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On
4 到 6 年
6 到 10 年
10 到 15 年
15 年以上
待業中
・
正在積極求職中
全職 / 對遠端工作有興趣
4 到 6 年
萬能科技大學
・
資訊管理
曾任
資深前端工程師 Senior Front-End Developer @法樂設計有限公司2019 ~ 現在
・
資深前端工程師
一個月內
郭岳銘 資深前端工程師 Senior Front-End Developer New Taipei City, Taiwan <個人作品網站> http://kymweb.design/ <Github> https://github.com/kymmax <前端技能> - 串接 API 資料經驗 - 熟悉 HTML5, CSS, Javascript 完成 RWD 頁面製作 - 熟悉 SCSS / SASS Preprocessor 快速生成樣式 - 使用 Bootstrap library 經驗 - 使用 Building tools: Gulp / Webpack / Vite 經驗 - 具 React 框架、狀態管理
待業中
・
正在積極求職中
全職 / 對遠端工作有興趣
4 到 6 年
National Yang Ming University
・
生醫光電所就職中
・
正在積極求職中
全職 / 對遠端工作有興趣
4 到 6 年
Royal College of Art
・
Painting就職中
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正在積極求職中
全職 / 對遠端工作有興趣
4 到 6 年
消金AO @第一商業銀行股份有限公司2021 ~ 現在
・
一個月內
蘇郁晴 銀行行員 Taipei, Taiwan 現年27歲，我在金融領域積累了多年的實務經驗，包括保經和銀行業務。我熟悉存匯業務、會計和個人消費金融貸款，擁有豐富的專業知識及實務技能，並且考取多張電腦及金融相關專業證照。我是一位積極進取、勤奮負責的
就職中
・
正在積極求職中
全職 / 對遠端工作有興趣
4 到 6 年
國立高雄科技大學（原國立高雄第一科技大學）
・
金融系
技術主任 @ASMedia Technology Inc2013 ~ 現在
・
FAE工程師
一個月內
謝謂鈞 An active, positive thinking and diligent fellow with more than 2 years of Electronics Engineering and 10 years Field Application Engineer experience Email:[email protected] City, Taiwan 工作經歷 技術主任 • ASMedia Technology Inc 三月Present Field Application Engineer Wistron Corporation Electronics Engineering 四月四月Taipei, Taiwan 學歷逢甲碩士 電子電路 Title Asmedia FAE Analyze the bug claimed by customers and find the root cause. Tender preparation, technical support, and customer on-site support Check customers PCB layout &schematic Electrical
就職中
・
正在積極求職中
全職 / 暫不考慮遠端工作
6 到 10 年
逢甲
・
電子電路
曾任
資深工程師 @上博科技股份有限公司2023 ~ 2024
・
PHP資深工程師
一個月內
江仔 做事迅速—1天產生5支API供APP使用 樂於溝通—與美術設計前端網頁時，積極提出想法並討論出最佳解 做事負責—當天工作當天完成 Keelung City, Taiwan 工作經歷 資深工程師 • 上博科技股份有限公司 五月二月 2024 支援C#程式開發，主要進行自動線任務
待業中
・
正在積極求職中
全職 / 對遠端工作有興趣
10 到 15 年
Natinal Chiayi University 國立嘉義大學
・
資訊管理
曾任
資深介面設計師 @Lexionlu Design Firm_瑞芙國際設計有限公司 網際網路相關業2023 ~ 2024
・
UIUX Designer
一個月內
徐郁喆 UIUX Designer Taipei City, Taiwan 6年的介面設計經驗，包含電商、航空、銀行、衛生局。 有RWD Web和App的設計經驗，包含雙系統iOS、Android 擅長規劃製作Guideline、操作流程、UI設計、icon圖片 擅長繪製Flow chart、wireframe、Mockup、Prototype等，進行溝通討論 常協助其他部門與研發溝通需求，具有良好的溝通和
待業中
・
正在積極求職中
全職 / 對遠端工作有興趣
4 到 6 年
國立臺北教育大學(National Taipei University of Education)
・
玩具與遊戲設計研究所
曾任
服裝創意總監特助 @Olivo2023 ~ 2023
・
設計助理 銷售員
一個月內
Amelia Chung Kaohsiung City, [email protected] http://linkedin.com/in/amelia-chungba 工作經歷 服裝創意總監特助 • Olivo 六月九月 2023 | Taipei, Taiwan 平面設計 商品平面修圖拍攝 流行趨勢分析 市場分析 品牌定位分析 顧客關係管理分析 色彩流行分析 胚樣製作和繪製 服裝設計繪製 視覺陳列設
待業中
・
正在積極求職中
全職 / 對遠端工作有興趣
4 到 6 年
倫敦金匠藝術學院 Goldsmiths College, University of London
・
Luxury brand and management
曾任
Marketing @Sepreken Kitchen and Bar2018 ~ 2022
・
Sales and Marketing Specialist
一個月內
Christian Frengki Amping Experienced sales and marketing professional with a proven track record of achieving and exceeding sales targets. Strong leadership skills and the ability to motivate a team to achieve organizational goals. Flexible and adaptable to change, with a focus on customer service excellence. Known as an effective communicator with good negotiation skills. Always ready to take on new challenges and grow in career. Jakarta, Indonesia Pengalaman Kerja Marketing • Sepreken Kitchen and Bar AprJan 2022 Develop a program for each event including promos that will be carried out in the next year. Digital
待業中
・
正在積極求職中
全職 / 對遠端工作有興趣
6 到 10 年
STIE YKPN Yogyakarta
・
management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
就職中
求職階段
專業
產業
工作年資
小於 1 年
管理經歷
無管理經驗
技能
語言能力
English
・
中階
求職偏好
希望獲得的職位
PHD Student
預期工作模式
全職
期望的工作地點
United States
遠端工作意願
對遠端工作有興趣
接案服務
否
學歷
學校
National Chung Cheng University
主修科系
Computer Science and Information Engineering
Research Experience
Research Assistant
Pennsylvania State University• 08.2023 - Present
- Reinforcement Learning for Advanced Persistent Threat
- Analyzing real-world enterprise login data and network data to reconstruct the actual network environment.
