İbrahim Gülmez

@ibrahimgulmez

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Computer Engineer with a passion for AI and machine learning.

Turkey

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What I'm looking for

Looking for a challenging role that leverages my AI and machine learning skills to drive innovation and growth.

Ibrahim Gu¨lmez is a highly motivated and detail-oriented computer engineering student with a strong passion for artificial intelligence and machine learning. With a solid academic background and hands-on experience in various projects, I have developed a unique blend of technical skills and problem-solving abilities.

Throughout my academic journey, I have been actively involved in research projects, internships, and personal projects that have enabled me to explore the vast realm of AI and machine learning. My expertise lies in computer vision, natural language processing, and deep learning, with a strong foundation in programming languages such as Python, JavaScript, and Java.

I am a team player with excellent communication skills, and I thrive in collaborative environments where innovation and creativity are encouraged. I am excited to leverage my skills and experience to contribute to cutting-edge projects and make a meaningful impact in the industry.

Experience

Work history, roles, and key accomplishments

Graduation Project Developer

TUBITAK 2209-A & SIU 2024

Aug 2023 - Nov 2023 (3 months)

Developed a deep learning model for automatic recognition of baby crying sounds, utilizing CNN and ANN. Deployed the model on Google Cloud Platform with a Flask server and created a mobile app using React Native.

Python Google Cloud Platform Flask Docker React Native Mobile Development Deep Learning

Data Science Intern

TUSAS A.S.

Aug 2023 - Sep 2023 (1 month)

Conducted exploratory data analysis on aircraft datasets and implemented classification models using CNN and EfficientNet B3. Explored model interpretation tools and addressed class imbalances with GANs, VAEs, and various object detection techniques.

Python PyTorch EfficientNet Data Analysis Machine Learning

AI Research Intern

AKGUN YAZILIM

Jul 2023 - Aug 2023 (1 month)

Researched computer vision and AI techniques for brain tumor segmentation. Conducted dataset exploration and optimized preprocessing methods, achieving promising results with U-Net architecture on high-performance GPU.