Current focus
About me
I am a final-year Computer Engineering student and AI developer focused on multimodal medical AI, computer vision, NLP, and agentic systems. I turn research ideas into usable software—from clinical decision-support workflows to real-time disaster mapping and intelligent education platforms.
AI Research Intern at Microsoft Türkiye — AI Innovators
Building SağlıkCebim, an AI-assisted clinical decision-support platform
Researching chest X-ray diagnosis using image + clinical-text fusion
Experienced with end-to-end ML pipelines, APIs, model evaluation, and product integration
Open to AI/ML engineering, research, and open-source collaboration
I care about models that do more than score well in a notebook: they should be explainable, testable, and useful in the real world.
Featured work
Project
What it does
Technical focus
SağlıkCebim
Combines symptoms, laboratory results, and radiology findings into structured clinical roadmaps and department guidance.
Multimodal AI, DenseNet, LLMs, FastAPI, clinical safety
Chest X-Ray Multimodal Diagnosis
Fuses chest X-rays with clinical reports for multi-label diagnosis; experiments reached approximately 0.92 ROC-AUC with late fusion.
ViT, DenseNet-121, ClinicalBERT, cross-attention
AfetHaritaApp
Builds a real-time disaster intelligence layer for reporting, mapping, and prioritizing incidents.
Geospatial systems, real-time data, AI-assisted triage
AgroScan AI
Detects crop problems from images and supports farmers with actionable recommendations.
Computer vision, classification, smart agriculture
MicrosoftJrSLM
Explores compact language models and efficient task-specific AI workflows.
SLMs, fine-tuning, evaluation, inference
Driver Drowsiness Detection
Detects fatigue indicators from live video to improve driver safety.
YOLOv5, LSTM, OpenCV, real-time inference
E-Sınıf
AI-supported education management with secure authentication and intelligent assistance.
FastAPI, Gemini, JWT, SQLAlchemy
Smart CV & Job Matching
Extracts structured information from CVs and matches candidates with relevant roles.
OCR, NLP, information extraction, recommendation
Explore all repositories →
Core toolkit
Area
Technologies
AI & Research
PyTorch, TensorFlow, scikit-learn, Hugging Face, OpenCV, Transformers, multimodal learning
Backend & Data
Python, FastAPI, SQLAlchemy, PostgreSQL, REST APIs, MLflow
Product Engineering
Next.js, React, TypeScript, Docker, GitHub Actions, Azure
Current interests
Agentic AI, RAG, medical VLMs, SLM optimization, trustworthy AI
Selected outcomes
~0.92 ROC-AUC
48+ repositories
60+ GitHub stars
Teknofest finalist
Multimodal chest X-ray research
Experiments and products
Open-source engagement
AI-powered agriculture
GitHub activity
Contribution snake
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Let’s build something useful
I am interested in collaborations involving medical AI, multimodal learning, computer vision, agentic workflows, and applied ML research. If you are working on a difficult real-world problem, feel free to reach out.
AI should not stay in a demo. It should become a dependable system.