Microsoft Azure, Azure Machine Learning, RFP responses, LLM-based solutions, generative AI, agentic AI patterns, Azure AI services, Azure AI Search, Azure OpenAI, Azure AI Foundry, RAG architectures

RAG (Retrieval-Augmented Generation), Large Language Models (LLMs), Data Enrichment, Machine Learning, Summarization, Model Integration, Entity Extraction, Feature Engineering, Agent Orchestration Platforms, Context-aware Retrieval Systems, Transformer-based Models, Topic Modeling, Vector Databases

Ms Excel, automation solutions, PostgreSQL, Machine Learning, Applied AI

.NET, SQL Server, Nosql, RDBMS, Azure Functions, Hl7, Microsoft Azure, MongoDB, Restful Apis, Azure Machine Learning, Dicom, Oracle, C#, AI Architecture Design, GenAI, FHIR, Azure OpenAI, Llm, Azure Service Bus, Astm, RAG, Azure Cosmos

data engineering , Java, Hadoop, Data Science, Cassandra, Python, Azure, Gcp, Scala, AWS, Ai, Apache Spark™, R

Return on Investment (ROI), Google Cloud Platform (GCP), Retrieval-Augmented Generation (RAG), Distributed Systems, Technical Architecture, Cloud Computing, Software Development, Python, Custom Model Development, Machine Learning Architecture, Model Bias, AI Roadmaps, Model Evaluation Frameworks, Integration of Third-Party Foundation Models, Model Deployment, AI Ethics, data solutions, Prompt Engineering

Agile Methodologies, Kafka, MLops, Jboss, Helm, Gcp, REST, PostgreSQL, Databases, Websphere, Github, Application Server, AWS, Cloud Services, Oracle, Azure, Graphql, Docker, Spark, machine learning frameworks, AI-driven solutions, AI ML frameworks, big data technology, cloud platforms, CI CD, deployment tools, GitHub Actions, data pipelines, API integration technologies