ML Engineer & Data Scientist — İzmir
ABOUT
I am a 3rd year Computer Science student at Dokuz Eylül University, specializing in data science and machine learning. I actively work on medical image analysis, deep learning architectures, and ML model deployment.
I develop open-source Python libraries, conduct TÜBİTAK-funded research, and represent my country in national competitions like Teknofest.
PROJECTS
Open-source tools and competition projects taken from research to production.
From trained model to production-ready FastAPI in a single line of code. Open-source Python library that automatically converts scikit-learn models into REST APIs.
Deep learning-based tumor classification in brain MRI images. Open-source codebase for the TÜBİTAK 2209-A research project.
Breast cancer diagnosis using Logistic Regression, Random Forest, KNN, and SVM. Comparative analysis of classical ML methods.
Pathological complete response (PCR) prediction after neoadjuvant chemotherapy. Machine learning application in oncology.
AI-based approach for seismic data analysis. Pattern recognition and classification in earthquake data.
Predictive analytics platform for operational data. Real-time ML model inference in production environments.
RESEARCH
TÜBİTAK-funded projects and competitive research initiatives.
Radiomics and ML-based system for IDH mutation detection from diffuse glioma MRI images. AI application in oncology.
Early warning system for the construction sector. Micro-seismic pattern detection through deep learning and large language model integration.
Generative AI applications in digital media. Comprehensive analysis of large language models' role and transformative impact.
Have a project in mind? Drop me a message.