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
- ๐ฅ Medical QA with LLM-RAG: Completed Master's thesis project on windowed document splitting for medical question answering systems
- ๐ฎ Advanced RAG Systems: Multi-modal retrieval-augmented generation with vector databases (Pinecone, Weaviate, ChromaDB)
- ๐ฌ ChatGPT Clone: Built with LangChain and Streamlit for conversational AI experiences
- ๐๏ธ Multi-Modal VLM Systems: Fine-tuning and deploying Vision-Language Models for diverse applications
- ๐ค AI Agent Framework: Autonomous agents for complex task orchestration using LangGraph and decision-making
- ๐ง LLM Fine-tuning Pipeline: Custom PEFT/LoRA workflows for domain-specific language models
- ๐ง CAPTCHA Solver: Deep learning model for automated CAPTCHA recognition using CNN
- โ๏ธ Spark NLP for Healthcare: Advanced clinical text processing and entity recognition
- ๐ Medical Document Analysis: Automated extraction of clinical insights from medical texts
- ๐ Health Data Pipeline: End-to-end healthcare data processing workflows
- ๐ฉบ Disease Prediction System: Healthcare analytics for symptom-based diagnosis
- โ๏ธ End-to-End ML Pipelines: From data ingestion to model deployment and monitoring
- ๐ COVID-19 Time Series Analysis: Real-time pandemic data visualization and trend analysis
- ๐ AutoML & Hyperparameter Optimization: Automated model selection and tuning
- ๐งช A/B Testing Framework: Statistical testing for model performance evaluation
- ๐ Real-time Model Serving: High-performance API endpoints for ML model inference
- ๐ค 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
- ๐ Dual Master's Degrees: Completed advanced education in both Mathematics and Software Engineering
- ๐ฌ Healthcare Innovation: Developing AI solutions for medical text analysis and clinical decision support
- ๐๏ธ Full-Stack Development: Experience in both web and mobile application development
- ๐ค IoT & Robotics: Hardware projects including Arduino-based robot controllers
- ๐ Open Source: Contributing to the AI/ML community through various projects
- ๐ 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.
๐ 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)
๐ง Tech Stack: Mobile Development, Firebase, AI/ML APIs, Medical Databases, Multi-language Localization
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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)
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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
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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
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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)
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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
- ๐ Academic Research: Master's thesis on LLM-RAG systems for medical applications at ATILIM University
- ๐ฌ Healthcare Innovation: Developing AI solutions for medical text analysis and clinical decision support
- ๏ฟฝ๏ธ Full-Stack Development: Experience in both web and mobile application development
- ๐ค IoT & Robotics: Hardware projects including Arduino-based robot controllers
- ๏ฟฝ๐ Open Source: Contributing to the AI/ML community through various projects
- ๐ Continuous Learning: Always exploring new technologies and methodologies in AI/ML
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Proficiency: HTML5, CSS3, JavaScript, jQuery, PHP, Bootstrap, Streamlit, NumPy, Pandas, Seaborn, Tableau, AWS, GCP
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Proficiency: C, C++, C#, Java, Python, SQL, Scikit-learn, Keras, TensorFlow, NLP, OpenCV
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๐ Next-Gen LLM Applications: Advanced fine-tuning, multi-modal AI, and agentic systems
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๐ฅ Healthcare AI & Medical NLP: Clinical text processing and AI-powered medical decision support
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โ๏ธ MLOps & Production AI: Scalable AI infrastructure, model deployment, and monitoring systems
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๐ฌ AI Research & Innovation: Academic partnerships in AI/ML and healthcare technology
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๐ Open Source Contributions: Community-driven AI/ML projects and democratizing AI tools
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๐ค 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!
โญ๏ธ From Cabir40