Résumé-Viz

Ikwhan Chang

장익환 / 張翼煥
#Web #Cloud #ML #Data #Distributed #Growth #Team

Here is what I’ve been doing so far.

Red: Major Career Changes
Purple: Learned Programming Language
Green: Used Framework
Blue: Learned CS and Web Algorithm and Theory

I’m mostly using those stacks

Languages

Java/Stream API

90%

Javascript/ES6

90%

Python 3

70%

Scala

60%

C/C++/C#

30%

Database

MySQL/Maria DB

90%

Oracle DB

60%

MongoDB

60%

BigQuery

40%

Framework

ReactJS

80%

Node.js/Express

80%

Play! Framework

60%

Spring Framework

50%

Infrastructure & Methodologies

Google Cloud Platform

80%

Docker/Kubernetes

65%

SBT, Git, CI, CD

80%

Big Data & Machine Learning & Data Science

Apache Spark, Cloud AI

30%

PyTorch/Scikit Learn

25%

TensorFlow

20%

Jupyter Notebook

70%

Apache Hadoop, Beam

35%

Here is what I’m using so far as a full-stack engineer for web development.

Here is my startup methodologies (product, engineering point of view)

I established it while I’m doing two startups

I have a BS in Computer Science and now I’m pursuing an MS in Software Management

I’m being a TA in Distributed ML Course at CMU

SCS & ECE Careers Events | Carnegie Mellon School of Computer Science

I’m highly interested in Distributed Cloud Architecture for Big data and ML Pipeline