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I am a results-driven AI/ML Engineer with over three years of end-to-end machine learning experience, spanning production-scale RAG systems on AWS Bedrock to published research at IEEE CAI 2025. I thrive at the intersection of applied research and deployment-ready engineering, delivering solutions that move from prototype to production with measurable impact. In my current role at DataBridge Solutions I architected a production-grade RAG-based financial chatbot that ingests 8,000+ compliance documents with sub-5-second retrieval latency, lifting answer accuracy from 71% to 88% on 300 curated QA pairs. I also built MCP-based tool integrations connecting the chatbot to live portfolio APIs and market feeds, reducing advisor escalations by 35% and eliminating manual lookups.…I am a results-driven AI/ML Engineer with over three years of end-to-end machine learning experience, spanning production-scale RAG systems on AWS Bedrock to published research at IEEE CAI 2025. I thrive at the intersection of applied research and deployment-ready engineering, delivering solutions that move from prototype to production with measurable impact. In my current role at DataBridge Solutions I architected a production-grade RAG-based financial chatbot that ingests 8,000+ compliance documents with sub-5-second retrieval latency, lifting answer accuracy from 71% to 88% on 300 curated QA pairs. I also built MCP-based tool integrations connecting the chatbot to live portfolio APIs and market feeds, reducing advisor escalations by 35% and eliminating manual lookups.

Nivegna Lagadapati

AI Engineer, Data Scientist, Full Stack Developer, +2

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I am a results-driven AI/ML Engineer with over three years of end-to-end machine learning experience, spanning production-scale RAG systems on AWS Bedrock to published research at IEEE CAI 2025. I thrive at the intersection of applied research and deployment-ready engineering, delivering solutions that move from prototype to production with measurable impact. In my current role at DataBridge Solutions I architected a production-grade RAG-based financial chatbot that ingests 8,000+ compliance documents with sub-5-second retrieval latency, lifting answer accuracy from 71% to 88% on 300 curated QA pairs. I also built MCP-based tool integrations connecting the chatbot to live portfolio APIs and market feeds, reducing advisor escalations by 35% and eliminating manual lookups.…I am a results-driven AI/ML Engineer with over three years of end-to-end machine learning experience, spanning production-scale RAG systems on AWS Bedrock to published research at IEEE CAI 2025. I thrive at the intersection of applied research and deployment-ready engineering, delivering solutions that move from prototype to production with measurable impact. In my current role at DataBridge Solutions I architected a production-grade RAG-based financial chatbot that ingests 8,000+ compliance documents with sub-5-second retrieval latency, lifting answer accuracy from 71% to 88% on 300 curated QA pairs. I also built MCP-based tool integrations connecting the chatbot to live portfolio APIs and market feeds, reducing advisor escalations by 35% and eliminating manual lookups.

Available to hire

I am a results-driven AI/ML Engineer with over three years of end-to-end machine learning experience, spanning production-scale RAG systems on AWS Bedrock to published research at IEEE CAI 2025. I thrive at the intersection of applied research and deployment-ready engineering, delivering solutions that move from prototype to production with measurable impact.

In my current role at DataBridge Solutions I architected a production-grade RAG-based financial chatbot that ingests 8,000+ compliance documents with sub-5-second retrieval latency, lifting answer accuracy from 71% to 88% on 300 curated QA pairs. I also built MCP-based tool integrations connecting the chatbot to live portfolio APIs and market feeds, reducing advisor escalations by 35% and eliminating manual lookups.