Rouhalah Ebrahimi
I'm Rouhalah Ebrahimi, a versatile software engineer and AI specialist with expertise in Python,...
ISTANBUL, Turkey
I'm Rouhalah Ebrahimi, a versatile software engineer and AI specialist with expertise in Python,...
I'm Rouhalah Ebrahimi, a versatile software engineer and AI specialist with expertise in Python, machine learning, and full-stack development. I build intelligent systems—from LLM-powered platforms and computer vision models to cloud-native applications—focusing on real-world impact across healthcare, education, and enterprise. My projects include Cafe Suite, an AI-driven smart cafe management platform; HybridCXR, a deep learning system for multi-class lung disease detection; and Test98.ir, an advanced AI-driven educational platform. With a strong foundation in technical instruction and cross-disciplinary problem-solving, I bridge the gap between cutting-edge AI research and practical, scalable solutions.
Developing AI-driven systems for educational and research processes.
Managing IT infrastructure, including servers (Cis, Padvish) and network security.
Specializing in LLMs, RAG systems, and medical data analysis.
A research-based project focused on developing a hybrid deep learning model for the multi-label classification of chest diseases. The system utilizes pre-trained convolutional neural networks to identify abnormalities in chest X-ray (CXR) images with high accuracy.
Technical Overview:
Designed and trained a multi-class deep learning model based on VGG16, ResNet, and MobileNet architectures.
Utilized the NIH Chest X-ray 8 dataset for training and validation.
Focused on improving the detection of rare abnormalities through fine-tuning and weight optimization.
Key Achievements:
This project served as a Master’s degree thesis, receiving a top grade of 20/20.
Presented at the AI Innovation Festival as a selected project.
Led to a published research paper titled "Presenting a Hybrid Deep Learning Model for Multi-Label Classification of Chest Diseases."
Impact: HybridCXR aims to assist radiologists by providing a reliable second opinion, potentially reducing diagnostic errors in medical imaging.
An innovative SaaS platform designed to modernize cafe management using Artificial Intelligence. It features automated inventory tracking, customer behavior analysis, and smart resource allocation to enhance operational efficiency.
In ProgressA comprehensive online platform for educational assessments and recruitment testing.
In ProgressExplore live interactive demos of my website designs. Everything is fully customizable!
Focusing on improving detection accuracy for rare lung abnormalities through fine-tuning and weight optimization in deep neural networks.
Research & Innovation: Passionate about investigating new AI technologies, particularly Generative AI and Autonomous Systems. Teaching: Sharing technical knowledge in Python and computer skills with students and professionals Entrepreneurship: Building smart platforms that solve real-world business challenges.