I am an AI/ML & Cloud Computing professional primarily focused on the design and development of AI Agents. My expertise is centered on building agentic systems with best practices that ensure scalability, reliability, and maintainability. I work with agent architectures, applying advanced approaches such as Context Engineering and Prompt Engineering. I also design Agentic RAG pipelines that integrate retrieval with agents to achieve more accurate, grounded, and context-aware outcomes. In addition, I leverage Agent-to-Agent (A2A) communication and the Model Context Protocol (MCP) as key protocols for orchestrating interactions and context management in multi-agent environments. To ensure robustness at scale, I adopt strong practices in evaluations and observability, continuously testing, monitoring, and optimizing system performance.
