CakeResume 找人才
进阶搜寻
On
4 到 6 年
6 到 10 年
10 到 15 年
15 年以上
曾任
Senior Firmware Engineer @Artesyn Embedded Technologies2019 ~ 2022
・
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)
・
Robotics Engineering
Data science lecturer @Ittraining2020 ~ 现在
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Data Scientist 資料科學家_數據分析師
一個月內
HUEY-LONG CHEN 陳惠龍 Kaggle Competitions Expert: https://www.kaggle.com/alanchen1115 Competitions: NLP (自然語言處理): - Silver medal (solo): (Kaggle) The Learning Agency Lab - PII Data Detection: Develop automated techniques to detect and remove PII from educational data. 2024/04/24 - Silver medal (solo): (Kaggle) U.S. Patent Phrase to Phrase Matching: Help Identify Similar Phrases in U.S. Patents, 2022/06/21 Recommendation system (推薦系統): - Silver medal (solo): (Kaggle) OTTO – Multi-Objective Recommender System: Build a
就职中
・
目前会考虑了解新的机会
兼职 / 对远端工作有兴趣
15 年以上
Purdue University
・
School of civil engineering (Stochastic & statistical hydrology)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
清華大學
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動力機械工程學系就职中
全职 / 对远端工作有兴趣
6 到 10 年
National Chiao Tung University
・
Computer Science
AI Engineer @Revlis Biotech Co. Ltd., Yunlin County, Taiwan2022 ~ 现在
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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
兩個月內
in 8 years. Coordinated with Environment and Construction Authority to proceed monitoring projects. EducationMaster of Science National Sun Yat-Sen University Biological Oceanography, Multivariate Analysis, Time Series AnalysisBachelor of Science National Sun Yat-Sen University Oceanography Skills Certificate Deep Learning Machine Learning Statistics Multivariant Analysis Python SPSS SAS PyTorch Tensorflow/Keras Scikit-Learn Matplotlib Seaborn 1. Python from the Beginning / Udemy 2. Python A-Z / Udemy 3. Machine Learning A-Z / Udemy 4. Deep Learning A-Z / Udemy 5. TensorFlow 2.0 using Keras API / Udemy
就职中
全职 / 对远端工作有兴趣
10 到 15 年
National Sun Yat-sen University
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Biological Oceanography, Multivariate Analysis, Time Series Analysis 
Senior Machine Learning Engineer @C-Media Electronics2020 ~ 2021
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Machine Learning Scientist, Data Scientist
一個月內
Hao-Chun (Chad) Yang Ph.D Ph.D Graduate @NTHU (EE) | Seeking AI/ML R&D Position | Speech, IOT, Health Informatics, Computational Neuroscience | pytorch, tensorflow Room 315, General Building III, No. 101, Section 2, Kuang-Fu Road,Hsinchu City, Taiwan Skills Programming Programming: Python, Matlab DevOps: AWS, GCP, Git, Docker Deep Learning: Pytorch, Tensorflow, Keras ML& Data Science: Sklearn, Numpy, Pandas, Matplotlib MLOps: MLflow, W&B Special HonorsBest Challenge Poster - Physionet/CINC ChallengeTravel Grants - IEEE SPS SocietyPresident Scholarship - NTHU Education National Tsing Hua University Ph.D. in Electrical Engineering (SepPresent) National Tsing
服兵役中
全职 / 对远端工作有兴趣
4 到 6 年
清華大學
・
電機工程
Data Scientist/Machine Learning Engineer @CloudMile_萬里雲2019 ~ 现在
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Data analyst, Machine Learning engineer.
半年內
Science CompetitionBlack Friday Sales Prediction Top 1% inteamsData Science Bowl Top 4% in 3634 teams - TalkingData AdTracking Fraud Detection Challenge Top 16% in 3967 teams - House Prices: Advanced Regression Techniques Top 8 % in 4417 teams 技能 Programming - Python - Java - JavaScript - Golang - C - PHP Data Science - Machine Learning - Deep Learning - PyTorch - Tensorflow - Keras - Hadoop Libraries - Pandas - Numpy - SciPy - Scikit-learn Miscellaneous - Linux - MySQL - MongoDB - Google Cloud Platform - InfluxDB - Postgresql - Docker - HTML5, CSS and Bootstrap - Git 關於我 我是孫郁喬，畢業於國立台灣科技大學資訊工程研究
就职中
全职 / 对远端工作有兴趣
4 到 6 年
National Taiwan University of Science and Technology
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Computer Science
曾任
Service Provider @Taron Solutions Limited2023 ~ 2023
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AI工程師、機器學習工程師、電腦視覺工程師、資料科學家、Machine Learning Engineer、Computer Vision Engineer、Data Scientist
一個月內
轉為簡體，最終使用情感分析工具(snownlp)進行股市漲跌分析。 技術：NLP、Beautifulsoup、 opencc 、 snownlp 、 Matplotlib 台灣景氣指標預測模型 side project 使用深度學習框架(Pytorch)自行搭建預測模型，以各式台灣景氣指標當作輸入，輸出未來經濟景氣趨勢階段。 技術：Pytorch、Pandas、Numpy、 Sklearn 論文發表 • Chen, X. Z., Li
待业中
・
正在积极求职中
全职 / 对远端工作有兴趣
4 到 6 年
國立臺北科技大學
・
資訊工程
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
宋浩茹 Hao-Ru Sung| [email protected] | LinkedIn ｜ GitHub A s a Research Assistant at Academia Sinica , specializing in Generative AI research and application. With 3 + years of experience in NLP a nd Machine Learning , along with 4+ years in Backend Development . Proficient at translating complex theories into practical applications. Skills Languages: Python, R, SQL, MATLAB, C, C#, JavaScript, Node.js Software & Tools: PyTorch, PyTorch Lightning, Tensorflow, Scikit-Learn, NLTK , GCP, Linux, SQL / NoSQ , Pandas, Hugging Face, Gradio, LangChain, Tensorflow, Keras, FastAPI, OpenCV, Airflow
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）
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資訊科學系
AI Engineer @Playsee2022 ~ 现在
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資料分析師、資料科學家、產品經理
一個月內
李昀庭 Data scientist Taiwan 技能 Machine learning and Engineering skills: Python, Big Query, Google Storage, Linux, Docker, GCP, AWS, Scikit-learn, Tensorflow, Pytorch, MLOps, FastAPI, Machine Learning, Deep Learning, Computer Vision, NLP Experimental design, Project management, Product design English - TOEIC 725 工作經歷 AI工程師 Playsee NovPresent Taipei, Taiwan 自動化標註推薦系統 設計並實踐架構取代25個標註者並及時標記和篩選視頻審核內容。 設計並優化影片
就职中
・
正在积极求职中
全职 / 对远端工作有兴趣
4 到 6 年
National Cheng Kung University
・
心理所（認知科學所）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