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Hi! I am Yasemin Ozkut

and I am a M.S. Student @ O|

About

I'm a second-year M.S. student in Electrical and Computer Engineering at The Ohio State University, working on deep learning and multi-modal learning models in PCVLab as a GRA, under the supervision of Alper Yilmaz. My background is in Computer Science and Engineering (Sabanci University). Currently I'm implementing multi-modal model for generating medical reports from X-rays. Additionally, my team is preparing to compete in NASA's Beyond the Algorithm Challenge, tackling flood analysis using satellite imagery with neuromorphic computing. On the side, I'm exploring agentic LLMs (LangChain, LangGraph) and building AI-powered iOS apps with friends. I love picking up new topics and enjoy both independent and team projects.

Highlighted Skills

Python
C++
PyTorch
CUDA
YOLO
OpenCV
Hugging Face
Pandas
NumPy
Scikit-learn
Git
SLURM
Linux (CLI)
Deep/Machine Learning
Distributed Training
Multi-modal Learning
Computer Vision
Vision-Language Models

Projects

Live Object Detection
Live Object Detection
DAI-Labor, TU Berlin
YOLOv8 model for live object detection in supermarkets. Used webcam and OCR pipeline for real-time product recognition.
Chest X-Ray VLM (Ongoing)
Chest X-Ray VLM (Ongoing)
Ongoing
Photogrammetric Computer Vision Lab, OSU
Developing a multi-modal VLM for chest X-ray image/report generation, integrating large language and vision models.