Engineering Assistant

DAWEI WANG

Edison, NJ C: 732-***-****

***********@*****.*** https://github.com/DavidShield

EDUCATION BACKGROUND

Rutgers University, the state university of New Jersey Sep. 2016 – May. 2018

• Master of Electronic and Computer Engineering GPA: 3.85

• Courses: Computer Architecture, Parallel and Distributed System, Data Structure and Algorithm, Introduce to Artificial Intelligence. Programming Finance of C++. Security Engineering, Software Engineering, Convex Optimization for Engineering Applications.

Beihang University, Beijing, China Sept. 2012 – July. 2016

• Bachelor of Electrical and Electronic Engineering PROFESSIONAL EXPERIENCES

Event Recommendation Web Application System. Apr. 2018 – June. 2018

• Developed an interactive web application to display events near a user’s location, allow users set favorite events and recommend events by classifying the event category (HTML, CSS and JavaScript).

• Created two deployment environments: Java servlets with RESTful API to handle HTTP requests and responses; Spring MVC gradle with annotation of ‘RestController’ and ‘Controller to handle both RESTful and normal.

• Used MySQL and NoSQL database (MongoDB) to save data and using TicketMaster API to finding events.

• Deployed the whole system both on a local machine and AMAZON EC2 which can handle 150 queries per second tested by Apache JMeter.

Android App Development Experience Jan. 2018 – May.2018

• Self-developed random rules’ poker card game.

• Android App Development with Android 7 Nougat by cloning real most popular apps including Instagram, Uber and Flappy Bird and Twitter individually.

• Used both Parse Server on Amazon EC2 and Firebase to save users’ names, images and information.

• Used libGDX to generate game Bunny Bird, a game like “Super Mario” and Flippy Bird.

• Integrated Google Map API in Uber; Login & Signup System in Instagram, Uber and Twitter. School of Engineering, Rutgers, Research Assistant. Jun. 2017 – Aug. 2017

• Did data analyzing in Python and Matlab under guidance of Prof. Ivan Marsic.

• Implemented classification and clustering methods (n-grams, K-Means and K-Medoids) to do patient cohorts analysis.

• Visualized to compare the commons and difference of each groups.

• Helping hospital making faster resuscitation decision according to the analysis.

• Published a paper on IEEE International Health Informatics: Process Mining and Trauma Resuscitation Patient Cohorts Rutgers, stock Portfolio Display and price predict Web system. Mar. 2017 – May. 2017

• Leader of the team, built web service backend using Python flask and MySQL to store stock info.

• Integration of real-time stock price update(from Yahoo finance API)and presented as line charts.

• Applied machine learning methods (SVM, curve-fitting and ANN) to predict stock’s price with a precision over 70%.

SKILLS

• Proficient in Java, SQL; Good in Matlab, C++ and python; Proficient in algorithm and data structure.

• Full stack web design ability. Spring MVC, HTML, CSS and JavaScript. Experience of J2EE and Flask.

• Computer Architecture: pipeline, memory hierarchy, distributed system, parallel computing etc.

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