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I'm Lavanya Nallabelli—a Generative AI Engineer with 9+ years of experience designing, developing, deploying, and supporting machine learning, NLP, data engineering, and cloud-native solutions. I specialize in enterprise LLM applications, Azure OpenAI, LangChain, RAG, and AI-agent delivery, with a focus on robust, governance-friendly production systems.\n\nI design end-to-end AI platforms, build agentic workflows, and implement MLOps/LLMOps, guardrails, and human-in-the-loop reviews to ensure responsible AI, auditability, and business impact. I enjoy collaborating with cross-functional teams to translate complex requirements into scalable, maintainable AI solutions that deliver measurable value.…I'm Lavanya Nallabelli—a Generative AI Engineer with 9+ years of experience designing, developing, deploying, and supporting machine learning, NLP, data engineering, and cloud-native solutions. I specialize in enterprise LLM applications, Azure OpenAI, LangChain, RAG, and AI-agent delivery, with a focus on robust, governance-friendly production systems.\n\nI design end-to-end AI platforms, build agentic workflows, and implement MLOps/LLMOps, guardrails, and human-in-the-loop reviews to ensure responsible AI, auditability, and business impact. I enjoy collaborating with cross-functional teams to translate complex requirements into scalable, maintainable AI solutions that deliver measurable value.

Lavanya Nallabelli

AI Engineer, Data Scientist, Full Stack Developer, +1

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I'm Lavanya Nallabelli—a Generative AI Engineer with 9+ years of experience designing, developing, deploying, and supporting machine learning, NLP, data engineering, and cloud-native solutions. I specialize in enterprise LLM applications, Azure OpenAI, LangChain, RAG, and AI-agent delivery, with a focus on robust, governance-friendly production systems.\n\nI design end-to-end AI platforms, build agentic workflows, and implement MLOps/LLMOps, guardrails, and human-in-the-loop reviews to ensure responsible AI, auditability, and business impact. I enjoy collaborating with cross-functional teams to translate complex requirements into scalable, maintainable AI solutions that deliver measurable value.…I'm Lavanya Nallabelli—a Generative AI Engineer with 9+ years of experience designing, developing, deploying, and supporting machine learning, NLP, data engineering, and cloud-native solutions. I specialize in enterprise LLM applications, Azure OpenAI, LangChain, RAG, and AI-agent delivery, with a focus on robust, governance-friendly production systems.\n\nI design end-to-end AI platforms, build agentic workflows, and implement MLOps/LLMOps, guardrails, and human-in-the-loop reviews to ensure responsible AI, auditability, and business impact. I enjoy collaborating with cross-functional teams to translate complex requirements into scalable, maintainable AI solutions that deliver measurable value.

Available to hire

I’m Lavanya Nallabelli—a Generative AI Engineer with 9+ years of experience designing, developing, deploying, and supporting machine learning, NLP, data engineering, and cloud-native solutions. I specialize in enterprise LLM applications, Azure OpenAI, LangChain, RAG, and AI-agent delivery, with a focus on robust, governance-friendly production systems.\n\nI design end-to-end AI platforms, build agentic workflows, and implement MLOps/LLMOps, guardrails, and human-in-the-loop reviews to ensure responsible AI, auditability, and business impact. I enjoy collaborating with cross-functional teams to translate complex requirements into scalable, maintainable AI solutions that deliver measurable value.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Language

English

Fluent

Work Experience

Generative AI Engineer at Cardinal Health

March 1, 2025 - Present

Designed and supported enterprise Generative AI applications using Python, FastAPI, LangChain, LangGraph, LlamaIndex, and Azure OpenAI for healthcare document intelligence, internal knowledge search, workflow automation, and AI-assisted business operations. Built production-ready RAG pipelines with document chunking, embeddings, vector search, metadata filtering, reranking, and context-aware prompt orchestration. Implemented MCP-based Model Context Protocol server to expose Azure AI Search retrieval, document metadata, validation services, and internal APIs as standardized agent tools. Deployed secure healthcare document-intelligence workflows with Azure Blob Storage, Key Vault, Monitor, DevOps, and Kubernetes. Created reusable prompt-engineering frameworks with guardrails and validated responses to improve groundedness and reduce hallucinations. Implemented MLOps/LLMOps practices for experiment tracking, versioning, and controlled releases, and collaborated with data engineers and bus

AI/ML Engineer at Target

August 1, 2023 - February 1, 2025

Built end-to-end ML and AI workflows for retail use cases including demand forecasting, personalization, and recommendation systems. Ingested data, engineered features, trained and evaluated models, and deployed solutions using BigQuery, Vertex AI, and Dataproc. Implemented time-series forecasting (ARIMA, Prophet, LSTM), classification, regression, clustering, and hybrid ranking approaches. Delivered batch and near-real-time inference via containerized services and REST APIs, integrating models with downstream analytics and business systems. Led experiment tracking, model versioning, and CI/CD for reliable releases.

AI & ML Engineer at Verizon Communications

May 1, 2021 - July 1, 2023

Designed end-to-end ML workflows for customer intelligence, churn analysis, forecasting, anomaly detection, and NLP-based content analysis. Built data pipelines with Azure Databricks, Spark, and Azure Data Lake; developed NLP pipelines for sentiment, NER, semantic search, and document-content analysis. Implemented batch and event-driven inference, MLOps with Azure ML, MLflow, Kubeflow, and containerized services with Docker/Kubernetes. Applied explainability (SHAP/LIME) and governance practices; collaborated with cross-functional teams to deliver production-grade analytics and AI capabilities.

ML Engineer at First Republic Bank

January 1, 2019 - April 1, 2021

Developed data-science solutions for financial analytics including customer segmentation, risk analysis, forecasting, and anomaly detection. Built ETL pipelines, feature engineering, and model development with Python, R, scikit-learn, XGBoost, TensorFlow, and PyTorch; deployed models via SageMaker and containerized services; created dashboards with Power BI/Tableau to communicate results; established data-quality controls and collaborated with stakeholders.

Python Developer / Data Analyst at Sonata Software

September 1, 2016 - August 1, 2018

Designed reporting and analytics solutions that standardized KPI definitions, data models, and business-performance reporting across stakeholder groups. Built complex SQL queries, created Power BI/Tableau dashboards, and automated reporting pipelines with SQL, Python, and Azure Data Factory. Implemented data-quality checks, KPI alerting, and self-service analytics enablement; integrated data from ERP, CRM, APIs, and cloud sources for governed analytics.