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Nandini Kosgi
Mid-level AI/ML Engineer specializing in NLP, RAG systems, and real-time risk modeling
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About
AI/ML Engineer with 4+ years of experience (Capital One, Odin Technologies) and a master’s in Data Analytics (4.0 GPA) who has deployed LLM/RAG systems to production for compliance/risk and document review. Strong in orchestration and MLOps (Airflow, Kubernetes, MLflow, GitHub Actions) and in tackling real-world LLM constraints like latency, context limits, and data privacy, with measurable impact (20%+ manual review reduction; 33% faster release cycles).
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Key Strengths
- Built and deployed production LLM/RAG pipeline on AWS (SageMaker + Lambda + Docker) to reduce manual customer-communication review time
- Solved latency and context-window constraints using DistilBERT/GPT hybrid approach plus vector retrieval (Pinecone) with chunking and dynamic retrieval
- Orchestrated end-to-end ML workflows (Airflow, Kubernetes, MLflow, GitHub Actions) reducing model release cycles by 33%
- Designed reliability-focused AI agent workflows for fraud detection and document review using A/B testing and precision/recall evaluation
- Implemented production monitoring/observability for AI systems using Splunk dashboards
- Effective collaboration with non-technical compliance stakeholders; delivered automation that reduced manual review time by 20%
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