SUMMARY
I'm a skilled software engineer, experienced in NLP and Data Engineering for over 4 years. I've delivered dependable solutions across commercial, educational, and psychological counseling domains. Expertise lies in deploying stable systems, ensuring valuable and trustworthy development. My background seamlessly integrates data and machine learning for comprehensive solutions.
EXPERIENCE
I Build and improved the Python/JAVA services, including caching service with mongoDB and Redis, monitoring by ELK and import new services/tools to improvement.And as a main engineer to develop the generic Data Service to queries and processing data from various database. establish a CI/CD pipeline to kubernetes for the inner platform to imporving the seculity and stable of the process.
I Led and designed a chatbot service project in EC, using Django and MongoDB. To develop NLU services with Huggingface, PyTorch, and Keras, including intent classification, NER, etc. At the same time, led a junior engineer team to set and complete the tasks, team members including 18 interns and 4 full-time engineers. And I help to prepare the product demo encompassing internal sharing, investor fundraising, and international exhibition in the US.
the role specialized in refining BERT-based NLU models for precise text intent classification and NER Services. I architectured an API server, leveraging Tornado and Redis. deployment with GitLab-CI. At the same time, I integrated ELK for seamless data aggregation and system enhancement, ensuring a robust data lifecycle for training language models.
OTHERS
I contributed to a side project where we developed an elementary school science debate robot using advanced language models and techniques.This robot simulates opposing viewpoints and provides users with adjustment suggestions at the end of the debate. We delved into technologies like RAG and Vector Search. And prompt engineering,utilizing PPO and PEFT for model fine-tuning.
Developed Auto-labeling and ranking base on word-embedding for 6M items in Yahoo! shopping mall.
Built IoT farm demo server with Apache, MySQL, Xamarin, and Raspberry Pi.
EDUCATION
National Central University, Master of Network Learning Technology, Taiwan, Sep. 2017 – Jul. 2019
Kinki University, International exchange students of Computer Science, Japan, Sep. 2015 – Jul. 2016
SUMMARY
I'm a skilled software engineer, experienced in NLP and Data Engineering for over 4 years. I've delivered dependable solutions across commercial, educational, and psychological counseling domains. Expertise lies in deploying stable systems, ensuring valuable and trustworthy development. My background seamlessly integrates data and machine learning for comprehensive solutions.
EXPERIENCE
I Build and improved the Python/JAVA services, including caching service with mongoDB and Redis, monitoring by ELK and import new services/tools to improvement.And as a main engineer to develop the generic Data Service to queries and processing data from various database. establish a CI/CD pipeline to kubernetes for the inner platform to imporving the seculity and stable of the process.
I Led and designed a chatbot service project in EC, using Django and MongoDB. To develop NLU services with Huggingface, PyTorch, and Keras, including intent classification, NER, etc. At the same time, led a junior engineer team to set and complete the tasks, team members including 18 interns and 4 full-time engineers. And I help to prepare the product demo encompassing internal sharing, investor fundraising, and international exhibition in the US.
the role specialized in refining BERT-based NLU models for precise text intent classification and NER Services. I architectured an API server, leveraging Tornado and Redis. deployment with GitLab-CI. At the same time, I integrated ELK for seamless data aggregation and system enhancement, ensuring a robust data lifecycle for training language models.
OTHERS
I contributed to a side project where we developed an elementary school science debate robot using advanced language models and techniques.This robot simulates opposing viewpoints and provides users with adjustment suggestions at the end of the debate. We delved into technologies like RAG and Vector Search. And prompt engineering,utilizing PPO and PEFT for model fine-tuning.
Developed Auto-labeling and ranking base on word-embedding for 6M items in Yahoo! shopping mall.
Built IoT farm demo server with Apache, MySQL, Xamarin, and Raspberry Pi.
EDUCATION
National Central University, Master of Network Learning Technology, Taiwan, Sep. 2017 – Jul. 2019
Kinki University, International exchange students of Computer Science, Japan, Sep. 2015 – Jul. 2016