Chun Shan, Wang 

Phone: +886-910-365-567│Email: [email protected] 

SUMMARY


3+ years of industry experience in the Backend and NLP industry.

Skilled in NLP Model Training and Backend Framework, and has implemented Cloud Service for Chatbot Service, Education, and Psychological Field.

HIGHLIGHTS


  • Restful API Design and Building
  • ML and NLP research with Pytorch, transformer
  • Mandarin conversation analysis

HIGHLIGHTS


  • Dockerizing applications
  • Maintaining system and service on Cloud Platform
  • Working with common tools like Git, Swagger, ...etc

EDUCATION


ILAC, General English Adult, Canada, Oct. 2021 – Feb. 2022

National Central University, Master of Network Learning Technology, Taiwan,  Sep. 2017 – Jul. 2019

Kinki University, International exchange students of Industrial Science and Technology, Japan, Sep. 2015 – Jul. 2016

National Formosa University, Bachelor of Information Management, Taiwan, Sep. 2013 – Jul. 2017

SKILL


Python、Machine Learning、PyTorch、tensorflow、Tornado、MongoDB、Node.js

EXPERIENCE


  • NLU Platform Engineer,  2021.04 – 2022.01, Ubestream.

1. Design the NLP Service for application:

- Using Pytorch and Keras to train the NLU model (intent, similarly, emotion, Ner...etc)

- Implement and maintain the NLU service in docker/docker-compose

- Develop the NLU service API in Tornado

2. Design conversation framework and API to create Chatbot Applications for various fields:

- Design the SaaS platform and create the RESTful APIs with Django

- Create a module to convert the JSON file to an NLU conversation agent.

- Build webhook API for Facebook, Line, and Web Front-end

3. Work for the Government's Information System Projects.

- Design the Question-Answers application for public transportation stations

- Design the Line bot application for shopping areas of a city in Taiwan.

- Setting the milestone for the project and keeping the RD team on the schedule

- Prepare training courses for 18 junior engineers and interns.

  • AI Platform Developer,  2019.07 – 2021.04, Silkrode

1. Design and Implementation of text intent classify system and annotation standard operation procedure: 

- Training an NLU model based on BERT, including the Multi-Intent classification model and NER model. 

- Follow the master-worker architecture to create the API server with Tornado, and build the queue in Redis 

2. Develop and Maintain an NLU Service for Web frontend, Line webhook, and Facebook Chatbot:

- And build the SaaS backend platform for service NLU features. 

- Connect to MySQL and MariaDB 

- Build ELK to collect text content and system log data for research.

- Refract the system to get better performance, then test by JMeter

  • Yahoo! Engineer Intern,  2018.07 – 2018.09, Oath:

As a back-end engineer, participating in the Oath: intern project focused on the Restful API development and DB building. Design a process with TF-IDF, TextRank, and other NLP functions to auto-labeling, ranking, and searching methods for 6000000 items of Yahoo! shopping mall.

Build a demo server for IoT farm project, backend system building with Apache and MySQL, the client platform uses Xamarin to offer iOS and Android APP, connect farm IoT units on the Raspberry Pi.

OTHER EXPERIENCE


  • VOISS│Algorithm Engineer (Freelance), Jan. 2022 – Apr. 2022

1. Building ML Service of User Character for Psychology and Content field partner. 

2. Co-work with Web Team to create various features for Summary, Classify and Content analysis. 

3. Co-op with psychology and content specialists to discuss ideas, design, and create unique features.

  • Yahoo! │Engineer Intern, Jul. 2018 – Sep. 2018

As a back-end engineer, participating in the Oath: intern project focused on the Restful API development and DB building. Design a process with TF-IDF, TextRank, and other NLP functions to auto-labeling, ranking, and searching methods for 6000000 items of Yahoo! shopping mall.

  • IOT Software Developer Intern,  2016.06 – 2016.12, Portwell, Inc.

Build a demo server for IoT farm project, backend system building with Apache and MySQL, the client platform uses Xamarin to offer iOS and Android APP, connect farm IoT units on the Raspberry Pi.

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