Retrieval-Augmented Generation (RAG) systems, Large Language Model (LLM) governance, Agent Development Kits (ADKs), Google Cloud Platform, Technical consulting, Python, Deploying production-grade cloud infrastructure, Cloud-based data solutions, Data lakes, Agentic AI architectures, Enterprise data warehouses, Enterprise cloud architecture, LLM-powered solutions, Enterprise guardrails, Gemini Enterprise, Advanced AI/ML architecture, intelligent agents, Data pipelines, AI security, Generative AI applications

BigQuery, Pyspark, Dataproc, Sql, Cloud Storage, Git, Terraform, DataFlow, Python, Gcp, Airflow, Cloud Composer, Pub Sub, CI CD

bigtable , Google Cloud Platform (GCP), Infrastructure as Code (IaC), Firebase, BigQuery, Machine Learning, Artificial Intelligence, Tableau, Automation, Itil, Sql, Data Science, Devops, Javascript, Python, Looker Studio

Open Policy Agent (OPA), Infrastructure as Code (IaC), Cloud Security, Gcp, Terraform, Azure, AWS, Generative AI, Anthropic, Vector Databases, Agentic AI, LLM APIs, RAG, Rego, Regula, OpenAI

AI Platform Infrastructure Engineering, MLOps LLMOps, Data Engineering Operationalization, Programming APIs, Automation Deployment Engineering, Security Governance

workflow engines , telemetry , Devops, Gcp, Terraform, Distributed Systems, Cloud Infrastructure, Release Engineering, Azure, Python, AWS, SRE principles, error budgets, automated rollback, deployment strategies, Infrastructure as Code, stateful systems, control planes, CI CD, orchestration platforms, promotion gates, SLOs, observability

Apis, Microservices, Rest Apis, Python, LLM and agent evaluation frameworks, model governance, LLMs, multi-agent orchestration, agent memory design, enterprise data concepts, tool-calling capabilities, agent development frameworks, GenAI applications, observability and tracing, guardrails for AI agents, RAG architecture