Nihat Ahmadli

Artificial Intelligence Intern at PONS
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Contact Information
us****@****om
(386) 825-5501
Location
Istanbul, Turkey, TR
Languages
  • Azerbaijani Native or bilingual proficiency
  • English Full professional proficiency
  • Russian Limited working proficiency
  • French Native or bilingual proficiency
  • Turkish Full professional proficiency

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Credentials

  • Structuring Machine Learning Projects
    Coursera
    Aug, 2023
    - Nov, 2024
  • Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization
    DeepLearning.AI
    Apr, 2023
    - Nov, 2024
  • Neural Networks and Deep Learning
    DeepLearning.AI
    Feb, 2023
    - Nov, 2024
  • (50 Saat) Python A-Z™: Veri Bilimi ve Machine Learning
    Udemy
    Oct, 2022
    - Nov, 2024
  • Introduction to deep learning
    Global AI Hub
    Sep, 2022
    - Nov, 2024
  • Python for Machine Learning
    Global AI Hub
    Sep, 2022
    - Nov, 2024
  • Digital Transformation and Big Data
    Young Executive Academy
    May, 2022
    - Nov, 2024
  • Arduino 101
    Turkcell Geleceği Yazanlar
    Dec, 2021
    - Nov, 2024
  • Arduino 201
    Turkcell Geleceği Yazanlar
    Dec, 2021
    - Nov, 2024
  • Excel Skills for Business
    Macquarie University
    Sep, 2021
    - Nov, 2024
  • CS50x Computer Science
    CS50
    Feb, 2021
    - Nov, 2024
  • Data Science Orientation
    IBM
    Jan, 2021
    - Nov, 2024
  • Programming for Everybody (Getting Started with Python)
    Coursera
    Jan, 2021
    - Nov, 2024
  • Time Management
    Udemy
    Dec, 2020
    - Nov, 2024

Experience

    • United States
    • Software Development
    • 1 - 100 Employee
    • Artificial Intelligence Intern
      • Jun 2023 - Present

      Here, I: • Conducted intense research on ultrasound imaging • Analyzed different ultrasound datasets • Used novel Segment Anything Model (SAM) by Meta AI for biomedical image segmentation • Optimized SAM's open-source code to be able to apply it to ultrasound images Here, I: • Conducted intense research on ultrasound imaging • Analyzed different ultrasound datasets • Used novel Segment Anything Model (SAM) by Meta AI for biomedical image segmentation • Optimized SAM's open-source code to be able to apply it to ultrasound images

    • Türkiye
    • Higher Education
    • 700 & Above Employee
    • Undergraduate Student Researcher
      • Sep 2022 - Present

      In this lab, we work on the detection of skin cancer by means of photoacoustic waves. In this lab, I: • Developed a new iterative method for Sound Speed Estimation in a layered medium • Authored and submitted a paper about the aforementioned method for the Elsevier Ultrasonics journal • Prepared multi-layered slabs of skin-mimicking tissues in a lab environment • Used the k-Wave toolbox of MATLAB for the time-domain simulation of acoustic wave fields • Conducted extensive research on ultrasonic and photoacoustic tomography (PAT) systems • Photoacoustic image reconstruction using one of the CNN (Convolutional Neural Networks) architectures called U-net Show less

    • Türkiye
    • Manufacturing
    • 700 & Above Employee
    • Research and Development Test Engineer
      • Jul 2023 - Aug 2023

      Here, I created a GUI in Python that calculates the power dissipation of different electrical-electronic components and exports the results to an Excel File. During the internship, I improved my Python and UI design skills further. Furthermore, before writing the code, I acquired in-depth knowledge about electronic components such as IGBT, LDO, Varistor, etc. Here, I created a GUI in Python that calculates the power dissipation of different electrical-electronic components and exports the results to an Excel File. During the internship, I improved my Python and UI design skills further. Furthermore, before writing the code, I acquired in-depth knowledge about electronic components such as IGBT, LDO, Varistor, etc.

    • Türkiye
    • Biotechnology Research
    • 1 - 100 Employee
    • Electronics Team Leader
      • Apr 2022 - Jan 2023

      As a team, our aim is to create a prognostic test kit that facilitates metastasis tracking in breast cancer. Under Electronics Team, I am leading the team to prepare densely aligned Carbon Nanotubes (CNTs) which are going to be used as FET(field effect transistor) biosensors in our project. By measuring the resistance change in CNTs due to the microfluidic system, we are going to be able to track the amount of biomarker protein in the blood plasma. Under the Artificial Intelligence & Software team, we are trying to utilize the data we get from the chip and increase the sensitivity by adding other features of patients, such as demographics, age, sex, cancer background, estrogen level and etc. - Attended and got to the final stage of Teknofest Turkiye 2022 in Biotechnology field as one of the competitors Show less

    • Azerbaijan
    • Education Administration Programs
    • 1 - 100 Employee
    • Solar Engineer
      • May 2017 - Aug 2017

      I had an amazing experience both learning and practicing on Renewable Energy Systems I had an amazing experience both learning and practicing on Renewable Energy Systems

Education

  • Istanbul Technical University
    Bachelor's degree, Electrical, Electronics and Communications Engineering
    2021 - 2025

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