About

Mert Kahyaoğlu

I'm a full stack software engineer living in Turkey, focusing mainly on engineering for the web and open source. I'm a big fan of continuous learning. I love solving algorithmic puzzles, writing open source code and contributing to open source projects.

Front End Engineer at iyzico
[email protected]

mert-kahyaoglu.com

Skills

Proficient with programming languages such as JavaScript, Python, PHP, Elixir & Go (from proficient to entry).
Prototyped and designed high performance mobile-friendly front-end applications using HTML5, CSS3, ESNext, React & Redux, Angular and jQuery.
Created server-side applications using frameworks in various languages such as NodeJS, Laravel, Flask, Django & Phoenix.
Developed mobile applications using Android SDK, React Native and Ionic.
Developed various software solutions using Git, MongoDB, Redis, MySQL, Docker, AWS, Heroku.
Proficient with multiple operating systems such as OSX, Linux, Windows.

Experience

Front End Engineer at iyzico, Sep 2017 - Present

Working on the front-end team, building high performance web user interfaces with latest EcmaScript features, React, Redux & GraphQL (NodeJS).
Developing a mobile application that customers can register, create application to iyzico, sell their products via iyziLink and receive payments using React Native.
Contributing to public payment apis written in Python & Go.

Full Stack Developer at Oznet, Jul 2016 - Aug 2017

Responsible for technology & product development of the company.
Created a custom CMS from scratch using Laravel, specifically for e-commerce websites. Implemented various features such as blog/content management, product management, detailed cargo management, order management, statistics & reporting, money transfer system.
Built mobile applications for customers for both IOS & Android platforms using hybrid technologies such as React Native & Ionic.
Created commercial websites using Wordpress and developed in-house plugins.
Integrated various automated features for the team to decrease operations load.

Software Engineer Intern at Google, Apr 2016 - Aug 2016

This internship was part of Google Summer of Code 2016 program. I developed a graphical user interface for Jekyll. I worked side by side with mentors from Github. The project is divided into two parts, a Ruby-based HTTP API that handles Jekyll and file system operations, and a front end built with ReactJS.

Software Engineer Intern at Mugla University R&D Department, Jul 2015 - Aug 2015

Contributed to Atom Editor (GitHub's Open Source Text Editor) and developed a real-time chat package for the editor.
Practised JavaScript frameworks such as React, Angular and Ractive.
Made weekly presentations about web development tools (React, Gulp, Jasmine, Less, Webpack).

Education

BS in Computer Engineering, 2012 — 2016

GPA: 3.94/4.00, 1st rank of the university (among ~7000 students), awarded with the High Honor Student Certificate.

Specializations: Web development, data mining, machine learning, programming languages.

Finished English preparatory year with the score of 92/100.

Projects

Jekyll Admin - Official admin panel for Jekyll

A Jekyll plugin that provides users with a traditional CMS-style graphical interface to author content and administer Jekyll sites. The project is divided into two parts. A Ruby-based HTTP API that handles Jekyll and filesystem operations, and a front end built with React & Redux, built on that API.

iyzico Merchant Panel

iyzico Merchant Panel is a single page application for merchants that allows them check out payments, perform transactions such as cancellation and return, export payment reports and more.
The project consists of two parts; the front-end part built with React, Redux & Apollo and NodeJS server for GraphQL that communicates with Java RESTful API.

Atom Chat & Atom Video

Developed a chat package for Atom Text Editor. Used CoffeeScript for the front end, NodeJS for the back end and Socket.io for seamless communication between two.
Developed a video chat package using React.js, Redux and Peer.js that clients talk to each other with P2P.

Twitter Sentiment Analysis for Turkish tweets

Developed a machine learning application using Python.
Used Twitter API (Tweepy) to collect data, cleaned tweets and populated a train data.
Applied Naive Bayes Classification algorithm to classify tweets either positive or negative.
Built a user interface that shows percentages of positive and negative tweets of a user.
Related slides can be found in the Github repo.

Movie Stats - Statistics about top 250 movie of imdb.com.

Collected data using web mining tool Scrapy.
Built a user interface with AngularJS.

You can find more about my projects on my personal website.