This document is a resume for Yiğit Aras TUNALı, a senior computer science student from Sabancı University in Istanbul, Turkey. His interests include artificial intelligence, machine learning, computer vision, theoretical computer science, compilers, parallel programming, and cryptography. He has internship experience in software engineering and has worked on projects involving plant disease identification using deep learning and studying automata and finite state machines. His skills include programming in various languages as well as martial arts, competitive coding, and open source contributions.

1. Yiğit Aras TUNALı
 linkedin.com/in/yigitarastunali  github.com/yigitaras
 +90 532 524 57 62  eytunali94@gmail.com  yigittunali@sabanciuniv.edu
 Gazievrenos Caddesi Andelip Sokak Yeşilköy 9/1, Bakırköy/İstanbul
Senior Computer Science and Engineering student whose main interests are Artificial Intelligence,Machine Learning and Compu-
ter Vision. In my free time I try to contribute to Open Source and pursue my other interests such as Theoretical CS, Compilers,
Parallel Programming, Cryptography and tinker with Linux systems, such as Raspberry pi.
 EDUCATION
2019 Sabancı University
Bachelor’s Degree in Computer Science and Engineering, İstanbul/TURKEY
2013 Österreichisches Sankt Georg Kolleg
Diploma focusing on Science and Mathematics, İstanbul/TURKEY
 EXPERIENCE
July 2017 Software Engineering Intern, GAZDAY ENERGY CONSULTANCY AND INFORMATION SERVICES, Turkey
August 2017 ∠ Worked on a Web Application regarding the Energy Industry
∠ Tasked with both Front-end and Back-end development
∠ Used Python to write scripts for web scraping ,data processing and storing
∠ Technologies used;
C# Visual Studio 2012 .NET MVC Core Entity Framework Core MSSQL HTML5/Razer Python3
July 2018 Software Engineering Intern, AMADEUS IT GROUP, Turkey
August 2018 ∠ Worked on a back-end software which was used to communicate with a Web-Service
∠ Achieved faster testing by storing some parts of requests and their answers
∠ Stored requests and answers were used for future repeated tests
∠ Reduced the wait time from the Web-Service and decreased the total test time
∠ Technologies used;
Visual Studio 2017 C# .NET MVC Couchbase Team Foundation Server
 PROJECTS & RESEARCH
PLANT DISEASE IDENTIFICATION USING DEEP LEARNING SEPTEMBER 2018 - CURRENT
Sabancı University,İstanbul/TURKEY
Development of Convolutional Neural Networks (CNNs) for Plant Disease Identification and a text based search interface.
Plant Village Data set is used and enhanced by additional Datasets and data acquired by web scraping.
Python3 Deep Learning Web Scraping Computer Vision Sentimental Analysis Pytorch Tensorflow
A STUDY ON AUTOMATA AND FINITE STATE MACHINES SEPTEMBER 2018 - CURRENT
Sabancı University, İstanbul/TURKEY
Aim of the project, is to carry out a research on Automata and Finite State Machines, which are used as formal notations
to model the behavior of systems at an abstract level. Main focus of the project right now is to generate FSM’s with long
synchronizing sequences,using Genetic Algorithms.
C++ Homing Sequences Synchronizing Sequences Automata and Finite State Machines Graph Theory
 SKILLS & INTERESTS
Programming : C,C++,Python,Rust,Go,MATLAB,Bash Scripting,Linux, Git, LATEX, SQL
Languages : Turkish(Native),English(Fluent),German(Advanced),Dutch(Basic),Czech(Basic)
Interests & Hobbies : Blue Belt BJJ Practitioner/Competitor (2013 - Current), Competitive Coding , E-Learning,
Chess, Volunteer Work, Open Source Projects, Mathematics, Debating, Crossfit, Psychology