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4-6 years
6-10 years
10-15 years
More than 15 years
Algorithm Research & Development @適着三維科技股份有限公司 TG3D Studio Inc.2021 ~ Present
・
Software Engineer
Within one month
level with a size error margin of less than 3 cm. Computer Vision Body Reconstruction Stable Diffusion DApp: Exercise Classification Implemented real-time activity recognition for specified exercises, including but not limited to push-ups and squats, enabling accurate tracking and analysis of workout routines. Skeleton Detection Motion Classification Body AI: 3D Body Data Analysis Engage in a variety of AI side projects focused on leveraging 3D body data, encompassing tasks such as Body ID Recognition, Body Measurements Prediction, and Body Shape Classification. Mesh Data Processing Body Modulization: SMPL Project Engineer • Acer Inc. JanMay 2021 Working
Employed
・
Ready to interview
Full-time / Interested in working remotely
4-6 years
國立台灣大學
・
生物產業機電工程所
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
Within one month
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Data Engineer @TSMC 台積電2022 ~ Present
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資料分析師、演算法工程師、軟體工程師、軟體專案管理
Within one month
Employed
・
Ready to interview
Full-time / Interested in working remotely
4-6 years
國立中央大學 National Central University
・
網路學習科技研究所
OPC Chief Engineer @TSMC2020 ~ Present
・
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
in distributed computing, optimizing code execution across thousands of systems to significantly improve processing speed and efficiency. ◆Developed sophisticated data visualization tools to distill complex datasets into actionable insights, aiding strategic decision-making. The University of Tokyo, Foreign Researcher (OctSep◆Pioneered a neural network-based approach for cell image classification and data visualization, enhancing lab capabilities in biological research. ◆Designed a user-friendly GUI for neural network model training, democratizing access to advanced computational tools for non-programmers. Education National Chiao-Tung University, Ph.D. - Photonics, 2015 ~ 2020 Development of Intelligent Wearable Near Infrared Spectroscopy
Employed
・
Ready to interview
Full-time / Interested in working remotely
4-6 years
National Chiao-Tung University
・
Ph.D. - Clinical Engineering
Past
Electrical Section Head @Sayyed Engineers Limited2014 ~ 2016
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Electrical and Electronics Engineer
Within three months
based Project using SIMATIC SSignal conditioning of data received from the Aircraft Engine MFI-17 Super Mushshak Part Task Trainer (Simulator) Team lead of the Hardware installation and interfacing with soft instruments Using National Instruments NI-Daq 6343 Hardware designing of Trim Panel using Arduino Uno Foreign Object Debris Detection, Classification, and Localization using Deep Learning Python language based Project using YOLO-V7 (you only look once) Addressed the Class imbalance in FOD-A Dataset FOD detection/localization with improved accuracy Data Acquisition design and implementation of a Level-D Simulator (C130-H) NI-PXI Chassis-based DATA ACQUISITION
Unemployed
・
Ready to interview
Full-time / Interested in working remotely
6-10 years
University of Central Punjab
・
Electrical and Power Transmission Installation/Installer, General設備專案工程師 @日月光半導體製造股份有限公司 ADVANCED SEMICONDUCTOR ENGINEERING, INC.2020 ~ Present
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工程師
Within three months
Employed
・
Open to opportunities
