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Rahul Alle
Mid-level Machine Learning Engineer specializing in NLP, LLMs, and MLOps
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About
Built a production internal LLM/RAG assistant at CVS Health to cut time spent searching long policy and clinical guideline PDFs, combining fine-tuned BERT/GPT models with FAISS retrieval and a FastAPI service on AWS. Demonstrates strong real-world reliability work (document cleanup, hallucination controls, monitoring/drift tracking with MLflow) and close collaboration with non-technical clinical operations teams via demos and feedback-driven iteration.
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Key Strengths
- Built and deployed an internal LLM-powered document Q&A assistant for policy/clinical/operational docs
- Strong document preprocessing and chunking to improve retrieval quality (handling messy tables/headers/repeated text)
- Practical hallucination reduction via tighter retrieval and forcing answers from retrieved context
- Production-minded MLOps: MLflow tracking, monitoring for drift, accuracy/latency/error rates
- Hands-on orchestration of end-to-end ML/ETL workflows with Airflow (DAGs, dependencies, retries) integrated with AWS
- Effective collaboration with non-technical clinical operations stakeholders using demos, iterative feedback, and UX mechanisms (feedback button)
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1 publication
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