I will develop autonomous ai agents for your business

Building production-ready autonomous systems is an iterative process. While rapid deployment is crucial, I prioritize architectural stability, stateful memory management, and rigorous error-recovery loops to ensure your agents operate reliably without constant human supervision.

I design and implement custom agentic architectures tailored entirely to your business bottlenecks whether that requires local deployment on open-source frameworks or cloud-scalable infrastructure.

• Agentic Orchestration: LangGraph, CrewAI, AutoGen, stateful multi-agent systems.
• Workflow Automation: Self-hosted n8n, advanced Python backend pipelines, custom webhooks, and API integrations.
• LLM/VLM Integration: Deep implementation of multi-modal architectures (Vision-Language Models), custom tool calling (Function Calling), and structured JSON routing.
• DevOps & Agentic CI/CD: Autonomous testing, self-healing deployment pipelines, containerization (Docker, AWS, Google Cloud), and automated AI Evaluation (Evals) setups.
• Memory & RAG: Advanced Retrieval-Augmented Generation, vector databases (Qdrant, Pinecone), and context-window optimization.