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Profile

As a recent computer engineering graduate, I possess a solid understanding of computer systems and software development. My passion for innovation is demonstrated through my commitment to learning and my ability to find creative solutions to improve processes.

Professional Experience
2023/10 – 2023/11

Product Management Bootcamp

Patika.dev & Timus Networks | Linkedin
  • •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.
    • 2022/09 – 2023/02

    Software Developer Intern

    Kocaeli University Embedded Systems Laboratory | Github
  • •Developed a static website for the laboratory, handling both design and development.
  • •The technologies utilized for this project include React.js, HTML, CSS, and Bootstrap.
  • •Collaborated with the laboratory team leader to ensure that the website fulfilled the laboratory's branding and messaging prerequisites.
  • •Created a custom website layout and designed visual elements with Adobe Illustrator.
    • 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 (SQL Server Management Studio).
  • •Developed the website's frontend using React.js and ensured full responsiveness on all devices using Bootstrap 5.
  • •Implemented various features including a shopping cart, user account management system, and others.
    • 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 live cameras.
  • •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