CakeResume 找人才
最輕量、快速的招募方案，數百家企業的選擇
搜尋履歷，主動聯繫求職者，提升招募效率。
- 瀏覽所有搜尋結果
- 每日可無限次數開啟陌生對話
- 搜尋僅開放付費企業檢視的履歷
- 檢視使用者信箱 & 電話
職場能力評價定義
Hung I Hsieh
No.10, Ln. 513, Shenlin S. Rd, Daya Dist Taichung city 42859 Taiwan
M: 0916 660 980
EDUCATION
National Tsing Hua University, Master of Industrial Engineering, Sep 2016 – Jul 2018
Dissertation topic: Develop a Smart Patent Recommendation System with Natural Language
Modules: Natural Language Processing / Statistical Methods / Applications of Artificial Neural Networks
National Cheng Kung University, Bachelor of Industrial and Information Management Sep 2012 – Jul 2016
WORK EXPERIENCE
Chunghwa Telecom, Software Engineer Aug 2018 – Present
• Lead the development of iBobby IOS App which can bind with the smart speaker and connect Restful API to allow user to interact with speaker. Achieve over 14000 downloads on the App Store
• Develop a data warehouse system using Nodejs and MongoDB which stores user’s usage log of iBobby. Analyze user's usage rate in functions to determine which function need to be improved or promoted
• Develop AI voice filter system using Nodejs’s Express framework, JQuery and Mysql which allows podcasters to acquire their subtitle automatically by uploading the audio file to the system
• Use Pandas to build user data automation system which can efficiently organize data into statistical reports, reducing the time to arrange data by an estimated 1.5 hours/week
Side Project, Real-Time Facial Expression Recognition and Style Transfer System Sep 2020 – Dec 2020
• Used image segmentation to detect the mask of user and replace the background with specific picture in real-time
• Detected facial expression of user with CV2 and mini_XCEPTION. Transferred the style of picture by using MSG-Net based on facial expression of user in real-time
COMPETITION EXPERIENCE
ESun Artificial Intelligence Open Challenge 2020 – NLP Competition 4th Place
• Replaced LSTM with the state-of-the-art technology Bert as the backend to develop classification and name tagging model in PyTorch to extract criminal’s name from the news article
• Used web crawler to collect data from the web link provided by the organizer and collect other relevant articles as training dataset
• Deployed model with flask web framework on the Azure platform
Shopee Code League 2021 – Top 30 in Open Category
• Developed address extraction model, using Bert as backbone to build text sequence labelling model to quickly extract key address elements from unstructured addresses provided by customers
• Used Pandas and DFS to construct user data classification system which can efficiently identify unique customer from over 500,000 data within 3 hours
ESun Artificial Intelligence Open Challenge 2021 – Image Recognition Competition Top 10%
• Used EffcientNet as backend in Keras to recognize handwriting documents. Built metric learning vectors with Arcface loss to detect unseen words. Classify over 800 words and unseen word with accuracy 90%
• Through TPU to accelerate the training speed with over five times allows us to try different solutions within the limited game time
• Deployed model with flask web framework on the Google cloud platform
ACTIVITIES
• National Taiwan University Artificial Intelligence Application Program
Studied state-of-the-art deep learning technology through experiments and final project to acquire solid artificial intelligence knowledge
• National Cheng Kung University Club Festival / Vice Coordinator
Organized activities which participated by more than 100 clubs and 3,000 people
• National Cheng Kung University School of Management United Christmas Prom / Coordinator
Coordinated representatives from other departments and led team members to plan and handle activities
Skill
• Languages: Chinese (Native) | English (Fluent, TOEIC 865)
• Software: Python | C# | Java | C++ | Minitab | Objective C | Node.js | JQuery
Hung I Hsieh
No.10, Ln. 513, Shenlin S. Rd, Daya Dist Taichung city 42859 Taiwan
M: 0916 660 980
EDUCATION
National Tsing Hua University, Master of Industrial Engineering, Sep 2016 – Jul 2018
Dissertation topic: Develop a Smart Patent Recommendation System with Natural Language
Modules: Natural Language Processing / Statistical Methods / Applications of Artificial Neural Networks
National Cheng Kung University, Bachelor of Industrial and Information Management Sep 2012 – Jul 2016
WORK EXPERIENCE
Chunghwa Telecom, Software Engineer Aug 2018 – Present
• Lead the development of iBobby IOS App which can bind with the smart speaker and connect Restful API to allow user to interact with speaker. Achieve over 14000 downloads on the App Store
• Develop a data warehouse system using Nodejs and MongoDB which stores user’s usage log of iBobby. Analyze user's usage rate in functions to determine which function need to be improved or promoted
• Develop AI voice filter system using Nodejs’s Express framework, JQuery and Mysql which allows podcasters to acquire their subtitle automatically by uploading the audio file to the system
• Use Pandas to build user data automation system which can efficiently organize data into statistical reports, reducing the time to arrange data by an estimated 1.5 hours/week
Side Project, Real-Time Facial Expression Recognition and Style Transfer System Sep 2020 – Dec 2020
• Used image segmentation to detect the mask of user and replace the background with specific picture in real-time
• Detected facial expression of user with CV2 and mini_XCEPTION. Transferred the style of picture by using MSG-Net based on facial expression of user in real-time
COMPETITION EXPERIENCE
ESun Artificial Intelligence Open Challenge 2020 – NLP Competition 4th Place
• Replaced LSTM with the state-of-the-art technology Bert as the backend to develop classification and name tagging model in PyTorch to extract criminal’s name from the news article
• Used web crawler to collect data from the web link provided by the organizer and collect other relevant articles as training dataset
• Deployed model with flask web framework on the Azure platform
Shopee Code League 2021 – Top 30 in Open Category
• Developed address extraction model, using Bert as backbone to build text sequence labelling model to quickly extract key address elements from unstructured addresses provided by customers
• Used Pandas and DFS to construct user data classification system which can efficiently identify unique customer from over 500,000 data within 3 hours
ESun Artificial Intelligence Open Challenge 2021 – Image Recognition Competition Top 10%
• Used EffcientNet as backend in Keras to recognize handwriting documents. Built metric learning vectors with Arcface loss to detect unseen words. Classify over 800 words and unseen word with accuracy 90%
• Through TPU to accelerate the training speed with over five times allows us to try different solutions within the limited game time
• Deployed model with flask web framework on the Google cloud platform
ACTIVITIES
• National Taiwan University Artificial Intelligence Application Program
Studied state-of-the-art deep learning technology through experiments and final project to acquire solid artificial intelligence knowledge
• National Cheng Kung University Club Festival / Vice Coordinator
Organized activities which participated by more than 100 clubs and 3,000 people
• National Cheng Kung University School of Management United Christmas Prom / Coordinator
Coordinated representatives from other departments and led team members to plan and handle activities
Skill
• Languages: Chinese (Native) | English (Fluent, TOEIC 865)
• Software: Python | C# | Java | C++ | Minitab | Objective C | Node.js | JQuery