Esref Ozturk

A web application for playing chess that runs GNUChess in the background.

Technology Stack: Python, Django, JavaScript, Socket.IO

I have written a book chapter about software-defined network security.

Abstract: The future networks are expected to lead a hyper-connected society with the promise of high social and economic value. The goal is to solve today's network problems and provide adequate security. Thus, future networks require a flexible infrastructure that is secure against cyber attacks. Software-defined networking (SDN) can be considered as one of the building blocks of upcoming networking technologies.

In this chapter, the limitations of today's networks are first presented. Then, solutions to secure the networks with SDN components are given. This concept is referred to as “SDN for Security.” While SDN facilitates securing networks in general, it introduces additional challenges, mainly, the vulnerabilities of the SDN components such as the controller have to be addressed. Security for SDN aims at securing SDN assets and is discussed in the sequel. After reading this chapter, readers will obtain a comprehensive overview of the limitations of traditional networks, such as how SDN overcomes those limitations and the security issues thereof.

I developed both back-end and front-end of the website from scratch. I also set up a nano server by myself to handle transactions and developed a dedicated transaction system for this website which was basically a primitive coin exchange system.

Technologies: Python, Django, Nano, Vue.js, Semantic UI, MySQL

Here, I developed a system where hospital staff can manage the content displayed on the screen throughout the hospital. The system also had the capability to give directions to patients.

Technologies: Python, Django, Django REST Framework, Angular, PrimeNG, MySQL

I have worked on a project for creating Crypto Data APIs. Data includes chain metrics like circulating supply and exchange metrics like volume data.

Technologies: Python, AWS (Lambda, CloudWatch, Redshift, S3, Kinesis Firehose, EC2), Crypto Exchange APIs, Blockchain Nodes

I've worked on the maintenance and redevelopment of existing Equine Fitness Tracker apps for iOS and Android.

Technologies: Android, iOS, Java, Objective-C

This is a personalized sleep tracking and analyzing system that focuses on optimizing people's sleep.

Technologies: Deep Learning, Machine Learning, Big Data, Python, Django, JavaScript, Android, Arduino, Raspberry Pi

This is a kernel module that provides multiple clipboard capabilities using X11 on Debian-based operating systems.

Technology Stack: C, Kernel Hooks, Python

This classifies user comments in social media groups with opposing views. The goal of this project is classifying user comments into social media groups with opposing views. In the scope of this project, comments on Turkish and English pairs of Facebook pages are classified with decurrent neural networks and convolutional neural networks.

Technologies: Deep Learning, LSTM, CNN, Keras, Python, Django

I added an authentication layer to QR code encoding and decoding parts. It prevents man-in-the-middle attacks.

Technologies: Python, Cryptography, Asymmetric Key Encryption, RSA

I developed an application for Windows and Mac OS to add the table of contents bookmarks to PDFs automatically. I also developed a packaging system for both Windows and Mac OS.

Technologies: Python, wxPython, PDFMiner, PyPDF2

I developed a mobile application, called Photicon that detects what emotion is on your face and filters your photo by adding related emojis. It also gives a score for the emotion showing on your face. You can get great filters with emojis that shows your current emotion.

You can see your dominant emotion emojis and the percentage of each emotion. It eight different emotion categories.

Photicon detects the following emotions: happiness, sadness, fear, anger, surprise, disgust, contempt, and neutrality.

Photicon lets you use photos that contain more than one face. Get a photo of a group of people and let the Photicon handle it.

Technologies: iOS, Swift, Microsoft Emotion API

Wubble is a movie-themed social network built for Android.

Wubble has a Twitter-like user interface, where you can follow other users, send Wubbles, and read their Wubbles. You can share your thoughts about a movie via Wubble. You can follow people, read, like, dislike their Wubbles. You can start a discussion about a movie by commenting one of your friends Wubbles and see movie scores from different websites such as IMDB, Rotten Tomatoes, and Metacritic.

Technologies: Android, Java, Parse, Rotten Tomatoes, TMDb, OMDb

Color Crunch is the simplest but the hardest game. All you have to do is match the colors with their names in a limited amount of time.

Technologies: Android, Java

This is a casual arcade-type game. Tap the right colored buttons when the cubes are in the middle of the rectangle.

Technologies: iOS, Swift

I developed a website that shows off a room's assets (chair, table, and so on) using visualizations. A lambda function gets raw data from AWS S3 bucket and returns visualization data which is used by the static web page.

Technologies: AWS, Python, HTML, CSS, JavaScript, PowerBI, AWS Lambda, AWS ELB, AWS S3

I developed a web page for companies to manage their devices (computers, monitors, and so on). They can import users from Google Suite, then assign devices to them. They can also easily track all operations of devices on a dashboard.

Technologies: AWS, Python, Django, DRF, React, Docker, PostgreSQL