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On
4 到 6 年
6 到 10 年
10 到 15 年
15 年以上
Research And Development Engineer @Nityo Infotech2022 ~ 現在
・
前端/後端/軟體/全端工程師
一個月內
張倬瑜 Aries Chang Full-stack Developer [email protected] Taipei City, TaiwanMy name is Aries. I have 4 years of experience in Full-stack Developer. I could work independently with develop and maintain system. I use Spring framework to connect to relational database ,like Oracle SQL , SQL SERVER to store a lot of customer-information. And make view by Reactjs and Redux. It's my responsibility to communicate with customers and use my technology to solve their problems.I expect to be an excellent Backend engineer. Education
就職中
・
正在積極求職中
全職 / 對遠端工作有興趣
4 到 6 年
Asia University (TW)
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媒體、傳播、新聞相關學科 
Algorithm Research & Development @適着三維科技股份有限公司 TG3D Studio Inc.2021 ~ 現在
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Software Engineer
一個月內
Patrick Hsu AI Research & Development As a seasoned AI engineer with six years of experience, I specialize in computer vision, 3D body model reconstruction, generative AI, and possessing some knowledge in natural language processing (NLP). | New Taipei City, [email protected] Work Experience (6 years) Algorithm Research & Design• TG3D Studio MayPresent A skilled engineer specialized in computer vision and generative AI with experience in developing and training AI models for digital fashion applications. Body AI: Virtual Try On Integrated cutting-edge technologies such as Stable Diffusion, ControlNet, and Prompt Engineering to create a sophisticated system for
就職中
・
正在積極求職中
全職 / 對遠端工作有興趣
4 到 6 年
國立台灣大學
・
生物產業機電工程所
Senior User Experience Researcher @AJA大予創意設計股份有限公司2021 ~ 2023
・
UX Researcher/Design Researcher
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
Savannah College Art and Design
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Service Design待業中
・
正在積極求職中
全職 / 暫不考慮遠端工作
6 到 10 年
國立台北科技大學
・
Materials Science and Engineering
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）
・
資訊科學系就職中
・
正在積極求職中
全職 / 對遠端工作有興趣
6 到 10 年
Google UX Design Certificate
曾任
前端工程師 @Binance2022 ~ 2023
・
Senior Frontend Developer
兩個月內
網站 因應各大節日而生的快閃式活動網頁製作。 含抽獎系統與簽到登入活動等。 大事記 Experience 幣安 - 資深前端工程師Served as senior frontend research developer of Binance company 舊有專案維護與翻新 公司人數日漸龐大，許多在衝刺期的功能隨著時間過去會開始有些當時沒考慮到的錯
待業中
・
正在積極求職中
全職 / 對遠端工作有興趣
6 到 10 年
台北市立教育大學 (現為：臺北市立大學) University Of Taipei
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資訊科學系
Freelance Product Designer (Available for Contracts) @Self Employed2023 ~ 現在
・
Senior UI/UX designer / Product designer
一個月內
in-depth threads and articles on various topics including web3, design, startups, and leadership. - Stayed updated on industry developments and emerging trends to provide timely and relevant content to the audience. - Collaborated with cross-functional teams to ensure alignment and consistency in visual storytelling. NovemberJanuary 2023 UX Researcher & Designer GoalsMapper - Designed multiple features and solutions for the B2B SaaS platform for Financial Consultants. - Conducted usability testing and user research to iterate on designs and ensure user satisfaction. - Collaborated with cofounders and stakeholders to drive success for both businesses and theirs clients. - Implemented a new
就職中
・
正在積極求職中
全職 / 對遠端工作有興趣
4 到 6 年
Tampere University
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Human Technology Interaction
Product Design Consultant @Freelancer2023 ~ 2024
・
UX Researcher / UIUX Designer / Product Designer
一個月內
the Product Owner to develop and refine product strategies for Forest and Forest 2, ensuring continuous feature optimization and establishing clear design directions. ▪ Spearheaded the design of Forest 2, from establishing the Design System to crafting foundational functions and enhancing user experience. ▪ Led the primary UX research initiative for the Forest App, encompassing everything from qualitative research and user interviews to the development of both Lo-Fi and Hi-Fi prototypes. ▪ Analyzed user research data to identify and recommend potential iterations, driving product enhancement through informed design decisions. Senior UI/UX Designer
就職中
・
正在積極求職中
全職 / 對遠端工作有興趣
4 到 6 年
Shih Chien University
・
B.F.A Communication Design
軟體工程師 @POMME Tech2023 ~ 2024
・
軟體工程師
一個月內
Jack Android App develop with Java/kotlin IC handler robot software develop pc base application develop create Software Spec. with customers arrange software develop schedule Keysight / Keithley /Hioki Instrument control by GPIB USB manufacturing systems software development. USB pendrive Mass production tool develop RD Debug Tool develop NAND Flash sorting Tool develop SDK develop Software engineer Hsinchu，Taiwan [email protected] Skill VB, VC++, MFC, Visual studio .NET, Kotlin, Java Experience POMME Tech, Software engineer, Feb 2023 ~ April 2024 Keysight / Keithley / Hioki Instruments control by GPIB Data transfer
就職中
・
正在積極求職中
全職 / 對遠端工作有興趣
15 年以上
元培科技大學
・
電子工程最輕量、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
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