Avatar of 吳東遠.

吳東遠

Android Engineer
曾在半導體業擔任Android Software Engineer,主要負責開發Android Fingerprint HAL以及Android Applications的工作,曾過擔任中日韓Project Leader。
Logo of 滙訊科技有限公司.
滙訊科技有限公司
國立成功大學
Taipei, 台灣

Skills

Android
JAVA
C++
C
Bash scripting
Python
Linux Shell
Kotlin
Git

Languages

Chinese
Native or Bilingual
English
Beginner

Work experiences

Logo of 滙訊科技有限公司.

Android Software Engineer

滙訊科技有限公司
Full-time

Feb 2021 ~ Present
Integrated Video codec to Android platform. Customized Android Camera features (HAL, kernel). Customized Android Sensor features (HAL, kernel). Developed Android Application to automated test. Integrated Third-party framework and library. Built Gitlab CI/CD that helps internal members to build, test, and validate the code.

Android Software Engineer

EgisTec
Full-time

Mar 2017 ~ Feb 2021
4 yrs 0 mos
Developed Android fingerprint HAL that integrates with Qualcomm/MTK platforms. Developed Android applications that enable internal members to test, validate products, and demo for customers. Developed swipe enrollment that helps customers improve the user experience of the product. Implemented a new calibrated flow to reduce the FAR (False Acceptance Rate) by 50%. Implemented new interrupt flow to improve power consumption by reducing 20% of CPU usage. Built internal tools that help the SDK team analyze images. Built Gitlab CI/CD that helps the SDK team build, test, and validate the code.

Android BSP Engineer

Arima Communication

Nov 2015 ~ Mar 2017
1 yr 5 mos
Schematic review: Proximity sensor, Light sensor, Accelerometer, Compass. Integrated Sensor driver to the Qualcomm and MTK platforms. Developed sensor calibration flow that improves the quality of mass production. Developed Automatic Light Control in frameworks that help customers improve user experience. Implementing features according to customer requirements. Knowledge of Android HAL. Knowledge of Android Frameworks.

Educations

國立成功大學

Master’s Degree
電腦與通訊

2013 - 2015
Description
我在國立成功大學電腦與通訊所的電腦與網路組詹寶珠實驗室完成碩士學位。 論文研究主題是"應用自體螢光於口腔頰黏膜癌和舌癌之臨床篩檢"。 將組織自體螢光影像的特徵輸入機器學習中的支持向量機(SVM)建立模型,用於篩檢口腔癌。 參與台達電產學合作計畫,開發了口腔癌檢測儀器(使用DSP和CMOS Sensor),並在台達電聯合研發計畫的成果展上展出。

國立台北科技大學

Bachelor’s Degree
電機工程系

2008 - 2013
Description
專題研究主題是ZigBee定位,並在專題比賽中獲得獎項。
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