Open to opportunities

NIVAS ANNAMAREDDY

@nivasannamareddy

I build reliable production AI agents, RAG systems, and scalable ML services.

At Elevance Health, I design and ship production AI agents using LangChain and Amazon Bedrock, building secure FastAPI services, document-ingestion pipelines, and hybrid semantic retrieval that reduced hallucinations by 25% and vector-search latency by 25%.

Previously at Northern Trust and CVS Retail, I delivered RAG tools for financial document querying, Azure OpenAI summarization that reduced manual review by 30%, and forecasting models that improved retail planning accuracy by 20%. I bring hands-on experience across Python, AWS, Azure, ML evaluation, responsible AI, and production deployment.

Experience

Work history, roles, and key accomplishments

Current

Generative AI Engineer

Current

Elevance Health

Mar 2025 - Present (1 year 5 months)

Designed and shipped production AI agents using LangChain and Amazon Bedrock for enterprise knowledge retrieval. Built scalable AI services with FastAPI and Python, and developed prompt engineering frameworks that reduced hallucinations by 25%.

Lang Chain fastAPI Python Prompt Engineering OCR Sentence Transformers Vector Search AWS Lambda API Gateway S3 Docker Git Cloudwatch Responsible AI

AI / ML Engineer

Northern Trust

Jun 2023 - Jul 2024 (1 year 1 month)

Developed and deployed production RAG agents using Azure AI Search and vector embeddings for financial document querying. Built FastAPI RESTful APIs and automated evaluation pipelines to improve model reliability.

Azure AI Search RAG fastAPI Python Pandas SQL Azure OpenAI NLP Docker Agile

Data Scientist

CVS Retail

Oct 2021 - May 2023 (1 year 7 months)

Collected and analyzed sales, customer, and inventory data using Python and SQL. Developed machine learning models for demand forecasting and customer segmentation, and automated data preparation pipelines improving data quality by 22%.