My dream is to be one of the contributors of world-class software which really facilitate people's daily life. When I graduate from NTHU, I learn android starting from a famous smart phone manufacture. In that period, in addition to the android framework, I further have experience to co-work with product manager and UX designer to come up with great software that million of user need. Moreover, I have experience in the past two year to co-work with oversea team in Europe to develop the world-class navigation software which is now the leading automative navigation system in cars around the Europe.
java、Kotlin、C++、Android、machine learning、computer vision、python
[email protected]
An Android launcher that design for kids between 5 to 10 years old. It's a safe playground for kids to use. Parents can pick applications their kids can access under Kids Mode . Moreover they could set play time for their kids to use, preventing them from playing smart phone for a long time.
Responsibility:
- Design and implement features
- unit test
This launcher is pre-loaded in ASUS zenfone and its download and update counts has been over 10,000,000 in Google Play Store. It’s a highly customised launcher for users. In this application, I have involved in developing features including the following ones:
- ZenUI Now: a widget in Android home screen that show various news according to your favourite publisher. With this feature, user can read online news directly without opening browser or even downloading news apps.
- ZenUI Show: User can share their customized home screen as screenshot to social network.
- Badge: Unread badge count at icons such as Facebook, Gmail
Responsibility:
- Develop the above features
- Develop different size of layouts for Android tablet or phone.
- Improve memory usage in ZenUI Launcher using Android Studio or LeakCanary.
Skills:
- Java
- LeakCanry, Lint, Android hierarchy viewer, MAT, Infer
In order to solve the problem that if we forgot to bring our identification card, we cannot enter the office. We implement a face recognition system (Face Detection、Face Embedding Generation、Classification) in front of the entry in our office.
Responsibility:
Skills:
In the second stage of face recognition, in order to reduce the cost of setting up network or pc (with GPU), we move the system from PC to Raspberry pi with Intel Movidius NCS, which is used to speed up the inference speed on embedded system.
Responsibility:
- Transform tensorflow model to NCS graph
- Improve the performance of system
Skills:
- NCS sdk
- Python
- Docker
Awarded by Yuan Ze University (2009)
Awarded by Yuan Ze University (2009)
Awarded by Cathay Charity Foundation (2013)
My dream is to be one of the contributors of world-class software which really facilitate people's daily life. When I graduate from NTHU, I learn android starting from a famous smart phone manufacture. In that period, in addition to the android framework, I further have experience to co-work with product manager and UX designer to come up with great software that million of user need. Moreover, I have experience in the past two year to co-work with oversea team in Europe to develop the world-class navigation software which is now the leading automative navigation system in cars around the Europe.
java、Kotlin、C++、Android、machine learning、computer vision、python
[email protected]
An Android launcher that design for kids between 5 to 10 years old. It's a safe playground for kids to use. Parents can pick applications their kids can access under Kids Mode . Moreover they could set play time for their kids to use, preventing them from playing smart phone for a long time.
Responsibility:
- Design and implement features
- unit test
This launcher is pre-loaded in ASUS zenfone and its download and update counts has been over 10,000,000 in Google Play Store. It’s a highly customised launcher for users. In this application, I have involved in developing features including the following ones:
- ZenUI Now: a widget in Android home screen that show various news according to your favourite publisher. With this feature, user can read online news directly without opening browser or even downloading news apps.
- ZenUI Show: User can share their customized home screen as screenshot to social network.
- Badge: Unread badge count at icons such as Facebook, Gmail
Responsibility:
- Develop the above features
- Develop different size of layouts for Android tablet or phone.
- Improve memory usage in ZenUI Launcher using Android Studio or LeakCanary.
Skills:
- Java
- LeakCanry, Lint, Android hierarchy viewer, MAT, Infer
In order to solve the problem that if we forgot to bring our identification card, we cannot enter the office. We implement a face recognition system (Face Detection、Face Embedding Generation、Classification) in front of the entry in our office.
Responsibility:
Skills:
In the second stage of face recognition, in order to reduce the cost of setting up network or pc (with GPU), we move the system from PC to Raspberry pi with Intel Movidius NCS, which is used to speed up the inference speed on embedded system.
Responsibility:
- Transform tensorflow model to NCS graph
- Improve the performance of system
Skills:
- NCS sdk
- Python
- Docker
Awarded by Yuan Ze University (2009)
Awarded by Yuan Ze University (2009)
Awarded by Cathay Charity Foundation (2013)