I’m an AI Engineer with 5+ years of experience building agentic automation and end-to-end LLM/RAG applications that help businesses move faster with less manual effort. I’ve worked across LLM-powered document intelligence, inference services, and evaluation/observability pipelines, leveraging Python, LangChain/LangGraph, and modern ML tooling to deliver measurable improvements in workflow throughput and response speed.
In my recent work at Automation Anywhere, I design RAG systems and multi-tool AI agents that orchestrate enterprise documents, APIs, and business context while using guardrails and confidence-based human-in-the-loop escalation. Earlier, I built predictive models, recommendation systems, and computer vision/NLP pipelines, and I enjoy turning complex data problems into reliable production systems with strong evaluation and monitoring.
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