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Nandini Kosgi
Mid-level AI/ML Engineer specializing in LLMs, RAG, and fraud/risk analytics in Financial Services
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About
Built and shipped a production-grade GenAI Fraud & Compliance Investigation Copilot for a large US bank, integrating OCR docs, structured data, and prior case history to generate grounded, regulator-friendly summaries and red-flag highlights. Demonstrates strong end-to-end LLM systems engineering (LangGraph/LangChain, hybrid retrieval with FAISS+BM25, guardrails/citations, streaming/latency optimization) plus rigorous evaluation and close partnership with compliance stakeholders.
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Key Strengths
- Built and deployed a production GenAI fraud & compliance investigation copilot for a large US bank
- Strong hallucination controls via strict grounding with snippet citations and automated guardrail rejection
- Improved retrieval quality using semantic chunking, hybrid FAISS+BM25 search, and LLM query rewriting
- Designed low-latency user experience via parallelized retrieval/orchestration and streaming outputs
- Deep hands-on orchestration experience (LangGraph multi-agent/stateful flows; LangChain pipelines; Airflow; Kubernetes)
- Reliability-focused evaluation approach: scenario-based tests, prompt regression, and labeled retrieval benchmarks
- Effective collaboration with non-technical compliance investigators (shadowing workflows, translating rules into requirements/guardrails)
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