Full-time / Interested in working remotely
4-6 years
國立高雄科技大學 National Kaohsiung University of Science and Technology
・
電腦與通訊工程系
Research & Development Engineer @三竹資訊股份有限公司2023 ~ Present
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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
Within one month
and deployed it to the environment. Major Product and Project Experience AI training platform backend development with Label Studio/DVC/MLflow Developed training templates. AI-SaaS Implemented NLU tasks using BERT-based models to provide functions such as named entity recognition, entity relation extraction, and article classification . Implemented NLG tasks using T5 to provide article summarization functionality. NetProbe - DPI Use 1D-CNN and MLP models for encrypted network traffic identification . Use the Autoencoder model for unknown packet detection . Taiwan Ministry of the Interior Investigation Bureau Police Station - AI Crime Investigation Trace Analysis
Employed
・
Open to opportunities
Full-time / Not interested in working remotely
4-6 years
國立中央大學 National Central University
・
資訊工程
Data science lecturer @Ittraining2020 ~ Present
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Data Scientist 資料科學家_數據分析師
Within one month
氣道擴散偵測競賽 I：運用物體偵測作法於找尋STAS, 2022/06/02 - Bronze medal (team): (Kaggle) VinBigData Chest X-ray Abnormalities Detection: Automatically localize and classify thoracic abnormalities from chest radiographs, 2021/03/30 Classification (影像分類): - Bronze medal (solo): (Kaggle) Human Protein Atlas - Single Cell Classification: Find individual human cell differences in microscope images, 2021/05/12 - 5th place (team): (Aidea AI CUP) Mango grade classification, 2020/12/29. https://reurl.cc/
Employed
・
Open to opportunities
Part-time / Interested in working remotely
More than 15 years
Purdue University
・
School of civil engineering (Stochastic & statistical hydrology)
Product Manager @Linker Vision2023 ~ Present
・
PM/產品經理/專案管理
Within one month
detection, segmentation, and classification AI scenario. Good communication skills with doctors' demands and collaboration with colleagues. Patent Disclosure: Ultrasound detect and notify system. (serial number: I學歷 SepJun 2 National Taiwan University of Science and Technology Masters in Electrical Engineering Thesis "Online Data Stream Analytics for Dynamic Environments Using Self-Regularized Learning Framework", IEEE journal SepJun 2020 Yuan Ze University Bachelor in Electrical Engineering Skills Customer/VC negotiation and customer services DL/ML/AI algorithm, keen problem solving 3D modeling (Blender) Python, Matlab, Tensorflow, Keras Object detection, Classification, [email protected]
Employed
・
Open to opportunities
Full-time / Interested in working remotely
4-6 years
國立台灣科技大學 National Taiwan University of Science and Technology
・
電機工程
Senior Software Engineer @International Integrated Systems, Inc.(IISI)2020 ~ Present
・
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
modules：Resblock, GhostBottleNeck, SE-layer, DarkBlock. Used Attention mechanism：StripPooling, MixedPoolingModule, SelectiveKernel . According to the input data, use convolutional layers of different dimensions (1D~3D) to learn information. Used weight standardization to assign weights to improve model training effect. Built a composite model of regression and classification. AI development environment management Used docker or Anaconda to establish and maintain the development environment with GPU. Set up the environment to use the LLM (LLAMA2, Taiwan-LLaMa, Codellama, Llama2-chinese-13b, etc.) Model Training and Tuning Tips Adjusted the data batch size according to the
