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Skills
Javascript|Typescript|React.js|Next.js|Git|SCSS|MongoDB|Nest|Vue
Professional Experience
2024/07 – present

Software Developer

Everytours
  • •Improved app performance by 30% by optimizing images and using CDN
  • •Improved SEO based on performance and traffic metrics
  • •Turned Figma designs into working UI
  • •Added search and similar tours feature, leading to a 4% increase in revenue
  • •Built a review system for user feedback
  • •Integrated new features into the management panel
    • 2022/07 – 2022/09

    Software Developer Intern

    Anadolu ISUZU | Github
  • •Built a backend using the .NET framework and C# programming language.
  • •Designed a relational database using Microsoft SQL Server and managed it using SSMS.
  • •Developed the frontend with React.js and ensured responsiveness using Bootstrap 5.
  • •Implemented various features including a shopping cart, user account management system, and others.
    • Activities
    2023/10 – 2023/11

    Product Management Bootcamp

    Patika.dev & Timus Networks
  • •Developed solutions to enhance Netflix's content discovery, aiming to improve user experience and increase subscriptions.
  • •Conducted SWOT analysis, competitor analysis, and HOW MIGHT WE Analysis.
  • •Developed solution sketches to propose alternative solutions.
  • •Created personas and use cases to identify user needs.
  • •Formulated epic user stories and determined success metrics.
  • •Developed a GTM (Go-to-Market) strategy.
    • Projects
    2022 – 2023

    Clothes Recommendation System Based on Weather Conditions

    TUBITAK 2209

    Developed a real-time clothing recommendation system that combines YOLOv4 and YOLOv5 algorithms to detect clothing in camera images and provide weather-based outfit suggestions, demonstrating an innovative fusion of AI and image-processing technologies.

  • •Applied YOLOv4 algorithm with artificial neural networks to detect human figures in real-time camera images.
  • •Successfully trained the YOLOv5 model to perform real-time clothing detection on individuals captured by cctv.
  • •By incorporating real-time weather information, the system ensures that suggested clothing options are appropriate for the current weather conditions.
    • Education
    2019 – 2024/01Kocaeli

    Computer Engineering - GPA: 3.17

    Kocaeli University