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Definition of Reputation Credits
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.