CakeResume 找人才
進階搜尋
On
4 到 6 年
6 到 10 年
10 到 15 年
15 年以上
Back End Devel0per @英仕國際2020 ~ 現在
・
Data Analyst 數據分析師 / Data Scientist 資料科學家
一個月內
ut laoreet dolore magna aliquam erat volutpat. Software Engineer • Unicong 二月三月 2014 Lorem ipsum dolor sit amet, consectetuer adipiscing elit, sed diam nonummy nibh euismod tincidunt ut laoreet dolore magna aliquam erat volutpat. Block Control Engineer • Unicom 八月一月 2013 Lorem ipsum dolor sit amet, consectetuer adipiscing elit, sed diam nonummy nibh euismod tincidunt ut laoreet dolore magna aliquam erat volutpat. 學歷 National Chung Hsing University Computer Science and EngineeringNational Formosa University Information Management技能 JAVA Golang SQL jQuery Keras Python Shell Script Nginx Docker 語言 English — 中階
就職中
・
正在積極求職中
全職 / 對遠端工作有興趣
10 到 15 年
National Chung Hsing University
・
Computer Science and Engineering
智慧製造全端開發工程師 @聯華電子股份有限公司2022 ~ 現在
・
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
一個月內
就職中
・
正在積極求職中
全職 / 對遠端工作有興趣
4 到 6 年
元智大學 Yuan Ze University
・
工業工程與管理學系所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
就職中
・
正在積極求職中
全職 / 對遠端工作有興趣
4 到 6 年
國立政治大學（National Chengchi University）
・
資訊科學系
曾任
資深前端工程師 @比房科技2022 ~ 2024
・
Frontend developer.
一個月內
本，與協作完成多個網頁架設外的專案，引入與整合資訊與電子控制的高科技Demo系統模型。 技術使用：ASP.net, C#, jQuery, Vanilla Javascript, Linux, Keras, Raspberry Pi 專案 ： 產品規格書(Datasheet)產生器 (PDF), 官網搜尋引擎架構設計與開發, Popup API架構設計與開發, GDPR Cookie Management System, 官網產品介紹頁面, 機
待業中
・
正在積極求職中
全職 / 對遠端工作有興趣
4 到 6 年
暨南大學
・
電機工程
曾任
IT Network @Gyan Network2021 ~ 2023
・
IT Support
一個月內
Martin Fahmi IT Support Lulusan Manajemen Informatika, dengan pengalaman dalam bidang Administrasi dan IT support seperti pengelolaan sistem administrasi kantor, troubleshooting, networking, hardware & software. Saya juga memiliki aktifitas sehari-hari dibidang IT. Memiliki kemampuan pada IT operation , project management , dan customer service . Selain itu saya mempunyai pribadi yang berintegritas dan bertanggung jawab terhadap apa yang dikerjakan. Parung, Bogor, [email protected] https://www.facebook.com/MartinFahmi31/ Pengalaman Kerja MeiJuni 2021 Sungai Penuh, Jambi Operator Komputer dan Network Support Technician PT. Ratu Network Indonesia • Memastikan perangkat keras dan
待業中
・
正在積極求職中
全職 / 對遠端工作有興趣
6 到 10 年
Akademi Bina Sarana Informatika (BSI) Jakarta
・
Manajemen Informatika
Back End Developer @RSUD Dr. R. Soedarsono2023 ~ 現在
・
Backend developer/Full-stack developer
一個月內
Rahmat Fauzan Algipari Pasuruan, Pasuruan City, East Java, Indonesia || [email protected] Saya adalah seorang pekerja keras, antusias, dan profesional dalam bidang pengembangan aplikasi. Keterampilan utama yang saya miliki adalah pengembangan aplikasi berbasis web dan mobile dengan menggunakan teknologi terkini. Dengan kombinasi keterampilan teknis, motivasi belajar, dan nilai-nilai kolaboratif, saya siap untuk memberikan kontribusi bermakna kepada perusahaan yang menghargai pengembangan profesional dan pertumbuhan karir. Pengalaman Kerja Back End Developer • RSUD Dr. R. Soedarsono AgustusPresent | Pasuruan City, East Java Main Responsibilities: Developed a web application that handled 500 concurrent users with
