Apis, Apache Spark, Sql, Git, Python, Orchestration, Automated Testing, ELT, Data Quality, Containers, Etl, ML data preparation, embeddings, lineage, vector databases, CI CD, Search, cloud data platforms, Access Control, metadata, observability

Python, model evaluation, RAG agents, vector databases, modern AI frameworks, fine-tuning trade-offs

Machine Learning, Python, Model performance validation, Generative AI, AI LLM evaluation and testing methodologies, Modern AI LLM frameworks and APIs, AI Engineering, Building and deploying end-to-end AI solutions, Prompt Engineering

object storage , Kubernetes, Sql, Openshift, Cloud Architecture, Kafka, Git, Data Governance, Github, Gitlab, Python, Docker, Spark, AI orchestration frameworks, AI ML frameworks, Regulatory Compliance, MCP cloud-native AI services, cloud platforms, Agentic AI Architecture Development, event-driven architectures using Kafka, integration patterns, CI CD pipelines, API standards, multi-agent systems, K8S, MLOps practices, modern AI tooling, workflow orchestration, AI engineering

DevSecOps, Artificial Intelligence, Gcp

Python, AWS, Generative AI, Agentic AI, Azure AI, CI/CD

Python, Javascript, Sql, Iam, Azure Cloud, Aws Cli, Docker, Rest Apis, Fast API, Microsoft Entra ID

Terraform, Google Cloud, LangChain, Cloud Run, Gemini models, Vertex AI, Cloud SQL, Spanner, LlamaIndex, Google GenAI SDK

data engineering , Artificial Intelligence, Python, Sql, Pyspark, Devops, Api Integration, Microservices, Terraform, Azure Devops, Github, Kubernetes, Docker, Solution Architecture, Effort Estimation, Rfp, Rfi, Requirement Gathering, Solution Design, Cloud Architecture, Aws, Azure, Gcp, Data Architecture, Databricks, Etl, Resource Planning, Proposal Development, Stakeholder Management, Llm