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

Python, Technical Architect, Solution Architect, AI Specialist

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, compliance alignment, agent workflow orchestration, evaluation dataset design, defining guardrails standards, LLMOps, AI GenAI architecture patterns, corpus preparation, prompt lifecycle management, CI CD, Security-by-design, network boundaries, monitoring approach, Data strategy architecture, embedding design, retrieval strategy, Governance guardrails, model registry, deployment strategy, Access Control, solution reference architectures