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Ananya George

@ananyageorge

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I build responsible AI systems using RAG, multimodal sensing, and machine learning.

India

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What I'm looking for

I'm looking to build responsible AI and machine-learning systems, especially RAG, multimodal intelligence, and human-centered applications where explainability, ethics, and real-world impact matter.

I've built Elafi at Allianz Services, a modular four-agent RAG pipeline using FastAPI, Pinecone, Cohere Rerank, Ollama/Llama3, and LlamaIndex. I designed validation, extraction, embedding, retrieval, and reranked generation flows with auditable Pydantic contracts.

I'm also designing a multimodal sensor fusion system for real-time deception and cognitive-load detection, combining physiological, behavioral, and speech signals. My work prioritizes low-latency classification, signal processing, bias mitigation, explainability, and ethical AI use in high-stakes settings.

I built an intelligent learning environment for autism spectrum learners using Python and OpenCV, with real-time stroke recognition, adaptive progression, and performance analytics.

Alongside my technical work, I lead the WIE IEEE Affinity Group at RSET and manage finances for the ACM RSET Student Chapter. I'm researching how LLM use may shape global thought patterns and individual cognitive expression.

Experience

Work history, roles, and key accomplishments

Business Analytics Intern

Allianz Services

May 2026 - Jul 2026 (2 months)

Built Elafi, a modular 4-agent Retrieval-Augmented Generation (RAG) pipeline, integrating FastAPI, Pinecone, Cohere Rerank, and Ollama/Llama3. Applied working knowledge of the EU AI Act's risk-tiering framework to inform explainability and documentation practices for the internal AI system.

fastAPI Pinecone Ollama LlamaIndex RAG EU AI Act