About me

My passion for artificial intelligence has led me to develop proficiency in deep learning, computer vision, and cutting-edge advancements in the field. A continuous learner, I thrive in environments that promote professional development. My skillset allows me to utilize deep learning for extracting insights from complex data, design solutions that enable machines to perceive the visual world, and explore the potential of generative AI and large language models. As a strong communicator and team player, I am eager to contribute to a company at the forefront of AI innovation, where I can make a significant impact.

 

What i'm doing

  • design icon

    Research Interests

    Artficial Intelligence
    Machine Learning
    Generative AI
    Computer Vision
    Large Language Models

  • Web development icon

    Hobbies

    Playing basketball
    Kickboxing
    Doing fitness
    Hiking
    Playing video games

Daniel lewis
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Daniel lewis

Richard was hired to create a corporate identity. We were very pleased with the work done. She has a lot of experience and is very concerned about the needs of client. Lorem ipsum dolor sit amet, ullamcous cididt consectetur adipiscing elit, seds do et eiusmod tempor incididunt ut laborels dolore magnarels alia.

Resume

Education

  1. İzmir Institute of Technology

    October 2018 — July 2023 Electronics and Communications Engineering

    Cumulative GPA: 3.34 / 4.00

    BSc. with 3rd Place Ranking in the department

    Preparatory class was attended at the first year.

Experience

  1. ROKETSAN

    August 1, 2023 — Present Engineer

    Large Language Models, and Computer Vision

  2. ROKETSAN

    June 6, 2023 — 1 August 1, 2023 Candidate Engineer

    Large Language Models, and Computer Vision

  3. VESTEL

    October 14, 2022 — January 6, 2023 Intern

    Image Processing, Computer Vision, and Deep Learning

    Real Time Object Recognition - Raspberry Pi 3

  4. HAVELSAN

    August 1, 2022 — 13 September 13, 2022 Intern

    Embedded Software Systems - Raspberry Pi 3

  5. MET Advanced Technology Systems

    July 5, 2021 — September 21, 2021 Intern

    IoT Project (Smart Factory Automation System on the portfolio)

    Verification and validation of the operation of image processing and artificial intelligence processes.

My skills

  • Python
    80%
  • LLMs
    80%
  • Image and Video Generation with Diffusion Models
    90%
  • C Programming
    70%
  • Matlab
    65%
  • Docker
    70%
  • Tensorflow
    65%
  • PyTorch
    80%
  • OpenCV
    80%
  • Arduino
    85%
  • Adobe Photoshop
    65%
  • Proteus
    65%
  • LT Spice
    70%

Portfolio

Projects

  1. Graduation Project Spring Term

    March 1, 2023 — December 1, 2023 Data Augmentation Using Diffusion-Based Models for Improved Performance in Ocular Disease Diagnosis Using Retinography Images

    Computer Vision, and Generative AI.
    To solve data imbalance, the t-SNE method, and data augmentation using diffusion-based fine-tuned models were used. Diffusion-based models fine-tuned in specific domains.
    The study was converted to Springer's International Journal of Machine Learning and Cybernetics. https://doi.org/10.1007/s13042-024-02485-w

  2. Graduation Project Fall Term

    September 4, 2022 — January 20, 2023 Plant Segmentation from Aerial Images Using Attention U-Net and U-Net Architectures

    Computer Vision, Image Segmentation and Deep Learning.
    U-Net architecture, Attention mechanism, and U-Net architecture based on Attention were used. U-net's skip connections are enhanced by attention mechanisms, allowing for more focused feature integration in the decoder path for improved segmentation accuracy.

  3. Internship Project

    August 16, 2021 — September 21, 2021 Smart Factory Automation System

    IoT, MQTT communication protocol.
    To control the various devices in the factory, Raspberry Pi 4, ESP8266, and Arduino were used.

  4. Project Team Member

    March 10, 2021 — September 5, 2021 TEKNOFEST Model Satellite Competition

    Sensor tests, microcontroller usage (Arduino, Teensy 3.6)
    Coding landing control system strategy, design, manufacture and installation (Active landing and passive landing systems).

Blog

Contact

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