CV

M.Sc. Computational Neuroscience and Biomedical

• Research on developing large language models within an interactive environment for brain analysis.
• Research on multi-output models for predicting bone age, essential for skeletal maturation in orthopedics, pediatrics, and orthodontics .
• Master Thesis at the Computational Neuroscience and Biomedical departement of The Istanbul University-Cerrahpaşa.

B.Sc. Computer & Biomedical Engineering

• Built and deployed a U-Net-based model for hippocampus segmentation, optimizing model training and inference workflows.
• Bachelor Thesis at the Computer & Biomedical Engineering department of Tekirdağ Namık Kemal University.

DevOps Engineer

• Managed and organized databases while ensuring server stability and reliability.
• Designed and implemented CI/CD pipelines using GitHub Actions, automating build, test, and deployment processes, reducing deployment time by 85% and ensuring zero-downtime deployments.
• Cloud administration and network maintenance, ensuring optimal performance and seamless operations.
• Deployed and managed full-stack applications, including Next.js and React.js for frontend and PHP Laravel for backend, ensuring seamless integration and high performance in production environments.
• Managed and scaled AWS infrastructure across 5 accounts, hosting 17+ EC2 instances with Auto Scaling Groups (ASG) to ensure high availability and fault tolerance.

Deep Learning Researcher

• Containerized ML models using Docker, ensuring seamless scaling and management of AI workloads.
• Deployed machine learning models on Jupyter servers and physical GPU-based servers, optimizing inference speed and scalability for real-time applications.
• Data analysis using OpenCV and Kalman filter to enhance model outcomes.
• Optimized sort algorithm for tracking pepole on infrared (IR) frames.
• Co-developer of the Indoor pepole detection and tracing model.
• Implemented a real-time indoor person tracking framework using DeepSORT, integrating thermal and RGB data for enhanced performance in production environments.

ML Flask Application

• Manual and Automatic Deploy for Flask App powered ML Model on AWS EC2 Instance amazon linux.

ECG Arrhythmias Classification

• Classifcation model for classify 7 Heart Arrhythmias depending on ECG spectograms.

2D Hippocampus Segmantation

• An automated method based on U-Net deep learning model for segmentation purpose.

• I was awarded The Türkiye Scholarships
• I graduated from the Biomedical Engineering department and was awarded first place for outstanding academic performance.

• I attended the Teknofest AI in Medicine Competition.