I'm a passionate AI/ML Engineer and Software Developer with expertise in Natural Language Processing, Machine Learning, and Full-Stack Development. With a Master's in Software Engineering specializing in AI applications and a strong academic foundation combined with practical industry experience, I focus on developing cutting-edge AI solutions.

• Master's in Software Engineering - ATILIM University
• Master's in Mathematics - Marmara University
• Bachelor's in Computer Engineering - Ahi Evran University
• Bachelor's in Mathematics - Marmara University
• Master's Thesis: LLM and RAG Systems for Medical Question Answering

• Large Language Models (LLMs): Advanced fine-tuning, optimization, and custom model development with latest architectures
• Vision-Language Models (VLMs): Multi-modal AI systems integrating computer vision and NLP
• Advanced RAG Systems: Next-generation Retrieval-Augmented Generation with vector databases and semantic search
• AI Agents & Orchestration: Autonomous agents using LangChain, LangGraph, and custom frameworks
• Full-Stack AI Deployment: End-to-end ML pipeline development and production deployment
• MLOps & DevOps: Scalable machine learning operations, CI/CD, and infrastructure automation
• Healthcare NLP: Specialized applications using Spark NLP for medical text analysis
• Completed Research: Master's thesis on LLM-RAG windowed document splitting for medical QA systems

• 🏥 Medical QA with LLM-RAG: Completed Master's thesis project on windowed document splitting for medical question answering systems
• 🔮 Advanced RAG Systems: Multi-modal retrieval-augmented generation with vector databases (Pinecone, Weaviate, ChromaDB)
• 💬 ChatGPT Clone: Built with LangChain and Streamlit for conversational AI experiences
• 👁️ Multi-Modal VLM Systems: Fine-tuning and deploying Vision-Language Models for diverse applications
• 🤖 AI Agent Framework: Autonomous agents for complex task orchestration using LangGraph and decision-making
• 🔧 LLM Fine-tuning Pipeline: Custom PEFT/LoRA workflows for domain-specific language models
• 🧠 CAPTCHA Solver: Deep learning model for automated CAPTCHA recognition using CNN

• ⚕️ Spark NLP for Healthcare: Advanced clinical text processing and entity recognition
• 📋 Medical Document Analysis: Automated extraction of clinical insights from medical texts
• 🚀 Health Data Pipeline: End-to-end healthcare data processing workflows
• 🩺 Disease Prediction System: Healthcare analytics for symptom-based diagnosis

• ⚙️ End-to-End ML Pipelines: From data ingestion to model deployment and monitoring
• 📈 COVID-19 Time Series Analysis: Real-time pandemic data visualization and trend analysis
• 🔄 AutoML & Hyperparameter Optimization: Automated model selection and tuning
• 🧪 A/B Testing Framework: Statistical testing for model performance evaluation
• 🚀 Real-time Model Serving: High-performance API endpoints for ML model inference
• 🤝 Smart Matching System (SMT): AI-driven mentor-mentee matching algorithm using cosine similarity and NLP

• E-Commerce Platform: Full-stack web development for online marketplaces
• Personnel Tracking System: Desktop application for workforce management
• Mobile Maps Project: Location-based mobile application development
• Arduino Robot Controller: IoT project with Bluetooth and voice control capabilities

• Portfolio Website: Personal portfolio showcasing technical skills and projects
• Flask APIs: RESTful web services for various applications
• Real-time Dashboards: Interactive data visualization platforms

• 🎓 Dual Master's Degrees: Completed advanced education in both Mathematics and Software Engineering
• 🔬 Healthcare Innovation: Developing AI solutions for medical text analysis and clinical decision support
• 🏗️ Full-Stack Development: Experience in both web and mobile application development
• 🤖 IoT & Robotics: Hardware projects including Arduino-based robot controllers
• 🌍 Open Source: Contributing to the AI/ML community through various projects
• 📚 Continuous Learning: Always exploring new technologies and methodologies in AI/ML

• Expert Level: Python, JavaScript, HTML5, CSS3, TensorFlow, PyTorch, LangChain, AWS, GCP
• Advanced Level: LLM Fine-tuning, RAG Systems, MLOps, Docker, Kubernetes, Flask, Streamlit
• Proficient Level: C++, Java, C#, SQL, OpenCV, Spark NLP, Computer Vision, Data Analytics

A comprehensive medical assistant application combining intelligent medication management with AI-powered health features. Built with modern mobile development practices and cloud integration.

