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Sharanya Rao
Mid-level Backend & Blockchain Engineer specializing in Cosmos SDK and EVM
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About
Built and productionized an LLM+RAG lending assistant on AWS to help loan officers quickly answer questions from credit policies and prior decisions, tackling hallucinations with retrieval-only responses and a no-context fallback. Also automated end-to-end ETL and model retraining/deployment using Apache Airflow, and has experience translating clinical stakeholder needs (doctors/care managers) into ML features, metrics, and dashboards.
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Key Strengths
- Built and deployed an LLM+RAG lending assistant for loan officers using credit policies and past decisions
- Strong focus on reliability: hallucination controls via retrieval-only answering and 'no answer available' fallback
- Production-minded optimization: addressed data quality and latency with validation, caching, and monitoring on AWS
- Hands-on Airflow orchestration to automate ETL, retraining, validation, deployment with retries/alerts/dependencies
- Metric-driven iteration: improved response accuracy via chunking, retrieval threshold tuning, and embedding updates
- Effective collaboration with non-technical stakeholders (doctors/care managers) using dashboards and clear explanations
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