Cloud Devops, Restful Apis, Kubernetes, Full Stack Development, LangChain, CrewAI, RAG tool usage, Prompt engineering, Autonomous workflows, Agent orchestration patterns, Agentic AI applications, Microservices design, Semantic Kernel, AutoGen, LLM-based frameworks, Multi-agent systems, LlamaIndex

Java, Prometheus, Elk Stack, Node.js, Grafana, Microservices, Typescript, MLops, Docker, Kubernetes, Python, AWS, LLMOps, Vector databases, Go, GraphQL API, Event-driven architectures

Servicenow, Jira, Devops, AWS ECS, Agile Methodologies, Python, LLM orchestration layers, Confluence API integrations, cloud-native deployments, vector databases, CI CD, data sensitivity considerations, AI-assisted software development tools, MCP-based tool integrations, RAG pipelines, application resiliency patterns

AWS, Java, Microservices, Grafana, Typescript, MLops, Prometheus, Node.js, Kubernetes, Python, Docker, Elk Stack, GraphQL API, Go, Vector databases, LLMOps, Event-driven architectures

MySQL, PostgreSQL, MongoDB, FastAPI, Kubernetes, Python, LangChain, LangGraph, LLM fine-tuning, RAG pipelines

Agile Methodologies, AWS ECS, Python, Devops, vector databases, RAG pipelines, application resiliency patterns, AI-assisted development, automation capabilities, MCP-based tool integrations, LLM orchestration layers, cloud-native deployments

FastAPI, Kubernetes, Python, Docker, PostgreSQL, agent memory systems, context management strategies, platform-level engineering standards, Ragas, prompt lifecycle management, LLM engineering, Azure OpenAI, RLHF, RAG pipeline architecture, LLM evaluation and observability practices, LangChain, pgvector, financial close Record-to-Report accounting, model fine-tuning, LangGraph

prompt engineering & API integration, full-stack AI development, AI model fine-tuning, AI optimization, RAG

snowflake , BigQuery, Pyspark, Redshift, Sql, Redis, Apache Airflow, Docker, Apache Kafka, Databricks, FastAPI, Kubernetes, Python, LangChain, Qdrant, Pinecone, Anthropic, Azure OpenAI, LangGraph, dbt, Weaviate