data engineering , Cloud Architecture, Databases, Microsoft Azure, Python, AWS, Oauth, Google Cloud Platform, Api Development, Distributed Systems, Model fine-tuning, JSON-RPC, Microservices architecture, GraphRAG, Generative AI, LLMOps, AI evaluation frameworks, MCP REST APIs, AI architecture, LoRA, SQL agents, QLoRA, Advanced retrieval architectures, Event-driven architectures

MLops, Observability monitoring and cost optimization, AWS Bedrock, API integration and platform engineering, AI model hosting and deployment strategies, LLMOps, Responsible AI and AI governance, Vector databases, Vertex AI, Data privacy security and compliance, Azure OpenAI

Gdpr, Gcp, Apis, Azure, Microservices, AWS, cloud governance, agentic AI, Ai, RAG vector search, LLMs, privacy consent, COTS SaaS integration, document grounding, GenAIOps

Data Modeling, Orms, FastAPI, Python, AWS, embeddings, multi-agent systems, business-logic design, vector databases, prompt engineering, LangGraph, LLM-powered applications, guardrails, AI evaluation, RAG pipelines, observability

data engineering , snowflake , Adf, Data Architecture, Data Warehousing, Informatica, Talend, Python, AWS, Data Modelling, Sql, Gcp, Databricks, Azure, AI ML solutions, AutoGen MCP, Lang Graph, Lang Chain, vector databases, Pinecone, AI agent design development, ETL-ELT frameworks, Lakehouse architectures, FAISS, dbt, Glue, cloud data platforms, LLM-based application development

containerization , Graphql, Kafka, Rest Apis, Kubernetes, Python, CrewAI, event-driven microservices, DMN, Go, event streaming, agent harness, Semantic Kernel, GRPC, AutoGen, LangGraph, BPMN 2.0

.NET, Python, Evaluation frameworks and metrics for AI systems, AI observability monitoring, Vector databases, LLM orchestration, RAG architectures