pruning , Pyspark, React, Hive, Spark, Python Programming, Langchain, monitoring ML LLM systems, LLM applications, UDFs, feature engineering, feature selection

Prometheus, Grafana, Gcp, Docker, Terraform, Linux, Azure, Helm, Python, Kubernetes, AWS, OPA, GitOps, Kyverno, API integrations

Tensorflow, Pytorch, Azure, Python, AWS, LangChain, Generative AI, Scikit-learn, Llm, RAG, OpenAI, Gemini, Amazon Bedrock

Api, Python, LangGraph, Langchain, Agentic AI, LLMs

Ml, Apis, PostgreSQL, FastAPI, Python, CrewAI, multi-agent frameworks, fine-tuning, Langchain, RAG systems, LLMs, Vector databases, agent orchestration patterns, Ai, cloud-based AI services, Anthropic, data processing libraries, prompt engineering, Google AI services, data modeling for AI workloads, asyncio, OpenAI, LlamaIndex

Servicenow, API security, Sap Solution Manager, automation, AWS, cloud security, Oauth2, SAP BTP, Gcp, Azure, Kubernetes, AI ML Generative AI, Kyma, AI registries, SAP technologies, Agentic AI systems, OWASP Top 10 for LLMs, AI-specific threats, secure design practices, RAG patterns, cloud-native environments, OWASP Agentic AI security concepts, Security Architecture, microservices architecture, infrastructure-as-code, CI CD pipelines, OIDC

data engineering , snowflake , BigQuery, Redshift, Sql, Pandas, Javascript, Databricks, Python, Generative AI, Salesforce D360, Data Cloud, R, Jupyter, Cross-platform integrations, Agentforce platform, AI architectures, MuleSoft APIs

Iot, Tensorflow, Software Development Lifecycle, Confluence, Pytorch, Javascript, Agile, Scrum, automation, Python, AWS, Java, Jira, Continuous Delivery, Enterprise Architect, Blockchain, Gcp, Agile Methodologies, Azure, distributed ledger technologies, Data Storage, data lakes, security standards, Kanban, DevOps practices, enterprise architecture strategies, Ai, cloud platforms, scalable system design, CI CD tools

snowflake , Pandas, Power Bi, Qlik, Tableau, Vba Macros, Excel, Python, Sql