Python, Azure OpenAI LLMs, Azure cloud services and architecture, AI development tools and libraries

.NET, containerization , Java, Apigee, Python, LangChain, Big Query, vector search, Cloud Spanner, Cloud Functions, fine-tuning, data pipelines, GKE, model training, RAG patterns, multi-cloud environments, Istio, Pinecone, Pub Sub, FAISS, Weaviate, GCP services, Fire store

Java, Apis, Logging, Automated Testing, Microservices, Devops, Python, RAG agent architectures, Monitoring, reliability engineering, data systems, AI frameworks

vectorization , Tensorflow, Gcp, Pytorch, MLops, Docker, Azure, Kubernetes, Python, AWS, Data lakes, Generative AI, Transfer Learning, LLMs, Azure OpenAI Service, Fine-Tuning, Embedding models, Google Vertex AI, RAG, Data pipelines, Amazon Bedrock, Transformer architectures

.NET, Mqtt, Angular, Python, Kubernetes, Industrial IoT protocols, LLMOps principles, AI platforms, AI observability practices, DevSecOps practices, cloud-native technologies, Agentic AI systems, MCP architecture, distributed AI platform architectures, CI CD pipelines, OPC UA

.NET, Design Patterns, Solid Principles, Enterprise Integration, Python, Agentic AI Design, Dataverse, Graph API, RAG AI Agents, Azure OpenAI, Azure AI Services, Dynamics, Sharepoint, Azure Cloud Application Development, Prompt Engineering