🌟 Key Features:

• Smart Medication Management: Customizable reminders, real-time adherence tracking, and flexible scheduling
• AI Health Companion: Symptom-based diagnosis assistant, medical chatbot, and treatment recommendations
• Professional Integration: ICD-10 medical coding and evidence-based treatment algorithms
• Analytics & Reporting: Detailed adherence reports, health trends visualization, and PDF export for healthcare providers
• Multi-Platform: Cross-device synchronization with Firebase cloud storage
• Global Accessibility: 7-language support (English, Turkish, French, Italian, German, Spanish, Dutch)

🔧 Tech Stack: Mobile Development, Firebase, AI/ML APIs, Medical Databases, Multi-language Localization

• Advanced AI & Large Language Models

  • LLM Fine-tuning & Optimization (PEFT, LoRA, QLoRA, FSDP)
  • Vision-Language Models (VLMs) & Multi-Modal Applications
  • Advanced RAG Systems (GraphRAG, Agentic RAG, Multi-Modal RAG)
  • AI Agent Development & Orchestration (LangGraph, CrewAI)
  • Prompt Engineering & Chain-of-Thought Reasoning
  • Model Deployment & Scaling in Production (vLLM, TensorRT-LLM)

• Natural Language Processing (NLP)

  • Named Entity Recognition (NER) & Information Extraction
  • Text Classification & Sentiment Analysis
  • Document Processing & Semantic Search
  • Clinical Text Mining & Healthcare NLP
  • Multilingual NLP & Machine Translation

• Machine Learning & Computer Vision

  • Deep Learning with PyTorch/TensorFlow
  • Computer Vision Applications & Object Detection
  • Time Series Analysis & Forecasting
  • Feature Engineering & Model Selection
  • Ensemble Methods & Model Optimization

• MLOps & Production Systems

  • Model Versioning & Management (MLflow, DVC, Weights & Biases)
  • CI/CD for ML Pipelines & Automated Testing
  • Containerized Model Serving (Docker, Kubernetes)
  • Production Model Monitoring & A/B Testing
  • Infrastructure as Code (IaC) & Auto-Scaling
  • Vector Database Management (Pinecone, Weaviate, ChromaDB)

• Software Engineering & Cloud

  • API Development & Microservices Architecture
  • Database Design & Management (SQL/NoSQL)
  • Cloud Computing & DevOps (AWS, GCP, Azure)
  • Real-time Systems & Stream Processing
  • Agile Development & Code Quality Practices

• 🎓 Academic Research: Master's thesis on LLM-RAG systems for medical applications at ATILIM University
• 🔬 Healthcare Innovation: Developing AI solutions for medical text analysis and clinical decision support
• �️ Full-Stack Development: Experience in both web and mobile application development
• 🤖 IoT & Robotics: Hardware projects including Arduino-based robot controllers
• �🌍 Open Source: Contributing to the AI/ML community through various projects
• 📚 Continuous Learning: Always exploring new technologies and methodologies in AI/ML

• Proficiency: HTML5, CSS3, JavaScript, jQuery, PHP, Bootstrap, Streamlit, NumPy, Pandas, Seaborn, Tableau, AWS, GCP

• Proficiency: C, C++, C#, Java, Python, SQL, Scikit-learn, Keras, TensorFlow, NLP, OpenCV

• 🚀 Next-Gen LLM Applications: Advanced fine-tuning, multi-modal AI, and agentic systems

• 🏥 Healthcare AI & Medical NLP: Clinical text processing and AI-powered medical decision support

• ⚙️ MLOps & Production AI: Scalable AI infrastructure, model deployment, and monitoring systems

• 🔬 AI Research & Innovation: Academic partnerships in AI/ML and healthcare technology

• 🌐 Open Source Contributions: Community-driven AI/ML projects and democratizing AI tools

• 🤖 AI Agents & Automation: Autonomous systems for complex problem-solving and workflow optimization

Current Interests:

• Multi-modal AI systems and vision-language models
• Advanced RAG architectures and semantic search
• AI agents and workflow automation
• Edge AI and model optimization
• Federated learning and privacy-preserving ML

I'm always interested in collaborating on cutting-edge projects, especially those involving:

Feel free to reach out if you'd like to discuss cutting-edge AI technologies, collaborate on innovative projects, or explore opportunities in AI research and development!

⭐️ From Cabir40