Databases, Apis, Software Architecture, Distributed Systems, System Design, non-functional requirements, service catalogs, security principles, performance reliability, event-driven systems, AI tools for architecture analysis, diagrams, CI CD, cloud-native design, reusable engineering patterns, Technical Standards, service modeling, modernization roadmaps, full-stack product engineering, integration patterns, architecture decision records, observability

snowflake , MLops, Gcp, Databricks, Azure, AWS, GenAI, LLMOps, Data engineering pipelines, Palantir, Agentic AI solutions, Llm, AI ML Data Science

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

snowflake , Java, Gcp, Javascript, MLops, Sap Hana, Databricks, Azure, Python, AWS, ML model evaluation, SAP Business Data Cloud, AI coding tools

snowflake , Metadata Management, Google Cloud Platform, Data Quality, MLops, Databricks, Microsoft Azure, Data Governance, AWS, GenAI, LLMs, AI Agents, AI governance frameworks, cloud-native architecture patterns, Analytics, Enterprise Data Platforms, Synapse, DataOps, MDM, Microsoft Fabric, AI solutions, RAG architectures

MLops, Docker, Kubernetes, LangChain, Agent to Agent Protocols, Generative AI, Vector DBs, AI architecture, GuardRails, LangGraph, AI Ethics Regulations, Embeddings, Agentic AI, Responsible AI, RAG pipelines, cloud-native AI platforms

Rest Apis, Sql, Databricks, Tensorflow, AI ML, Apache Spark, Pyspark, Azure Machine Learning, MLops, Pytorch, FastAPI, Python, Celery, Microsoft Azure, Azure OpenAI Service, Keycloak, Azure AI Foundry, LLMOps, chunking strategies, vector databases, Hugging Face Transformers, Azure AI Search, data embedding techniques, Generative AI