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Sharanya Rao
Mid-level AI/ML Engineer specializing in NLP, LLMs, and RAG for finance and healthcare
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About
Built an AI lending assistant (RAG + DeBERTa) used by credit analysts to retrieve policies and past loan decisions, tackling real production issues like hallucinations, document quality, and sub-second latency. Deployed a modular, Dockerized AWS architecture (ECS/EMR + load balancer) with load testing, caching/precomputed embeddings, and CloudWatch monitoring, and used Airflow to automate scheduled data/embedding/vector DB refresh pipelines with retries and alerts.
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Key Strengths
- Built and deployed a production RAG-based lending assistant for credit analysts
- Designed scalable, containerized microservices on AWS with horizontal scaling behind a load balancer
- Performance engineering with load testing and p95 latency targets (~1s) plus caching/precomputation
- Improved reliability by addressing hallucinations and poor document quality via prompt constraints and Spark-based cleaning
- Operational rigor: monitoring/alerting with CloudWatch and ongoing evaluation runs
- Airflow orchestration of end-to-end data/embedding/vector DB refresh pipelines with retries and alerts
- Strong cross-functional collaboration translating credit analyst workflows into technical requirements
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