Ozan Yurtsever

Ozan Yurtsever

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Co-Founder
Seoul, South Korea

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Résumé

Jobs verified_user 0% verified
  • VidRush
    Co-Founder
    VidRush
    Apr 2025 - Current (1 year 3 months)
    Lovable for video production
  • Algesoft
    Managing Partner & Software Engineer
    Algesoft
    Feb 2022 - Current (4 years 5 months)
    Crafting digital dreams
  • emoty AI
    Co-Founder
    emoty AI
    Nov 2019 - Feb 2022 (2 years 4 months)
    We help companies to discover the emotional patterns, decision-making process, and buying behaviors of their customers. https://emoty.ai
  • ATP
    Software Developer
    ATP
    Sep 2019 - Apr 2020 (8 months)
    I mainly work with a team that develops ERP systems with .NET technologies. My main focus is to develop and maintain existing systems while participating R&D projects with latest technologies. - .NET / C# - Javascript - ASP.NET MVC - MSSQL - SQL Reporting Services - Windows Forms - TFS - Agile / Scrum
  • ATP
    Core Talent - Internship Trainee
    ATP
    Jun 2019 - Sep 2019 (4 months)
    Right after graduation, I was selected as an intern for the Core Talent program at ATP and participated wide range of projects within the ERP Product Development Team.
  • Gamelab Istanbul
    Game Engine Developer
    Gamelab Istanbul
    Jun 2018 - Aug 2018 (3 months)
    I took part in the development of the game engine of Nitra Games and the game of Taso 2018 written with this game engine. - C++ - OpenFrameworks
Education verified_user 0% verified
  • Istanbul Kultur University
    Bachelor, Computer Engineering
    Istanbul Kultur University
    Jan 2015 - Dec 2019 (5 years)
Projects (professional or personal) verified_user 0% verified
  • C
    Cash Flow Management System
    Oct 2019 - Dec 2019 (3 months)
    Developed an online cash flow management system for Polat Holding.
  • T
    Taso Game Engine
    Jun 2018 - Aug 2018 (3 months)
    I took part in the development of the game engine of Nitra Games and the game of Taso 2018 written with this game engine.
  • E
    Emotion Recognition from Physical Signals with Deep Learning
    Worked with a real-life, unique dataset which collected by Cerrahpasa Medical Faculty. Preproccessed the dataset using Numpy and Pandas. Processed and manipulated signals with Matlab. Trained classifcation model with Tensorfow and Keras.
Awards verified_user 0% verified
  • K
    Global Acceleration Program Contributor
    Korea Institute of Startup Entrepreneurship Development
    May 2021
    emoty.AI has been selected for the GAPS program to expand its business in China and is actively being funded by the Korean Government.
  • K
    K-Startup Grand Challenge | Top 20 Team
    Korea SMEs and Startups Agency
    Dec 2020
    emoty.AI has got to top 20 teams out of 2700+ applications from over 118 countries!
Publications verified_user 0% verified
  • T
    Hybrid deep convolutional model-based emotion recognition using multiple physiological signals
    Taylor Francis Online
    Jan 2022
    In this publication, we explore the advancements in emotion recognition, a field increasingly relevant in medicine, advertising, and the military. The paper delves into the complexities of extracting emotional characteristics from sensor data, emphasizing the necessity of sophisticated feature engineering techniques for precise signal interpretation. We introduce a novel hybrid affective model leveraging transfer learning for emotion classification, utilizing comprehensive sensor data from 30 participants. This model integrates various learning algorithms including CNN, LSTM, RNN, and other methods, significantly enhancing the traditional feature extraction process. Remarkably, the hybrid deep model achieves an impressive 93% classification
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