I am a Senior AI Engineer with 8+ years of experience spanning data analysis, machine learning, NLP pipeline development, Agentic AI, LLMOps and Generative AI engineering across financial services, healthcare, FMCG, and pharmaceutical industries. I currently architect a LangGraph hierarchical multi-agent platform at Vanguard coordinating autonomous agents with Agentic RAG, hybrid retrieval, MCP tool interfaces, and Claude 3.5 Sonnet via Amazon Bedrock for investment research. I have shipped production-grade NLP and GenAI systems including Intelligent Document Processing (IDP), RAG pipelines, multi-agent frameworks (LangGraph), and LLM automation using Claude 3.5 Sonnet, OpenAI GPT-4o, spaCy and Hugging Face Transformers. I bring a strong track record working with large-scale medical claims data, regulatory NLP, HIPAA-compliant pipelines, audit-ready outputs, and cross-functional collaboration to translate AI outputs into trusted, business-ready decisions.

Devi Naveena M

I am a Senior AI Engineer with 8+ years of experience spanning data analysis, machine learning, NLP pipeline development, Agentic AI, LLMOps and Generative AI engineering across financial services, healthcare, FMCG, and pharmaceutical industries. I currently architect a LangGraph hierarchical multi-agent platform at Vanguard coordinating autonomous agents with Agentic RAG, hybrid retrieval, MCP tool interfaces, and Claude 3.5 Sonnet via Amazon Bedrock for investment research. I have shipped production-grade NLP and GenAI systems including Intelligent Document Processing (IDP), RAG pipelines, multi-agent frameworks (LangGraph), and LLM automation using Claude 3.5 Sonnet, OpenAI GPT-4o, spaCy and Hugging Face Transformers. I bring a strong track record working with large-scale medical claims data, regulatory NLP, HIPAA-compliant pipelines, audit-ready outputs, and cross-functional collaboration to translate AI outputs into trusted, business-ready decisions.

Available to hire

I am a Senior AI Engineer with 8+ years of experience spanning data analysis, machine learning, NLP pipeline development, Agentic AI, LLMOps and Generative AI engineering across financial services, healthcare, FMCG, and pharmaceutical industries. I currently architect a LangGraph hierarchical multi-agent platform at Vanguard coordinating autonomous agents with Agentic RAG, hybrid retrieval, MCP tool interfaces, and Claude 3.5 Sonnet via Amazon Bedrock for investment research.

I have shipped production-grade NLP and GenAI systems including Intelligent Document Processing (IDP), RAG pipelines, multi-agent frameworks (LangGraph), and LLM automation using Claude 3.5 Sonnet, OpenAI GPT-4o, spaCy and Hugging Face Transformers. I bring a strong track record working with large-scale medical claims data, regulatory NLP, HIPAA-compliant pipelines, audit-ready outputs, and cross-functional collaboration to translate AI outputs into trusted, business-ready decisions.

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Experience Level

Expert
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Expert
Expert
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Expert
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Language

English
Fluent

Work Experience

Senior AI Engineer at Vanguard
February 1, 2025 - Present
Architected a production-grade LangGraph multi-agent document intelligence platform enabling analysts to synthesize insights from 200,000+ financial documents using hierarchical agent orchestration, Agentic RAG, and context engineering with Claude 3.5 Sonnet via Amazon Bedrock for audit-ready investment research at scale.
AI Engineer at Unilever (Genpact)
March 1, 2023 - July 31, 2024
Designed and delivered end-to-end Intelligent Document Processing (IDP) and NLP pipeline for Unilever using Azure Document Intelligence and GPT-4o, enabling 17,000+ supplier claim document processing, RAG grounding with FAISS, and automated ERP reconciliation; fine-tuned a LoRA-based Mistral-7B to route high-volume formats, achieving 90%+ extraction accuracy and 12–14 FTE savings.
AI Engineer at Genpact (Unilever)
March 1, 2023 - July 1, 2024
Designed and delivered end-to-end Intelligent Document Processing (IDP) and NLP pipeline for Unilever, transforming unstructured supplier claim documents into structured financial records via Azure Document Intelligence, GPT-4o-based extraction prompts, and a RAG grounding pipeline; reduced RAG inference costs and improved extraction accuracy with a fine-tuned model (LoRA) for high-volume vendor formats.
Data Scientist at Infinx Healthcare
February 1, 2020 - February 1, 2023
Applied ML, NLP, and data engineering to large-scale medical claims data to improve revenue cycle operations, optimize prior authorization workflows, and reduce claim denials across 10+ providers; built NLP pipelines to extract ICD-10 and CPT codes, and developed predictive models for denials and authorizations.
Data Analyst at Nasdaq
April 1, 2017 - January 1, 2020
Built SQL-based ETL pipelines, automated Python workflows for consolidating market data and SEC filings; conducted quantitative analysis, clustering, and anomaly detection to surface actionable equity insights and support investment research dashboards.

Education

Master of Science in Data Science at University at Buffalo - SUNY
January 11, 2030 - June 29, 2026
Master of Science in Data Science at University at Buffalo - SUNY
January 11, 2030 - June 29, 2026

Qualifications

Add your qualifications or awards here.

Industry Experience

Healthcare, Life Sciences, Financial Services, Software & Internet, Professional Services, Manufacturing