+90 - |-
Hasan Tuğkan Kibar
Nov 2016 - present
S O F T W A R E E N G I N E E R – House of Apps
+ TatilBudur Mobile Application: TatilBudur is a major tour, hotel and flight
aggregator similar to Expedia. I lead the team that developed its next
and written from scratch version, 2.0.0. Development was done using
React Native and MobX.
+ Milliyet Emlak Mobile Application: Milliyet Emlak is a leading real estate
aggregator. During the project we have created a new mobile
application using React Native. Currently, Android version of the app is on
stores. Rest is still and ongoing process.
+ TatilBudur Mobile Application: TatilBudur is a leading tour, hotel and flight
aggregator similar to Expedia. We are currently working on this project
and developing it with React Native.
Mar 2016 - Sep 2016
S O F T W A R E E N G I N E E R – Nomad Commerce
+ Shopsurf: Shopping based social aggregator. It was first developed on iOS
and I was working for the backend with .NET MVC. However later the it
became a React Native project.
Jul 2015 - Aug 2015
Feb 2014 – Feb 2015
S O F T W A R E E N G I N E E R I N G I N T E R N – Yildiz Technical University
+ Image Processing Toolkit w/ CUDA: We developed several image
processing algorithms both sequentially and in parallel using CUDA and
OpenCV. We turned it into a toolkit and compared the performance
differences between sequential and parallel versions of algorithms.
S T U D E N T A S S I S T A N T – Yildiz Technical University
+ Sensor Supervisor: Developed an Android application to set any sensor
with arbitrary sampling rates. Afterwards, we sampled data for each
sensor and worked on the relationship between sensor sampling rates and
2013 – 2017
C O M P U T E R S C I E N C E A N D E N G I N E E R I N G – Yildiz Technical University
+ Bachelor's degree.
+ Semisupervised Learning for Sentiment Analysis: First senior project.
Developed a project to retrieve tweets from twitter and analysing them to
bin them in three seperate categories; POSITIVE, NEGATIVE, NEUTRAL. It
was a midterm project and was done using Java and Zemberek. Our
main focus was using Semisupervised learning methods to increase the
likelihood of success.
2013 – 2017
+90 - |-Fitness Marketplace Application: Developed a fitness marketplace
application with backend, admin panel and mobile. Used technologies
were ReactJS, .NET Core Web API and React Native. It consisted of
creating polymorphic structures in order to accommodate different
workout types. It was my second and last senior project.
C O M P U T E R S C I E N C E A N D E N G I N E E R I N G – Högskolan I Skövde
+ I studied in Skövde, Sweden for 6-7 months as part of the Erasmus+ student
C E F R C 2 A D V A N C E D – English
A K B A N K C O D E H A C K A T H O N ( 1 S T P L A C E ) – Developed a collaborative
finance application using React Native and NodeJS with a group of 3.
+ React Native
+ .NET Core