🔭 I'm currently working on .NET 9 Clean Architecture and AI-powered enterprise solutions!

🤖 Building intelligent applications with:

• 🧠 Large Language Models (LLMs) - OpenAI GPT-4, Claude, Llama 3, Mistral
• 🎯 RAG (Retrieval-Augmented Generation) - Semantic search, vector databases (Pinecone, Qdrant, Weaviate)
• 🔗 LangChain & Semantic Kernel - Agent-based AI workflows and orchestration
• 💬 Conversational AI - Chatbots, virtual assistants, and intelligent automation
• 🖼️ Computer Vision & ML - YOLO, TensorFlow, PyTorch for image/video analysis
• 📊 AI Model Integration - Hugging Face, Azure AI, AWS Bedrock, Google Vertex AI

🌱 Current Focus Areas:

• 🚀 Cloud-Native & Microservices
  • 🌐 Dapr (Distributed Application Runtime) in production
  • 🔄 Service Mesh (Istio, Linkerd) for advanced traffic management
  • 📡 gRPC & HTTP/3 for high-performance communication
  • 🎭 Event-Driven Architecture with Kafka, Azure Event Hubs, RabbitMQ
  • 📦 CQRS, Event Sourcing, and Domain-Driven Design (DDD)
• ☁️ Modern Cloud Platforms
  • ☁️ Multi-cloud strategies (Azure, AWS, GCP)
  • ⚡ Serverless computing (Azure Functions, AWS Lambda)
  • 📊 Observability (OpenTelemetry, Prometheus, Grafana, Jaeger)
• 🛡️ DevSecOps & Platform Engineering
  • 🔐 Zero Trust security architecture
  • 🔒 Supply chain security (SBOM, SLSA, Sigstore)
  • 🤖 GitOps with ArgoCD, FluxCD
  • 📈 Infrastructure as Code (Terraform, Pulumi, Bicep)
• 🎯 AI/ML Engineering
  • 🏗️ MLOps pipelines and model deployment
  • 🔍 Prompt engineering and fine-tuning strategies
  • 🧪 A/B testing for AI models
  • 📚 Knowledge graphs and semantic web technologies

🥅 2026 Goals: Build open-source AI tools and contribute to the developer community