H. Tugkan Kibar

React Native, Full Stack Developer
Reply rate:
Hourly ($/hour)
24 years old
Istanbul, Marmara, Turkey
3 years
+90 - |- Hasan Tuğkan Kibar EMPLOYMENT 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 energy consumption. EDUCATION 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 exchange. CERTIFICATES Jan 2016 Sept 2017 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. TECHNOLOGIES ADVANCED + C + C# + Javascript + Java + ReactJS + Linux + React Native + .NET Core + Node.JS + SQL MEDIUM + Python + C++
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