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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
・
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
Offline
Offline
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
Back End Engineer @Prosa.ai2018 ~ Present
・
Software Engineer / Backend Engineer
Within one month
and interns, providing guidance on technology stacks, coding practices, and engineering cultures. Contributing as a member of the backend team for a meeting transcription product. AI Engineer • Prosa.ai AprilNovember 2018 | Bandung, West Java, Indonesia Conducting various NLP experiments such as machine translation, question answering, and text classification. Freelance Developer • PT Telkom Indonesia Persero, Tbk NovemberNovember 2018 | Bandung, West Java, Indonesia Developing and maintaining internal partnership system using Laravel. Intern • Arsanesia Entertainment JuneAugust 2015 | Bandung, West Java, Indonesia Developing mobile game using Unity Engine. Education Institut Teknologi Bandung Master's degree, Informatics • GPA 3
Employed
・
Open to opportunities
Full-time / Interested in working remotely
4-6 years
Institut Teknologi Bandung ITB
・
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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
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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
Open to opportunities
Professions
Back-end Engineer, Python Developer, Machine Learning Engineer
Fields of Employment
Artificial Intelligence / Machine Learning, Software, Robotics
Work experience
4-6 years
Management
None
Skills
Languages
Chinese
・
Native or Bilingual
English
・
Intermediate
Job search preferences
Positions
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
Job types
Full-time
Locations
Taiwan
Remote
Not interested in working remotely
Freelance
No
Educations
School
國立中央大學 National Central University
Major
資訊工程
趙啟雲 chiyun chao
A software engineer with 4 years of experience in AI model training and backend development.
In the domain of machine/deep learning, I am familiar with:
- focus on NLP(Natural language processing) and DPI(Deep packet inspection)
- NLP networks such as Transformer, BERT, T5
- have experience with AI training platform development with mlflow, Label Studio, DVC
In terms of backend development, I have the following experience：
- backend framework: Spring boot, Flask
- familiar with DB syntax for Elasticsearch, PosgresSQL and MSSQL
Taiwan E-mail: [email protected]
Skill
languages
Python
JAVA
backend
Spring Boot
Flask
Deep Learning
Pytorch
CI/CD
Docker
Git
SVN
Jenkins
Work Experience
工作經歷
Research & Development Engineer
Mitake Information Corporation • Jul 2023 - Present
- LLM-Based conversation system R&D
- Retrival Augmented Generation (RAG) system development
- ReAct prompting system development
- OpenSource LLM inference/prompting engineering
Software Engineer
Gorilla Technology Group • Oct 2018 - May 2023
Main Role / Achievement:
- Research machine learning topics such as natural language processing (NLP) and deep packet inspection (DPI), and conducted proof of concept (POC) projects.
- Developed an AI training platform.
- Developed an AI-based model inference service 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 System:
- Use BERT-based models to provide more comprehensive association analysis results by identifying named entities and extracting entity relationships from client's internal data.
- Taiwan High Prosecutors Office - National Drug Database System:
- Developed an alarm scheduler service.
- Developed Microsoft Excel parsers to support importing data from major payment and exchange operators.
Education
National Central University
Computer Science and Information Engineering Master's degree • 2016 - 2018
- Research : Advantages and Constraints of a Hybrid Model K-12 E-Learning Assistant Chatbot (Published in: IEEE Access DOI: 10.1109/ACCESS.2020.2988252)
National Central University
Computer Science and Information Engineering Bachelor's degree • 2012 - 2016
- Collaborated with Lishin Hospital on the development of a stroke rehabilitation app through industry-academic partnership.
趙啟雲 chiyun chao
A software engineer with 4 years of experience in AI model training and backend development.
In the domain of machine/deep learning, I am familiar with:
- focus on NLP(Natural language processing) and DPI(Deep packet inspection)
- NLP networks such as Transformer, BERT, T5
- have experience with AI training platform development with mlflow, Label Studio, DVC
In terms of backend development, I have the following experience：
- backend framework: Spring boot, Flask
- familiar with DB syntax for Elasticsearch, PosgresSQL and MSSQL
Taiwan E-mail: [email protected]
Skill
languages
Python
JAVA
backend
Spring Boot
Flask
Deep Learning
Pytorch
CI/CD
Docker
Git
SVN
Jenkins
Work Experience
工作經歷
Research & Development Engineer
Mitake Information Corporation • Jul 2023 - Present
- LLM-Based conversation system R&D
- Retrival Augmented Generation (RAG) system development
- ReAct prompting system development
- OpenSource LLM inference/prompting engineering
Software Engineer
Gorilla Technology Group • Oct 2018 - May 2023
Main Role / Achievement:
- Research machine learning topics such as natural language processing (NLP) and deep packet inspection (DPI), and conducted proof of concept (POC) projects.
- Developed an AI training platform.
- Developed an AI-based model inference service 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 System:
- Use BERT-based models to provide more comprehensive association analysis results by identifying named entities and extracting entity relationships from client's internal data.
- Taiwan High Prosecutors Office - National Drug Database System:
- Developed an alarm scheduler service.
- Developed Microsoft Excel parsers to support importing data from major payment and exchange operators.
Education
National Central University
Computer Science and Information Engineering Master's degree • 2016 - 2018
- Research : Advantages and Constraints of a Hybrid Model K-12 E-Learning Assistant Chatbot (Published in: IEEE Access DOI: 10.1109/ACCESS.2020.2988252)
National Central University
Computer Science and Information Engineering Bachelor's degree • 2012 - 2016
- Collaborated with Lishin Hospital on the development of a stroke rehabilitation app through industry-academic partnership.