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最も簡単で効果的な採用プラン
80万枚以上の履歴書を検索して、率先して求人応募者と連絡をとって採用効率を高めましょう。何百もの企業に選ばれています。
- 検索結果をすべて閲覧
- 新しい会話を無制限に始められます
- 有料企業にのみ履歴書を公開
- ユーザーのメールアドレスと電話番号を確認
Definition of Reputation Credits
Education
2020 - 2022
National Cheng Kung University
Master of Electrical Engineering (Program of Computer Science)
Ce-Kuen Shieh's lab
Focus on Parallel/Distributed Systems
2016 - 2020
National Sun Yat-sen University
Bachelor of Computer Science Engineering
Work Experience
Software Engineer Intern
HP
July 2021 - September 2021
Taipei, Taiwan
Develop two programs from scratch in 10 weeks including:
1. Big Data collection tool (C++)
◾ collect 80000+ device information in 5 seconds
2. Production information prediction system (Python)
◾ leverage state-of-the-art Machine Learning algorithms
◾ Database connection
Award/Experience
Microsoft FLAML Contributor
(Open Source Project)
A fast and lightweight autoML library developed by Microsoft Research
Kaggle Competition Top 0.1%
Predict Future Sales
Rank: 20/12544
A regression task in structured data
2020 AICUP Top 7%
Medical data De-identification
Rank: 36/531
A Name Entity Recognition task in medical conversation data
Collegiate Programming Examination Top 5%
Date: 2018/05/29
Problems solved: 4/7
Rank: 110/2181
Skills
Programming Languages
Python
C/C++
Java
C#
R
Machine/Deep Learning
Neural Network
Transfer Learning
Ensemble Learning
Self-Training
Computer Vision
Image Process
Image Classification
Object Detection
Object Tracking
Hadoop Docker OpenCV tensorflow Scikit-Learn Windows API Ubuntu git
Projects
Waymo dataset object detection/tracking
◾ Object Detection: fine tune pretrained models from tensorflow zoo include SSD ResNet and CenterNet HourGlass architectures.
◾ Object Tracking: Implement a custom object tracking API including features like deepsort and non-maximum suppression.
Vehicle data analytics Android application
◾ Real-time data display
◾ Real-time outlier detection
◾ User Database
Image Process/Classification
◾ Implement image process algorithms from scratch
◾ leverage OpenCV API in image/video process
◾ Train high accuracy models over 7+ image datasets
◾ Strong knowledge in Transfer learning and Neural Network training details
Socket Programming
◾ Multi-user chat room
◾ Unzip file server (Huffman Coding)
◾ TCP congestion control simulation
Education
2020 - 2022
National Cheng Kung University
Master of Electrical Engineering (Program of Computer Science)
Ce-Kuen Shieh's lab
Focus on Parallel/Distributed Systems
2016 - 2020
National Sun Yat-sen University
Bachelor of Computer Science Engineering
Work Experience
Software Engineer Intern
HP
July 2021 - September 2021
Taipei, Taiwan
Develop two programs from scratch in 10 weeks including:
1. Big Data collection tool (C++)
◾ collect 80000+ device information in 5 seconds
2. Production information prediction system (Python)
◾ leverage state-of-the-art Machine Learning algorithms
◾ Database connection
Award/Experience
Microsoft FLAML Contributor
(Open Source Project)
A fast and lightweight autoML library developed by Microsoft Research
Kaggle Competition Top 0.1%
Predict Future Sales
Rank: 20/12544
A regression task in structured data
2020 AICUP Top 7%
Medical data De-identification
Rank: 36/531
A Name Entity Recognition task in medical conversation data
Collegiate Programming Examination Top 5%
Date: 2018/05/29
Problems solved: 4/7
Rank: 110/2181
Skills
Programming Languages
Python
C/C++
Java
C#
R
Machine/Deep Learning
Neural Network
Transfer Learning
Ensemble Learning
Self-Training
Computer Vision
Image Process
Image Classification
Object Detection
Object Tracking
Hadoop Docker OpenCV tensorflow Scikit-Learn Windows API Ubuntu git
Projects
Waymo dataset object detection/tracking
◾ Object Detection: fine tune pretrained models from tensorflow zoo include SSD ResNet and CenterNet HourGlass architectures.
◾ Object Tracking: Implement a custom object tracking API including features like deepsort and non-maximum suppression.
Vehicle data analytics Android application
◾ Real-time data display
◾ Real-time outlier detection
◾ User Database
Image Process/Classification
◾ Implement image process algorithms from scratch
◾ leverage OpenCV API in image/video process
◾ Train high accuracy models over 7+ image datasets
◾ Strong knowledge in Transfer learning and Neural Network training details
Socket Programming
◾ Multi-user chat room
◾ Unzip file server (Huffman Coding)
◾ TCP congestion control simulation