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4-6 years
6-10 years
10-15 years
More than 15 years
Front-End Developer @Storipress2022 ~ Present
・
網頁前端工程師
Within one month
HUNG-LIN CHANG Taipei City, Taiwan Bachelor, Computer Science and Information Engineering, National Chung Cheng UniversityEXPERIENCE Front-End Developer • Storipress MarPresent 1. Contributed to Karbon and vue-advertising for product utilization, enabling users to customize editor components and integrate paid advertisements. 2. Developed editor features (e.g., user mention, gallery, rich media) with Tiptap and ProseMirror, enhancing user engagement rate 3. Enabled real-time article content sync using Tiptap collaboration and IndexedDB eliminating any sync latency 4. Integrated OpenAI for article content generation, empowering users to generate tailored content based on their needs
Employed
・
Ready to interview
Full-time / Interested in working remotely
4-6 years
國立中正大學
・
資訊工程學系
Past
Android 工程師 @愛爾卓資訊2019 ~ 2023
・
Android Developer
Within one month
王璁 平時除了透過閱讀⽂章增進⾃⼰外，也會去研究Open Source專案吸取程式架構 ＆設 計的技術，不時參加Android讀書會，透過與社群交流，⼀邊分享的同時也 ⼀邊成長。 Android Developer Taipei City, Taiwan. [email protected] Education~Aletheia University Department of Computer Science Skill Programming JAVA C++ Kotlin (coroutine MVVM) SQL Develop Tools Android Studio Git Firebase Postman Navicat Premium
Unemployed
・
Ready to interview
Full-time / Interested in working remotely
4-6 years
真理大學
・
資訊工程學系
資深主任工程師 @長青資訊2017 ~ Present
・
資深工程師
Within one month
范思良 Edward / Senior Backend Engineer Over 7 years of experience Email: [email protected] | Phone:| Location: Taiwan National Chin-Yi University of Technology - Department of Electronic Engineering and Computer Science (Information Engineering) Graduated inAbout Me I am a proactive and responsible individual with a strong commitment to learning and adopting better practices in my work. My passion for solving problems is not only driven by a profound sense of accomplishment but also by an eagerness to assist others in overcoming their challenges. This enthusiasm for problem-solving fuels my focus and dedication to
Employed
・
Ready to interview
Full-time / Interested in working remotely
6-10 years
勤益科技大學
・
軟體工程
Sr. Full Stack Engineer @類神經網路股份有限公司2021 ~ Present
・
資深程式設計師
Within one month
Employed
・
Ready to interview
Full-time / Interested in working remotely
6-10 years
輔仁大學 Fu Jen Catholic University
・
Computer Science and Information Engineering
BIOS Engineer @仁寶2019 ~ Present
・
資深韌體工程師
Within one month
lake: DELL XPS, DELLPrecision 5570 · Raptor Lake: DELL XPSQualcomm: · SC8380: DELL XPSTest Engineer • King Yuan Electronics, Inc. JulyMarchIC FT test environment settings 2. Product problem analysis 3. Test yield maintenance 4. Customer product development engineering assistance Responsible customers: 1. MediaTek Inc. 2. EcoNet Inc. Education National Quemoy University Department of Computer Science and Information Engineering 1. Graduated second in the department. 2. Special Research: Software-Defined Networking(SDNSkills C C++ PowerPoint x86 BIOS/coreboot porting ARM Word UEFI UEFI BIOS Language Chinese — Native Language English — Intermediate
Employed
・
Ready to interview
Full-time / Interested in working remotely
4-6 years
國立金門大學
・
資訊
分部資訊主管 @國防部2023 ~ Present
・
滲透測試、資訊安全、系統開發、程式設計
Within one month
手機與電腦數位鑑識需求。 ASP.NET 系統開發 : 主要負責預算與主計類系統開發及維護。 學歷 (Education) 元智大學 資訊工程學系 (Bachelor of Science in Computer Science and Engineering證照及其他資料 (Certification & Others: 參加 OSCP 證照上課 (3/9-5/4)，預計於 6 月考試取得證照: 通過 EC-Council’s CPENT 證照考試並
Employed
・
Ready to interview
Full-time / Interested in working remotely
6-10 years
元智大學
・
資訊工程學系Senior Front End Developer @Gemini Data Inc.2021 ~ Present
・
Architect, Principal Software Engineer
Within one month
Employed
・
Ready to interview
Full-time / Interested in working remotely
10-15 years
Tunghai University
・
Computer Science
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
Within one month
methods in the past and surpassed SOTA LLMs by 39.6%, e.g., GPT3.5-Turbo , LLaMA, and Vicuna. Fine-tuned LLaMA based models (Alpaca, Vicuna) with LoRA and Adapter. Dataset Release: Open-source text update dataset (STKU Dataset). TA - Natural Language Processing with Deep Learning C ourse FebJul 2023 National Chengchi University , Dept. of Computer Science Student Count in Class: Served as a Teaching Assistant for NLP, catering to 90 students. Provided individualized guidance to students, aiding them in completing coursework and research projects, and offering assessme...
Employed
・
Ready to interview
Full-time / Interested in working remotely
4-6 years
國立政治大學（National Chengchi University）
・
資訊科學系Past
Senior Front-End Software Engineer @KKSTREAM 香港商科科串流股份有限公司2020 ~ 2022
・
前端工程師 Front-End Developer
Within one month
Unemployed
・
Ready to interview
Full-time / Interested in working remotely
6-10 years
國立中山大學 National Sun Yat-Sen University
・
Computer Science
Senior engineer @Chicony Electronics Co, Ltd.2018 ~ Present
・
全端工程師、後端工程師、前端工程師、軟體專案主管、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
Within one month
etc. Experience Senior engineer • Chicony Electronics Co, Ltd. ．Build an Auto-Encoder AI model for defective detection. ．Build an object detection model for detecting car types. ．Developed a Front-End and Back-End website for data analysis. ．Manage the production process and make it automated production. NovPresent Software engineer • Teco image systems co. ltd ．Developed and maintained MFP driver. MayJul 2016 EducationNational Taiwan Ocean University Computer science and engineering Skills Python C C++ C# Java html + css + javascript Objective-C Languages English (Basic) Japanese (Basic) Chinese (Native)
Employed
・
Ready to interview
Full-time / Interested in working remotely
6-10 years
National Taiwan Ocean University
・
Computer science and engineeringThe Most Lightweight and Effective Recruiting Plan
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Definition of Reputation Credits
Technical Skills
Specialized knowledge and expertise within the profession (e.g. familiar with SEO and use of related tools).
Problem-Solving
Ability to identify, analyze, and prepare solutions to problems.
Adaptability
Ability to navigate unexpected situations; and keep up with shifting priorities, projects, clients, and technology.
Communication
Ability to convey information effectively and is willing to give and receive feedback.
Time Management
Ability to prioritize tasks based on importance; and have them completed within the assigned timeline.
Teamwork
Ability to work cooperatively, communicate effectively, and anticipate each other's demands, resulting in coordinated collective action.
Leadership
Ability to coach, guide, and inspire a team to achieve a shared goal or outcome effectively.
Professional Background
Current status
Employed
Job Search Progress
Professions
Fields of Employment
Work experience
Less than 1 year
Management
None
Skills
Languages
English
・
Intermediate
Job search preferences
Positions
PHD Student
Job types
Full-time
Locations
United States
Remote
Interested in working remotely
Freelance
No
Educations
School
National Chung Cheng University
Major
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