Software Developer & Deep Learning Researcher
I am currently focused on my own projects and academic pursuits. Previously, I worked as a Software Developer at Sovrox-MLBNova, leading the development of Farmavil - a cross-platform smart farming application. I am pursuing my MSc in Computer Science at IZTECH with a focus on Computer Vision. I specialize in AI & Computer Vision, AWS Cloud Architecture, and full-stack development with expertise in React Native, Python, and DevOps.
Lightweight Python backend framework developed from scratch using low-level socket programming. Provides full RESTful API support with built-in routing and modular, extensible architecture.
Python, Socket Programming, HTTP, RESTful API
Vehicle detection and OCR-based Turkish license plate recognition system using YOLOv5. Optimized inference pipeline for real-time performance.
YOLOv5, Computer Vision, OCR, Python
Deep learning-based medical imaging pipeline for melanoma diagnosis using ISIC dataset (~11,000 dermatoscopic images). Achieved 86% test accuracy with balanced precision and recall.
Deep Learning, EfficientNet, Medical AI, Grad-CAM
U-Net-based deep learning pipeline for binary semantic segmentation of mitochondria in grayscale microscopy images. Achieved 99.4% validation accuracy.
U-Net, Semantic Segmentation, Deep Learning
Social reading platform with AI-driven book recommendations and community features. Map-inspired city walls and chatbot integration.
Web App, AI, Recommendation System
Experimental Twitter bot and news-sharing platform that aggregates and posts real-time news headlines in a neutral and unbiased manner.
NLP, News Aggregation, Automation, Twitter API