Rabbia Arshad@Root
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Pakistan
5+ years of experience
About me
AI Engineer passionate about building agentic systems, LLM-powered automation, and data-driven intelligence that actually work in production. My work focuses on designing and deploying multi-agent frameworks, RAG pipelines, and evaluation systems to make AI outputs more reliable and actionable. I started out in the era before GPTs were a thing, when you had to build models from scratch using classical machine learning, image processing, and time-series forecasting. That foundation taught me the discipline of data, experimentation, and optimization that I now bring to modern LLM and GenAI systems. Since then, I’ve engineered solutions using Python, FastAPI, and AWS (Lambda, SageMaker, ECS); integrated LangChain, LangGraph, and CrewAI for intelligent orchestration; and worked with vector databases like Pinecone, Weaviate, and Chroma to give AI systems context and memory. Driven by curiosity and execution, I enjoy bridging the gap between AI research and engineering, turning complex ideas into working, measurable systems that deliver real business value.
