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Chun Shan, Wang
A skilled ML engineer with 5 years of experience in deploying NLP-based systems across various domains including education, e-commerce, and psychology. Proficient in service development, model lifecycle management, fine-tuning LLMs and BERT, and creating MLOps environments.
Experienced in building ML services with model fine-tuned, API development, backend development with Python/FastAPI, and frontend development with React. Adept at enhancing product quality through CI/CD, Kubernetes, and performance testing.
EXPERIENCE
Data Engineer, 2022.07 - 2024.10, TSMC
- Modernized Data Processing Infrastructure: Successfully refactored the data processing applications for TSMC factories, transitioning from a traditional VM system to Apache Airflow on Kubernetes (K8S). The revamped system supports over 200 concurrent jobs and manages more than 500 processes in each fab.
- Scalable S3 Solutions: Engineered a S3-compatible storage solution using a MinIO cluster, accommodating over 50 online and offline applications across two fabs. Integrated a CI/CD pipeline to enhance the security and stability of maintenance operations, ensuring seamless updates and minimal downtime.
- Generic Data API Framework: Developed a versatile data API framework designed to query and process data from multiple databases. This framework improved query performance by 12% and featured a configurable structure that reduced manual processing time by 75%.
- Advanced Caching Mechanisms: Implemented advanced caching systems using MongoDB and Redis, achieving a reduction in query load by over 90%. The caching solutions were monitored and maintained using the ELK stack, ensuring high availability and performance.
NLP Engineer, 2021.04 – 2022.02, Ubestream.
- 1. Developed NLU services for Taipei Metro: creating intelligent ticket agents that support ticket purchases, local tourism guidance, and Q&A. Utilized Huggingface, PyTorch, and Keras, and achieved a 92% success rate with 100+ concurrent users in load testing.
- Led the development of a configurable conversational agent: for the Taichung government’s Maple Garden business district, streamlining new store setup from 1 month to 3 days. The system was tested with 150 concurrent users, achieving 90% unit test coverage.
- Prepared product demonstrations: for internal presentations, investor fundraising, and international exhibitions, delivering over five public demos in Taiwan and internationally.
AI Developer, 2019.07 – 2021.04, Silkrode
Developed an advanced intent classification system leveraging BERT, created a Tornado-based API, and optimized overall system performance. The system efficiently manages over 22 types of intents and 12 types of entities.
Deployed natural language understanding (NLU) services across web, Line, and Facebook platforms via API, incorporating over 75+ rule-based preprocessing techniques.
Enhanced system performance and monitoring using the ELK stack and JMeter, successfully testing with over 300 concurrent users and enhancing the architecture and ensuring API response times remain under 200 milliseconds.
OTHERS
- LLM Research, 2023 – now, Side Project
I contributed to a project developing an advanced science debate robot for elementary schools. Using Llama 3, it provides NLP tools for summarizing discussions, retrieving references, simulating opposing viewpoints, and offering personalized suggestions. Our tech stack includes RAG, vector search with Redis, and prompt engineering, finetuned with PPO and PEFT. The project supported 90+ students across four schools, with 50+ teachers involved in testing. The robot demonstrated a 16% higher confidence in practical application than GPT-3.5.
- Engineer Intern, Jul. 2018 – Sep. 2018, Yahoo!
Developed Auto-labeling and ranking based on word embedding for 6M items in the Yahoo! shopping mall.
EDUCATION
National Central University, PHD of Network Learning Technology, Taiwan, Jul. 2024 - now
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
National Central University, Bachelor，Department of Information Management, Taiwan, Sep. 2013 – Jul. 2017
Chun Shan, Wang
A skilled ML engineer with 5 years of experience in deploying NLP-based systems across various domains including education, e-commerce, and psychology. Proficient in service development, model lifecycle management, fine-tuning LLMs and BERT, and creating MLOps environments.
Experienced in building ML services with model fine-tuned, API development, backend development with Python/FastAPI, and frontend development with React. Adept at enhancing product quality through CI/CD, Kubernetes, and performance testing.
EXPERIENCE
Data Engineer, 2022.07 - 2024.10, TSMC
- Modernized Data Processing Infrastructure: Successfully refactored the data processing applications for TSMC factories, transitioning from a traditional VM system to Apache Airflow on Kubernetes (K8S). The revamped system supports over 200 concurrent jobs and manages more than 500 processes in each fab.
- Scalable S3 Solutions: Engineered a S3-compatible storage solution using a MinIO cluster, accommodating over 50 online and offline applications across two fabs. Integrated a CI/CD pipeline to enhance the security and stability of maintenance operations, ensuring seamless updates and minimal downtime.
- Generic Data API Framework: Developed a versatile data API framework designed to query and process data from multiple databases. This framework improved query performance by 12% and featured a configurable structure that reduced manual processing time by 75%.
- Advanced Caching Mechanisms: Implemented advanced caching systems using MongoDB and Redis, achieving a reduction in query load by over 90%. The caching solutions were monitored and maintained using the ELK stack, ensuring high availability and performance.
NLP Engineer, 2021.04 – 2022.02, Ubestream.
- 1. Developed NLU services for Taipei Metro: creating intelligent ticket agents that support ticket purchases, local tourism guidance, and Q&A. Utilized Huggingface, PyTorch, and Keras, and achieved a 92% success rate with 100+ concurrent users in load testing.
- Led the development of a configurable conversational agent: for the Taichung government’s Maple Garden business district, streamlining new store setup from 1 month to 3 days. The system was tested with 150 concurrent users, achieving 90% unit test coverage.
- Prepared product demonstrations: for internal presentations, investor fundraising, and international exhibitions, delivering over five public demos in Taiwan and internationally.
AI Developer, 2019.07 – 2021.04, Silkrode
Developed an advanced intent classification system leveraging BERT, created a Tornado-based API, and optimized overall system performance. The system efficiently manages over 22 types of intents and 12 types of entities.
Deployed natural language understanding (NLU) services across web, Line, and Facebook platforms via API, incorporating over 75+ rule-based preprocessing techniques.
Enhanced system performance and monitoring using the ELK stack and JMeter, successfully testing with over 300 concurrent users and enhancing the architecture and ensuring API response times remain under 200 milliseconds.
OTHERS
- LLM Research, 2023 – now, Side Project
I contributed to a project developing an advanced science debate robot for elementary schools. Using Llama 3, it provides NLP tools for summarizing discussions, retrieving references, simulating opposing viewpoints, and offering personalized suggestions. Our tech stack includes RAG, vector search with Redis, and prompt engineering, finetuned with PPO and PEFT. The project supported 90+ students across four schools, with 50+ teachers involved in testing. The robot demonstrated a 16% higher confidence in practical application than GPT-3.5.
- Engineer Intern, Jul. 2018 – Sep. 2018, Yahoo!
Developed Auto-labeling and ranking based on word embedding for 6M items in the Yahoo! shopping mall.
EDUCATION
National Central University, PHD of Network Learning Technology, Taiwan, Jul. 2024 - now
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
National Central University, Bachelor，Department of Information Management, Taiwan, Sep. 2013 – Jul. 2017