Employed
・
Open to opportunities
Full-time / Interested in working remotely
4-6 years
私立中原大學 Chung Yuan Christian University
・
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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
Studying
Job Search Progress
Professions
Security Engineer, Software Engineer, Data Engineer
Fields of Employment
Artificial Intelligence / Machine Learning, Internet of Things (IoT), Cyber Security
Work experience
Less than 1 year
Management
None
Skills
Languages
English
・
Fluent
Job search preferences
Positions
資訊安全管理師/資訊安全工程師
Job types
Intern
Locations
台灣台北
Remote
Interested in working remotely
Freelance
No
Educations
School
台灣科技大學
Major
資訊工程系
蘇峻緯
IsLab研究生
Taipei City, Taiwan
+886 955348051Education
台灣科技大學
資訊工程
2022 - 2024
指導教授 : 李漢銘 / 鄭欣明 教授
研究領域 : 惡意軟體檢測
簡介
實驗室主要在做資訊安全相關的事，目前在做惡意軟體檢測結合人工智慧相關的研究，從執行檔逆向提取特徵，到使用機器學習或深度學習去做預測，以上過程皆有實做過。在學校還有修習資訊安全這門課，主要有學習過Crypto、Reverse、Pwn、Web相關的知識
國立中山大學
應用數學系
2018 - 2022
簡介
在學期間有在系上修過資料結構、演算法、計算機結構等程式相關課程，在應用數學系的課程中非常多都是與程式做結合的課程，而相關的課程我皆有修習，在學期間還有接觸過自然語言處理、機器學習、數值分析等課程，故在對於數據的分析方面有經驗。
Working Experience
資訊安全實習生 • 中國人壽
九月 2024 - present
監測資訊安全測試，機敏資料搜尋，分析資訊安全報告
資訊安全實習生 • 回饋網股份有限公司(Shopback)
五月 2023 - 九月 2023
監測資訊安全測試，機敏資料搜尋，分析資訊安全報告
資安研究實習生 • 日本情報通信研究機構(NICT)
一月 2023 - 三月 2023
將人工智慧技術應用在資訊安全領域，結合特定資料結構縮減執行時間
教師 • 家庭教師
十月 2019 - Present
教導國中數學
Competition
- 資安系列競賽 - 111年資安技能金盾獎初賽
- AIS3 EOF CTF 2023 初賽
Related Experience
TWCSA 惡意程式分析實務課程
• 八月 2023
在課程中認識逆向工具，了解逆向分析思維及攻擊手法
CYBERSEC 2022台灣資安大會
• 九月 2022
在大會中了解目前資訊安全方面的各種趨勢，了解不同資安的攻擊及防禦手法，以及各種資安常用工具
台科資安社
• 十月 2022 - Present
透過資安社的各種學習資源，學習各類資訊安全相關的手法及應用範圍
資安實務課程
• 九月 2022 - Present
學習Crypto、Reverse、Web、Pwn相關知識，並實際去做各種CTF的題目，從中熟悉各種資安軟體的使用
Project
Opcode Based IoT Malware Detector
輸入執行檔，從執行檔中提取Opcode，並使用TF-IDF等相關技巧將其向量化，再使用預訓練好的機器學習模型進行預測，最終輸出預測結果，預測結果可以選擇是單純的判斷是否為惡意軟體，或者是惡意家族分類，最後做出的成果準確率達到99%。
Skill
Programing
C++ programming Python programming
Information Security
IDA Pro 
Radare2 
Retdec 
Ghidra 
x64dbg
Artificial Intelligence
Malware detection 
Machine learning
Other
Wolfram Mathematica
Language
English — 進階 TOEIC-Listening and Reading Test : 800分
Chinese— 母語
蘇峻緯
IsLab研究生
Taipei City, Taiwan
Education
台灣科技大學
資訊工程
2022 - 2024
指導教授 : 李漢銘 / 鄭欣明 教授
研究領域 : 惡意軟體檢測
簡介
實驗室主要在做資訊安全相關的事，目前在做惡意軟體檢測結合人工智慧相關的研究，從執行檔逆向提取特徵，到使用機器學習或深度學習去做預測，以上過程皆有實做過。在學校還有修習資訊安全這門課，主要有學習過Crypto、Reverse、Pwn、Web相關的知識
國立中山大學
應用數學系
2018 - 2022
簡介
在學期間有在系上修過資料結構、演算法、計算機結構等程式相關課程，在應用數學系的課程中非常多都是與程式做結合的課程，而相關的課程我皆有修習，在學期間還有接觸過自然語言處理、機器學習、數值分析等課程，故在對於數據的分析方面有經驗。
Working Experience
資訊安全實習生 • 中國人壽
九月 2024 - present
監測資訊安全測試，機敏資料搜尋，分析資訊安全報告
資訊安全實習生 • 回饋網股份有限公司(Shopback)
五月 2023 - 九月 2023
監測資訊安全測試，機敏資料搜尋，分析資訊安全報告
資安研究實習生 • 日本情報通信研究機構(NICT)
一月 2023 - 三月 2023
將人工智慧技術應用在資訊安全領域，結合特定資料結構縮減執行時間
教師 • 家庭教師
十月 2019 - Present
教導國中數學
Competition
- 資安系列競賽 - 111年資安技能金盾獎初賽
- AIS3 EOF CTF 2023 初賽
Related Experience
TWCSA 惡意程式分析實務課程
• 八月 2023
在課程中認識逆向工具，了解逆向分析思維及攻擊手法
CYBERSEC 2022台灣資安大會
• 九月 2022
在大會中了解目前資訊安全方面的各種趨勢，了解不同資安的攻擊及防禦手法，以及各種資安常用工具
台科資安社
• 十月 2022 - Present
透過資安社的各種學習資源，學習各類資訊安全相關的手法及應用範圍
資安實務課程
• 九月 2022 - Present
學習Crypto、Reverse、Web、Pwn相關知識，並實際去做各種CTF的題目，從中熟悉各種資安軟體的使用
Project
Opcode Based IoT Malware Detector
輸入執行檔，從執行檔中提取Opcode，並使用TF-IDF等相關技巧將其向量化，再使用預訓練好的機器學習模型進行預測，最終輸出預測結果，預測結果可以選擇是單純的判斷是否為惡意軟體，或者是惡意家族分類，最後做出的成果準確率達到99%。
Skill
Programing
C++ programming Python programming
Information Security
IDA Pro Radare2 Retdec Ghidra x64dbg
Artificial Intelligence
Malware detection Machine learning
Other
Wolfram Mathematica
Language
English — 進階 TOEIC-Listening and Reading Test : 800分
Chinese— 母語