TOEIC 635 AI Scikit-learn Tensorflow Keras CNN RNN Attention Office Word PowerPoint Excel Other Photoshop PowerDirector
就职中
・
目前会考虑了解新的机会
全职 / 对远端工作有兴趣
4 到 6 年
國立臺北科技大學NTUT
・
自動化工程研究所
Blockchain Enginner & AI Lead @Portal Network
Blockchain engineer & Blockchain consulting
一個月內
Johnny Hsieh Department of Life Science, Tunghai University [email protected] • Taipei, Taiwan I am a seasoned data scientist with over 8 years of experience specializing in the application of deep learning techniques to solve real-world challenges. In 2016, I co-founded PxTag Co., a company dedicated to utilizing computer vision technology to enhance Instagram branding efforts. My role expanded as I took on the position of AI Director at a fintech startup, responsible for designing and implementing a machine learning system that evaluates customer ratings based on personal and market financial data.
全职 / 对远端工作有兴趣
4 到 6 年
Senior Software Engineer @U-NEXT Co., Ltd.2021 ~ 现在
・
Software Engineer
一個月內
for fashion 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
就职中
全职 / 对远端工作有兴趣
4 到 6 年
Nation Taiwan University
・
Bioelectronic and Bioinformatics最轻量、快速的招募方案，数百家企业的选择
搜寻简历，主动联系求职者，提升招募效率。
- 浏览所有搜寻结果
- 每日可无限次数开启陌生对话
- 搜尋僅開放付費企業檢視的简历
- 检视使用者信箱 & 电话
搜寻技巧
1
Search a precise keyword combination
senior backend php
2
Use quotes to search for an exact phrase
"business development"
3
Use the minus sign to eliminate results containing certain words
UI designer -UX
职场能力评价定义
专业技能
该领域中具备哪些专业能力（例如熟悉 SEO 操作，且会使用相关工具）。
问题解决能力
能洞察、分析问题，并拟定方案有效解决问题。
变通能力
遇到突发事件能冷静应对，并随时调整专案、客户、技术的相对优先序。
沟通能力
有效传达个人想法，且愿意倾听他人意见并给予反馈。
时间管理能力
了解工作项目的优先顺序，有效运用时间，准时完成工作内容。
团队合作能力
具有向心力与团队责任感，愿意倾听他人意见并主动沟通协调。
领导力
专注于团队发展，有效引领团队采取行动，达成共同目标。
专业背景
目前状态
就学中
求职阶段
专业
软体工程师, Python 开发人员, 机器学习工程师
产业
软件, 人工智能 / 机器学习, 机器人科学
工作年资
小於 1 年
管理经历
无
技能
语言能力
English
・
专业
German
・
进阶
Chinese
・
母语或双语
求职偏好
希望获得的职位
Software Engineer
预期工作模式
全职
期望的工作地点
台灣台北市, 台灣新北市, 台灣新竹市新竹, 台灣桃園
远端工作意愿
对远端工作有兴趣
接案服务
否
学历
学校
國立清華大學
主修科系
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