• Agentic AI Developer with 20yrs total experience and 5+ years of relevant experience in designing, building, and deploying production-grade autonomous AI systems and multi agent architectures at scale.
• Consistent track record of reducing manual workflow overhead, accelerating developer productivity, and delivering measurable business outcomes through intelligent automation and AI-first system design.
• Reduced processing times by 30%-40% with implementing Agentic AI workflows.
• Hands on expertise building LLM powered agents using LangChain, AutoGen, and CrewAI including agent memory, planning loops, reflection mechanisms, and tool-use patterns for complex task automation.
• Proven track record architecting multi agent systems with role-based agent orchestration, inter agent communication protocols, and hierarchical task decomposition for enterprise workflows.
• Deep experience designing Retrieval Augmented Generation (RAG) pipelines integrated with vector databases (Pinecone, Chroma, Weaviate) including chunking strategies, hybrid search, reranking, and embedding model optimization.
• Proficient in AI tool/function calling, API orchestration, and building dynamic toolchains that enable agents to reason, plan, and act across external systems and data sources in real time.
• Strong MLOps background covering CI/CD for AI pipelines, model versioning, observability, latency optimization, and scalable cloud deployment (AWS / Azure / GCP) for agentic workloads in production