Hi, I'm Liang Dai. I'm currently an Engineer at TG Automotive
Group building applications for the
automated production line with some awesome people. I recently graduated from
Pace University.
As a software engineer, I enjoy powering our life by combining my technical knowledge with my
powerful
executive ability to build reliable applications that benefit peoples. I'm a fast learner,
passionate
about new technology. My goal is to build applications that are scalable and efficient.
Besides coding, I'm fascinated by machines and mechanisms. I
have a deep understanding of the
automotive by maintaining my and my friends' cars and motorcycles.
Skills
Languages
JavaScript(ES6)
TypeScript
HTML
CSS/SCSS
JAVA
Python
C++
Arduino
Web & mobile technologies
Angular
Ionic
Cordova
Node.js
REST API
PWA
Android SDK
iOS SDK
Machine Learning
NumPy
Pandas
Beautiful Soup
Tensorflow
Keras
Scikit-learn
NLTK
OpenCV
Tools
GCP
Chrome DevTools
Git & Github
Bash
Tomcat
Postman
Google Colab
MySQL
Experience
TG Automotive Group LLC
Aug 2019 - Current
Engineer
Troy, MI
C++ArduinoOpenCV
Base at the SONIMA Corp., working on Engine block assembly automation project.
Design, develop and implement the GONOGO project, which uses a camera to identify the QR
code of the part to determine whether the first part of the production line is correct.
Implemented the OP400 production line image recognition system upgrade, completed 90 PTR
parts tests, collected and analyzed 9,000 test data, and determined the final program
parameters.
Participated in the technical meeting and quotation meeting of the new beltline project
of the Yanfeng Highland Park plant, and proposed a technical support plan.
Pace University
Jan 2019 – May 2019
Teaching Assistant
New York, NY
Angular 7Ionic 4
Attend the class, troubleshoot and assist the students with their in-class exercise
during the lab session. Weekly assist more than 10 students with their assignments and
questions remotely on
Slack.
Grade and give feedback on 29 students' assignments every week, and summarize students'
common, and comment at the beginning of the next class.
Created and gave a lecture(3h) about the Angular App Architecture, also made the
assignment and quiz on this topic.
School of Law at Pace University
Oct 2017 – May 2018
ITS Student Technician
White Plains, NY
BashWindowsOSMacOS
Assist 10+ users daily by troubleshooting and resolving technical issues on devices.
Maintain computers across several offices on campus. Reimage Windows and Mac OS, write
scripts to configure the OS.
Supervised 2 new student staff, guide them towards professional.
An efficient, mobile and browser friendly Progressive Web Apps, aims to plot a line on
canvas by the math equation. Help to understand the slope and Y Intercept.
A hybrid mobile app that helps explore the world by using Google Vision and Wikipedia
API. Taking any photo of what you're seeing right now, it can be
sightseeing, celebrity even food and more. The app will feed you the WIKI information.
An android app which helps users find and share parking spot. The app using Firebase and
Google
Map API. The project follows the Agile Methodology. My role is the developer in the
team.
The American Chinese United Care Alliance (ACUC) is a newly launched donation campaign to fight against COVID-19. It is operated by 50+ volunteers cross New York.
We have raised more than 5 million dollars in cash or in-kind PPE donations from 157 Chinese American communities and organizations since March.
I'm volunteering worked in the Finance Team and Data Verification Team, responsible for issue invoices and data automation.
It's a desktop application that we built at work, it uses to identify and control the assembly
part which the worker put on the production line. The app uses a camera to get the QR code and
process on computer, then sends a signal to the Arduino board to drive a relay to whether
disable or enable the push button on the production line.
A Bridget Riley style drawing web page, Coding in Angular 6, Using native Canvas API. Integrate
with device accelerometer, give the drawing a smooth nature movement, while moving the device.
An iOS app help to prevent drunk driving. The algorithm based on Horizontal Gaze Nystagmus (HGN)
Test. The app takes a 10s video of user's eye pupil movement and analyzes by math deviation and
TensorFlow CNN model. According to the result, provide options to help user get home safe
without driving.
This is a project for the Deep Learning course, I solve this Diabetic Retinopathy Detection
Kaggle Challenge by using Tensorflow with Inception-v3 CNN-model, result in 74.8% accuracy.
This is a project I'm doing with a phD together, dataset use chromium bugs. This app analyzes
user's bug report then assign to the owner. Using Gensim Word2vec build dictionary, use keras
LSTM train the model, result in 34% accuracy, at last use web crawler as baseline to compare.