WONMOOK JUNG

Angestellt, Software Engineer, LG Electronics

Südkorea

Fähigkeiten und Kenntnisse

Information retrieval
Node.js
Java
Big Data
Search Engine
Database Systems
Flash Memory
DBMS
C++
C
Python
Android Development
Hadoop
Apache Spark
Hive
HBase
IFTTT
Rules Engines
RabbitMQ
Design Patterns
Software Development
MongoDB
MySQL
RESTful WebServices
AngularJS
Java Spring Framework
Linux
Git
AWS

Werdegang

Berufserfahrung von WONMOOK JUNG

  • Bis heute 10 Jahre und 10 Monate, seit Sep. 2013

    Software Engineer

    LG Electronics

    : Full software lifecycle experience and full stack development. : Developed back-end server with AWS and provided RESTful API for cloud service on connected car in Node.js. : Developed learning engine using Machine Learning algorithms in Java for intelligent system of smart car infotainment. : Performed multiple data cleaning and preprocessing for raw driving data in python. : Developed driving log data visualization dashboard using Node.js.

  • 2 Monate, Juli 2013 - Aug. 2013

    Research Intern / Big Data Engineer

    NSSolutions

    - Comparing and verifying Hadoop Distribution (Cloudera, Hortonworks, MapR). - Performed benchmark using "HiBench",which is Big Data benchmark suite, on Cloudera(CDH4), MapR(M5). - Provided comprehensive comparison report among Cloudera, Hortonworks, and MapR.

  • 2 Jahre und 1 Monat, Sep. 2010 - Sep. 2012

    Co-founder / Software Engineer

    Alamter

    - Founding Member - Developed social networking service 'Soundig' that shares music playlists as a software engineer responsible for Android application and back-end server implementation with Spring. - Developed daily gossip social networking service 'VSToday' as a software engineer responsible for Android application and back-end server implementation.

Ausbildung von WONMOOK JUNG

  • 2 Jahre und 2 Monate, Aug. 2011 - Sep. 2013

    Computer Science

    Yonsei University

    1. Building high-performance inverted index maintenance strategy on flashSSDs for search engine. 2. Developed MapReduce programs to analyze listening pattern of lastfm users. 3. Mining social networks such as Twitter, Facebook to discover user behavior patterns.

  • 8 Monate, Jan. 2010 - Aug. 2010

    Computer Science

    Fachhochschule Wiener Neustadt

    Exchange Semester

  • 6 Jahre und 6 Monate, März 2005 - Aug. 2011

    Computer Science

    Yonsei University

Sprachen

  • Englisch

    Fließend

21 Mio. XING Mitglieder, von A bis Z