About me

I am an AI Solutions Expert specializing in computer vision and deep learning across healthcare, biotechnology, and industrial sectors. With a Master's degree in Computer Vision Engineering, I focus on translating cutting-edge research into robust production systems, navigating the complex challenges that arise when theory meets real-world implementation.

My healthcare and biotech projects include molecular analysis systems for drug-DNA and drug-protein interactions, predictive platforms for drug efficacy screening in stem cell-derived pancreatic microtissues for diabetes drug discovery, real-time ECG analysis with AI decision support trained on thousands of clinical cases, and retinal vessel segmentation for disease detection.

Beyond healthcare, I have developed smart home solutions featuring face recognition and hand gesture detection, as well as industrial applications for object counting, precision measurement, and quality control across both on-premise and cloud-based deployments.

My technical expertise includes Python, C++, PyTorch, Docker, Kubernetes, and MLOps practices for deploying and maintaining deep learning solutions at scale.

What i'm doing

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    AI and Deep Learning

    Cutting-edge AI and deep learning solutions tailored to your specific needs and challenges.

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    End-to-End AI Smart Home Systems

    Seamless integration of artificial intelligence in smart home systems, delivering next-level automation and convenience.

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    Medical Image Processing

    Utilizing AI for medical image analysis, we enhance diagnosis and personalized healthcare.

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    Mobile apps

    Access all the above services on your mobile device through our expertly developed iOS and Android applications.

Clients

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Resume

Education

  1. University of Namik Kemal - Master

    2022 — 2025

    Master's Degree in Computer Engineering
    Master's thesis: Segmentation and classification of retinal images: human and animal applications

  2. University of Namik Kemal - Bachelor

    2016 — 2021

    Bachelor's Degree in Computer Engineering
    Bachelor's thesis: Mini software for autonomous vehicles

  3. Computer Technologies High School

    2010 — 2013

Experience

  1. Senior Computer Vision Eng

    2025 — Present

    Leading Emoda Software Team in developing advance AI solution in healthcare sector. Focused on leveraging deep learning techniques to enhance medical imaging and diagnostics.

  2. InnoWare.AI, Founder

    2022

    Leading InnowareAI as Founder, I've harnessed innovation in artificial intelligence to create transformative software solutions. Our work has propelled various industries into new frontiers of efficiency and intelligence.

  3. Deep Learning Engineer

    2021 — 2024

    As a Deep Learning Engineer at Ezlo Innovation, I've excelled in blending traditional engineering with cloud technologies. My contributions in developing cloud-based solutions and enhancing image processing techniques have been instrumental in advancing deep learning projects.

  4. Image Processing - intern

    2021 — 2021

    My internship at KANCA FORGING led to the development of an innovative program that uses image processing and tracking techniques to count industrial pieces. This technology provided a groundbreaking solution for inventory management.

  5. Mobile Apps

    2017 — 2020

    I crafted mobile apps for a municipality, focusing on odor rating and environmental stewardship. These applications became pivotal in streamlining community tasks and enhancing environmental consciousness, reflecting a commitment to responsible practices.

My skills

  • AI Innovation
    80%
  • Deep Learning & Image Processing
    85%
  • Mobile App Development
    75%
  • Cloud Technologies
    95%

Contact

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