謝泓廷 (Vincent Hsieh)

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]

EDUCATION

HsinChu City, R.O.C ; Master in Information System and Application, National Tsing-Hua University — 2011 ~ 2013

GPA: 4.21
TOEIC: 790

Taoyuan City, R.O.C ; B.S in Information Management, Yuan-Ze University — 2007 ~ 2011

GPA: 3.71, School Year Rank (1/55)

WORK EXPERIENCE

Senior Engineer @ TSMC - 2021/04 - 2021/10

Java-based equipment automation system (Java, Kubernetes, SpringBoot)

Software Engineer @ TomTom - 2018/08 - 2021/04

Android-based user interface (Kotlin, Java)
Automated end-to-end testing (Cucumber, Espresso)
Cross platform navigation engine (C++)
Work with oversea team
Scrum team member

Senior Software Engineer @ AMACS (AI Machine learning And Cloud Software) Center, ASUS— 2017 ~ 2018

Computer Vision related projects

Face Recognition System in ASUS

Android Software Developer @ AMAX( ASUS Mobile Application eXperience Center), ASUS — 2014 ~ 2017

ANDROID PROJECT

TomTom GO Navigation - GPS Maps & Traffic Alerts: an onboard navigation software that provide route planning with real-time traffic.

An on board navigation software that provide route planning with real-time traffic. In addition to route planning, it's functionalities includes providing timely voice and visual guidance, searching for rich POIs and warning for speed cameras so that guide the driver to the destination safely.

Responsibility:

Design and implement features
End-to-end automation test, unit-test
Co-work with UX designer, engineer with oversea team in Europe.

Skills:

Kotlin, Java, C++
e2e automation test

Kids Mode: an easy and customized launcher for kids in ZenFone 2

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

ZenUI Launcher: a highly customized launcher which preloaded in Zenfone series

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

ONLINE COURSE

機器學習基石 (Machine Learning Foundations) -Hsuan-Tien Lin
機器學習技法 (Machine Learning Technique)- Hsuan-Tien Lin
Deep Learning Specialization (Coursera) - Prof. Andrew Ag.

Neural Networks and Deep Learning
Structuring Machine Learning Projects
Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
Convolutional Neural Networks

CS231n: Convolution Nerual Networks (Stanford University)

course website : http://cs231n.stanford.edu/2017/
assignment : https://github.com/vincent732/cs231n

COMPUTER VISION PROJECT

Face Recognition System: A real-time face classification using deep learning approach

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:

Collect training images
Reading paper to explore new idea
Improve the flow and performance of system
Try various experiments to validate our idea

Skills:

Python
Tensorflow
SVM, FaceNet, MobileNet
Docker

Face Recognition in Raspiberry pi with Intel Movidius NCS

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

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HONORS

Academic Silver Medal

Awarded by Yuan Ze University (2009)

Yu-Hsiang Scholarship