- Simulating the attack behavior of APT groups such as APT28 or APT41.
Academia Sinica • 09.2021 - 06.2023
- Graph-based Neural Attack Behavior Detection and Alignment with Kernel Audit Logs for Advanced Persistent Threats
- Simulated APT attack on Linux and Windows
- Developed a theory for efficiently reducing kernel audit logs to ensure the high quality of behavior detection
- Developed models leveraging graph embedding to correlate and mine suspicious behavior in audit logs
- Modeling Threat Representation through Building Cyber Threat Knowledge Base for Advanced Persistent Threats
- Developed models to extract semantic context from cyber threat intelligence platforms for generating provenance graphs
- Using Honeypot Logs and Packets for Identifying Network Attack Patterns and their Signature
- Utilizing BERT-based models to analyze packets and logs from honeypots provided by Soft Bank
M.S.
National Chung Cheng University • 09.2019- 07.2021
- Driving Behavior Recognition based on Generative Adversarial Networks
- Developed a redesigned model for identifying whether drivers are the owners of cars
- Developed a mechanism for ensuring the reliability of the detection system
- Evaluating the accuracy of several types of GAN in different situations
Work Experience
Network administrator
College of Engineering in CCU• 09. 2019 - 09. 2020
- Maintained and administered the college's firewalls and network infrastructures
- Managed the college's services, such as websites, VPN, and DNS
Education
PhD in Informatics
Penn State University• 08. 2023 - present
M.S . in Computer Science and Information Engineering
National Chung Cheng University • 09. 2019 - 07.2021
Publication
- P.-Y. Tseng, P.-C. Lin, Edy Kristianto, Vehicle Theft Detection by Generative Adversarial Networks on Driving Behavior. Engineering Applications of Artificial Intelligence (published) [Paper]
Project
- Reinforcement Learning for Advanced Persistent Threat
- A novel approach to defend against APT attacks, specifically targeting lateral movement.
- To formulate APT attack into Observable Markov Decision Process (POMDP) problems
- APT Discovery using OSINT and Network & System Logs
- Integrated Open-source intelligence, Cyber threat intelligence, and MITRE ATT&CK framework into a cyber threat knowledge base, and developed neural network architectures to analyze and detect APT attacks in a multi-host environment.
- Aligned the observed evidence to adversary lifecycle and correlated the relation between the detected
attacks and known attackers.
Skills
- Python
- TensorFlow
- PyTorch
- Bash scripting
- Neo4J
- Linux Shell
- Java
- C#
- C
Research Experience
Research Assistant
Pennsylvania State University• 08.2023 - Present
- Reinforcement Learning for Advanced Persistent Threat
- Analyzing real-world enterprise login data and network data to reconstruct the actual network environment.
- Simulating the attack behavior of APT groups such as APT28 or APT41.
Academia Sinica • 09.2021 - 06.2023
- Graph-based Neural Attack Behavior Detection and Alignment with Kernel Audit Logs for Advanced Persistent Threats
- Simulated APT attack on Linux and Windows
- Developed a theory for efficiently reducing kernel audit logs to ensure the high quality of behavior detection
- Developed models leveraging graph embedding to correlate and mine suspicious behavior in audit logs
- Modeling Threat Representation through Building Cyber Threat Knowledge Base for Advanced Persistent Threats
- Developed models to extract semantic context from cyber threat intelligence platforms for generating provenance graphs
- Using Honeypot Logs and Packets for Identifying Network Attack Patterns and their Signature
- Utilizing BERT-based models to analyze packets and logs from honeypots provided by Soft Bank
M.S.
National Chung Cheng University • 09.2019- 07.2021
- Driving Behavior Recognition based on Generative Adversarial Networks
- Developed a redesigned model for identifying whether drivers are the owners of cars
- Developed a mechanism for ensuring the reliability of the detection system
- Evaluating the accuracy of several types of GAN in different situations
Work Experience
Network administrator
College of Engineering in CCU• 09. 2019 - 09. 2020
- Maintained and administered the college's firewalls and network infrastructures
- Managed the college's services, such as websites, VPN, and DNS
Education
PhD in Informatics
Penn State University• 08. 2023 - present
M.S . in Computer Science and Information Engineering
National Chung Cheng University • 09. 2019 - 07.2021
Publication
- P.-Y. Tseng, P.-C. Lin, Edy Kristianto, Vehicle Theft Detection by Generative Adversarial Networks on Driving Behavior. Engineering Applications of Artificial Intelligence (published) [Paper]
Project
- Reinforcement Learning for Advanced Persistent Threat
- A novel approach to defend against APT attacks, specifically targeting lateral movement.
- To formulate APT attack into Observable Markov Decision Process (POMDP) problems
- APT Discovery using OSINT and Network & System Logs
- Integrated Open-source intelligence, Cyber threat intelligence, and MITRE ATT&CK framework into a cyber threat knowledge base, and developed neural network architectures to analyze and detect APT attacks in a multi-host environment.
- Aligned the observed evidence to adversary lifecycle and correlated the relation between the detected
attacks and known attackers.
Skills
- Python
- TensorFlow
- PyTorch
- Bash scripting
- Neo4J
- Linux Shell
- Java
- C#
- C