就職中
・
正在積極求職中
全職 / 對遠端工作有興趣
4 到 6 年
Data Engineer @TSMC 台積電2022 ~ 現在
・
資料分析師、演算法工程師、軟體工程師、軟體專案管理
一個月內
. establish a CI/CD pipeline to kubernetes for the inner platform to imporving the seculity and stable of the process. NLP Engineer,–, Ubestream. I Led and designed a chatbot service project in EC, using Django and MongoDB. To develop NLU services with Huggingface, PyTorch, and Keras, including intent classification, NER, etc. At the same time, led a junior engineer team to set and complete the tasks, team members including 18 interns and 4 full-time engineers. And I help to prepare the product demo encompassing internal sharing, investor fundraising, and international exhibition in
就職中
・
正在積極求職中
全職 / 對遠端工作有興趣
4 到 6 年
國立中央大學 National Central University
・
網路學習科技研究所
曾任
staff tata usaha @SMA PGRI 2 KOTA SERANG2018 ~ 2022
・
DOSEN
一個月內
NURUL LAELATUL PADILAH, M.Pd Saya memiliki pendidikan magister dan pengalaman kerja sebagai guru les dan pembimbing story telling. Saya memiliki keterampilan dalam bahasa Inggris dan telah berhasil membimbing banyak siswa dalam belajar. Saya sangat bersemangat untuk terus mengembangkan keterampilan saya dan memberikan kontribusi positif dalam bidang pendidikan. Saya percaya bahwa dengan dedikasi dan kerja keras, saya dapat memberikan dampak positif bagi siswa dan lingkungan belajar. Kota Serang Banten, Indonesia || [email protected] Informasi pribadi Tempat Tanggal Lahir agama status pernikahan Kebangsaan : Lampung, 28 November 1994 : Islam : Menikah : Indonesia Pengalaman Kerja
待業中
・
正在積極求職中
全職 / 暫不考慮遠端工作
4 到 6 年
Universitas Sultan Ageng Tirtayasa (UNTIRTA)
・
magister pendidikan bahasa inggris
老闆 @歐趴飲料店2012 ~ 2018
・
AIOT開發工程師
一個月內
常測試使用體感芯片每1個月充電一次即可。 https://reurl.cc/090dEA https://reurl.cc/v0OprL 使用技術: bluetooth andorid/ios SDK、Unity、aws cloud、php laravel、python 、keras、tensorflow、SQLite、mySQL ILOLLY幼稚園管理系統 概要: 使用beacon技術綁定幼稚園孩童，並使用樹莓派蒐集資訊， 可以在非接觸環境下紀錄孩童出
就職中
・
正在積極求職中
全職 / 對遠端工作有興趣
6 到 10 年
Tunghai University
・
資訊就職中
・
正在積極求職中
全職 / 對遠端工作有興趣
6 到 10 年
國立中興大學
・
機械最輕量、快速的招募方案，數百家企業的選擇
搜尋履歷，主動聯繫求職者，提升招募效率。
- 瀏覽所有搜尋結果
- 每日可無限次數開啟陌生對話
- 搜尋僅開放付費企業檢視的履歷
- 檢視使用者信箱 & 電話
搜尋技巧
1
嘗試搜尋最精準的關鍵字組合
資深 後端 php laravel
2
將須完全符合的字詞放在雙引號中
"社群行銷"
3
在不想搜尋到的字詞前面加上減號，如果想濾掉中文字，需搭配雙引號使用 (-"人資")
UI designer -UX
職場能力評價定義
專業技能
該領域中具備哪些專業能力（例如熟悉 SEO 操作，且會使用相關工具）。
問題解決能力
能洞察、分析問題，並擬定方案有效解決問題。
變通能力
遇到突發事件能冷靜應對，並隨時調整專案、客戶、技術的相對優先序。
溝通能力
有效傳達個人想法，且願意傾聽他人意見並給予反饋。
時間管理能力
了解工作項目的優先順序，有效運用時間，準時完成工作內容。
團隊合作能力
具有向心力與團隊責任感，願意傾聽他人意見並主動溝通協調。
領導力
專注於團隊發展，有效引領團隊採取行動，達成共同目標。
專業背景
目前狀態
就學中
求職階段
專業
軟體工程師, Python 開發人員, 機器學習工程師
產業
軟體, 人工智慧 / 機器學習, 機器人科學
工作年資
小於 1 年
管理經歷
無
技能
語言能力
English
・
專業
German
・
進階
Chinese
・
母語或雙語
求職偏好
希望獲得的職位
Software Engineer
預期工作模式
全職
期望的工作地點
台灣台北市, 台灣新北市, 台灣新竹市新竹, 台灣桃園
遠端工作意願
對遠端工作有興趣
接案服務
否
學歷
學校
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