About

I am Sertan Sezgin Kutlu, a software engineer which is made projects on deep learning systems, data mining, backend development, single-player and multi-player games.

Education Link to heading

  • 2014-2019 Istanbul Technical University - B. Sc. Electronics and Communication Engineering
    • Implemented facial expression recognition systems with Convolutional Neural Network based detectors then compared their performance and accuracy as the graduation project.
    • Developed an auto data mining system to convert the supervised learning process to semi-supervised. After collecting a meaningful amount of data, collected more data from the internet with our data miner over defined keywords and made them add to the dataset after they were labeled automatically.

Certificates Link to heading

Projects and Achivements Link to heading

  • September 2016-June 2017 | Istanbul Technical University ITUNOM UAS Team - AUVSI SUAS 2017 4th place in 52 international teams
    Worked on networking, interoperability system, embedded system programming, geolocation and image processing in the team.

Commercial Experience Link to heading

  • March 2020-January 2023 | Intense Moment Game Studio - Game and Devtool Developer/Co-Founder
    • Worked on gameplay programming, dev-tool development, shader development, game design, 3d modeling.
    • Worked on 45+ mobile games.
    • Managed relations with publisher companies we work with.
    • You can find more details about Intense Moment at here.
  • June 2019-July 2019 | Sarente - Front-End Developer Intern
    • Implemented React components and pages on the ReactJS framework for a gamification project.
    • Designed and implemented a customizable avatar system using Three.js JavaScript 3D graphics library, then integrated the system as a ReactJS component.
  • June 2018-July 2018 | Argela - Android Developer Intern
    • Implemented components for an ongoing application project on Android platform.
    • Researched XMPP(Extensible Messaging and Presence Protocol) implementations and P2P networking alternatives for a client-server model.