I'm a Full-Stack Developer passionate about leveraging AI/ML to solve real-world problems in healthcare. I specialize in building intelligent systems that bridge the gap between cutting-edge technology and practical clinical applications.
- 🔭 Currently working on AI-powered clinical decision support systems
- 🌱 Learning AI Agents, Advanced RAG architectures, Vector Databases, and LLM Fine-tuning
- 💡 Interested in Healthcare AI, Autonomous Agents, Machine Learning, and Full-Stack Development
- 🎯 Goal: Build impactful technology that improves patient outcomes
- 📫 Reach me: senaykt@gmail.com
AI-powered clinical decision support system using RAG + GPT-4
An intelligent healthcare platform that automates SOAP note generation, provides differential diagnoses, suggests ICD-10 codes, and recommends evidence-based treatment plans.
Tech: Python, FastAPI, OpenAI GPT-4, FAISS, React, RAG Architecture
Key Features:
- 🧠 RAG-powered semantic search through clinical knowledge base
- 📋 Automated SOAP note generation
- 🔍 AI-driven differential diagnosis with risk stratification
- 💊 Automatic ICD-10 medical coding
⚠️ Patient safety checks (allergy contraindications)
I'm actively building and will be adding more projects showcasing:
- Full-stack web applications
- Machine learning models
- API development
- Open source contributions
current_focus = {
"AI/ML": ["AI Agents", "Advanced RAG Systems", "Vector Databases", "LLM Fine-tuning"],
"Agent Frameworks": ["LangChain", "AutoGen", "Claude Agent SDK", "CrewAI"],
"Backend": ["Microservices Architecture", "GraphQL", "Real-time Systems"],
"DevOps": ["Kubernetes", "CI/CD Pipelines", "Cloud Deployment"],
"Healthcare": ["FHIR Standards", "HL7", "HIPAA Compliance"]
}- 🏥 Healthcare AI Development: Building RAG-powered clinical decision support systems
- 🤖 AI Agents & Automation: Developing intelligent autonomous agents with LangChain and Claude
- 🔧 Full-Stack Engineering: End-to-end application development with modern tech stacks
- 🧠 LLM Integration: Implementing GPT-4, Claude, embeddings, and vector search in production
- 📊 Data Engineering: Working with clinical data, medical coding, and patient analytics
