Overview: I design, build, and deploy production-ready Agentic AI workflows, enterprise Retrieval-Augmented Generation (RAG) pipelines, and low-latency backend infrastructure tailored to your business needs.

Multi-Agent Orchestration: Autonomous multi-agent workflows using LangGraph and CrewAI with shared persistent state layers and automated retry loops.

High-Speed Vector Retrieval: Custom vector index pipelines (Qdrant, PostgreSQL, ChromaDB) delivering sub-300ms retrieval SLAs across 1M+ embeddings.

Cost & Latency Optimization: LiteLLM model gateway setup with dynamic routing, prompt caching, and fallback handling to reduce LLM API expenses by up to 60%.

Custom Tool & Protocol Integration: Self-service Model Context Protocol (MCP) server development for context-aware tool execution and database querying.

High-Concurrency Microservices: Asynchronous FastAPI and AsyncIO backend services containerized using Docker and Kubernetes.

Requirements & Architecture Design: We map out your agent workflows, database schemas, and performance benchmarks.

Building & Integration: Constructing vector search pipelines, multi-agent loops, and REST/WebSocket API endpoints.

Testing & Optimization: Profiling latency, fine-tuning model routing, and validating retrieval accuracy.

Deployment & Handover: Delivering fully containerized Docker builds with complete documentation and support.