Akash Shinde

I’m an AI Engineer with 3 years of production experience designing, developing, and deploying intelligent multi-agentic systems and LLM-powered applications within enterprise workflow platforms. I bring deep expertise in agentic AI architectures, including Model Context Protocol (MCP), Agent-to-Agent (A2A) communication patterns, and agent workflow automation using LangChain, LlamaIndex, Haystack, and Ollama.

I build solutions with strong security guardrails and ethical AI practices—using prompt security, anti-data-leakage controls, and compliance-aware deployment—so teams can ship AI safely under enterprise governance. In my roles, I’ve deployed scalable AI-integrated microservices with Python FastAPI and Java Spring Boot on AWS EKS using Docker and Kubernetes, maintained 99.99% system uptime, and delivered measurable outcomes like faster workflow execution, reduced manual effort, and improved retrieval and response performance through RAG and vector search.