Tuğrul GÖKBEL

Software Engineer at End Point Corporation
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Contact Information
us****@****om
(386) 825-5501
Location
Aydın, Turkey, TR

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Bio

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5.0

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Aliaksei Chareshneu

Tugrul is very kind and intelligent person, who is always open to new experiences and ready to help. He is enthusiastic and passionate about his work. I'm happy that I got to know Tugrul.

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Credentials

  • 100 Days of SwiftUI
    Hacking with Swift
    Jan, 2022
    - Nov, 2024
  • JavaScript (Intermediate)
    HackerRank
    Jan, 2022
    - Nov, 2024
  • 100 Days of Swift
    Hacking with Swift
    Dec, 2021
    - Nov, 2024
  • Yapay Zekaya İlk Adım
    Global AI Hub
    Nov, 2021
    - Nov, 2024
  • Git Version Control Systems
    Global AI Hub
    Oct, 2021
    - Nov, 2024
  • The Physics of Life Summer School 2020
    Princeton University
    Aug, 2020
    - Nov, 2024
  • Finding Hidden Messages in DNA (Bioinformatics I)
    Coursera
    Apr, 2020
    - Nov, 2024
  • Building AI Applications with Watson APIs
    Coursera
    Mar, 2020
    - Nov, 2024
  • Introduction to Computer Vision with Watson and OpenCV
    Coursera
    Mar, 2020
    - Nov, 2024
  • Python for Data Science and AI
    Coursera
    Feb, 2020
    - Nov, 2024
  • Introduction to Programming in R
    Dataquest.io
    Nov, 2019
    - Nov, 2024
  • INTERMEDIATE R PROGRAMMING
    Dataquest.io

Experience

    • United States
    • Technology, Information and Internet
    • 1 - 100 Employee
    • Software Engineer
      • Apr 2022 - Present

    • Türkiye
    • Human Resources Services
    • 1 - 100 Employee
    • Innova bootcamp
      • Dec 2021 - Jan 2022

      Used technologies: ◦ Swift ◦ VIPER and MVVM Design Patterns Used technologies: ◦ Swift ◦ VIPER and MVVM Design Patterns

    • Technology, Information and Internet
    • 200 - 300 Employee
    • React Bootcamp
      • Oct 2021 - Dec 2021

  • Univeristy of Pavia
    • Lombardiya, İtalya
    • Intern
      • Oct 2020 - Jul 2021

      Analyzed large volumes of NGS data and to do that I used predictive modelling using machine learning techniques such as generalised linear models and Bayesian inference, and Deep Learning. Analyzed large volumes of NGS data and to do that I used predictive modelling using machine learning techniques such as generalised linear models and Bayesian inference, and Deep Learning.

    • Czechia
    • Research
    • 400 - 500 Employee
    • Web Developer Intern
      • Nov 2018 - Nov 2019

      Developed a web application which visualizes 3D structure of molecules. https://crocodile.ncbr.muni.cz/Apps/NAChRDB/index-responsive.html Developed a web application which visualizes 3D structure of molecules. https://crocodile.ncbr.muni.cz/Apps/NAChRDB/index-responsive.html

Education

  • Università di Pavia
  • İzmir Yüksek Teknoloji Enstitüsü
    Lisans
    2012 - 2019

Community

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