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

Figma, Machine Learning, Data Science, Statistical Modelling, MS PowerPoint, advanced analytical techniques, end-to-end data science solutions

react.js , Yaml, Data Modelling, Maven, PostgreSQL, Node.js, Json, Microservices, Jenkins, Git, Swagger, Elasticsearch, Containers, Rest Apis, Kubernetes, cloud-native architecture, distributed-system architecture, CI/CD, Java Spring Boot, OpenAPI, observability

Automation, Ms Excel, Machine Learning, PostgreSQL

.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

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