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Ishwar Girase
Mid-level AI/ML Engineer specializing in LLMs, GenAI, and NLP
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About
AI/ML Engineer who built a production RAG-based LLM system for insurance policy documents, turning thousands of messy PDFs into a searchable index using LangChain, Azure AI Search vectors, hybrid retrieval, and FastAPI. Strong focus on evaluation (MRR/precision@k/recall@k, REGAS) and performance optimization (vLLM), with prior clinical NLP experience using BERT-based NER validated on ground-truth datasets.
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Key Strengths
- Built production RAG system indexing thousands of insurance policy PDFs with hybrid search and metadata filtering
- Improved retrieval reliability on messy/duplicated unstructured PDFs via normalization and chunking pipeline
- Reduced LLM latency by deploying vLLM inference server
- Measures search/retrieval quality with MRR, precision@k, recall@k and RAG evaluation tooling (Azure AI, REGAS)
- Clinical NLP entity extraction using BERT-based NER with ground-truth validation (precision/recall/F1)
- Designs production-grade Python workflows that are modular, observable, testable with strong validation (Pydantic)
- Scales services using Docker + Kubernetes with horizontal scaling approach
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