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I am Nishitha Dhanekula, a Senior Generative AI Engineer with 10+ years of experience delivering enterprise-scale AI/ML solutions across Banking, Healthcare, Retail, and Cloud Technology domains. I specialize in building production-grade Generative AI applications, Agentic AI systems, and Retrieval-Augmented Generation platforms, while emphasizing Responsible AI, governance, and safety for enterprise deployments. I enjoy turning complex data and knowledge repositories into practical, scalable AI-powered solutions that align with business objectives and user needs. In collaboration with cross-functional teams, product managers, and stakeholders, I design end-to-end AI platforms, implement MLOps/LLMOps pipelines, and establish observability and governance frameworks to ensure reliable, secure, and impactful AI outcomes.…I am Nishitha Dhanekula, a Senior Generative AI Engineer with 10+ years of experience delivering enterprise-scale AI/ML solutions across Banking, Healthcare, Retail, and Cloud Technology domains. I specialize in building production-grade Generative AI applications, Agentic AI systems, and Retrieval-Augmented Generation platforms, while emphasizing Responsible AI, governance, and safety for enterprise deployments. I enjoy turning complex data and knowledge repositories into practical, scalable AI-powered solutions that align with business objectives and user needs. In collaboration with cross-functional teams, product managers, and stakeholders, I design end-to-end AI platforms, implement MLOps/LLMOps pipelines, and establish observability and governance frameworks to ensure reliable, secure, and impactful AI outcomes.

Nishitha Dhanekula

Data Scientist, AI Engineer, Developer, +2

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I am Nishitha Dhanekula, a Senior Generative AI Engineer with 10+ years of experience delivering enterprise-scale AI/ML solutions across Banking, Healthcare, Retail, and Cloud Technology domains. I specialize in building production-grade Generative AI applications, Agentic AI systems, and Retrieval-Augmented Generation platforms, while emphasizing Responsible AI, governance, and safety for enterprise deployments. I enjoy turning complex data and knowledge repositories into practical, scalable AI-powered solutions that align with business objectives and user needs. In collaboration with cross-functional teams, product managers, and stakeholders, I design end-to-end AI platforms, implement MLOps/LLMOps pipelines, and establish observability and governance frameworks to ensure reliable, secure, and impactful AI outcomes.…I am Nishitha Dhanekula, a Senior Generative AI Engineer with 10+ years of experience delivering enterprise-scale AI/ML solutions across Banking, Healthcare, Retail, and Cloud Technology domains. I specialize in building production-grade Generative AI applications, Agentic AI systems, and Retrieval-Augmented Generation platforms, while emphasizing Responsible AI, governance, and safety for enterprise deployments. I enjoy turning complex data and knowledge repositories into practical, scalable AI-powered solutions that align with business objectives and user needs. In collaboration with cross-functional teams, product managers, and stakeholders, I design end-to-end AI platforms, implement MLOps/LLMOps pipelines, and establish observability and governance frameworks to ensure reliable, secure, and impactful AI outcomes.

Available to hire

I am Nishitha Dhanekula, a Senior Generative AI Engineer with 10+ years of experience delivering enterprise-scale AI/ML solutions across Banking, Healthcare, Retail, and Cloud Technology domains. I specialize in building production-grade Generative AI applications, Agentic AI systems, and Retrieval-Augmented Generation platforms, while emphasizing Responsible AI, governance, and safety for enterprise deployments. I enjoy turning complex data and knowledge repositories into practical, scalable AI-powered solutions that align with business objectives and user needs.
In collaboration with cross-functional teams, product managers, and stakeholders, I design end-to-end AI platforms, implement MLOps/LLMOps pipelines, and establish observability and governance frameworks to ensure reliable, secure, and impactful AI outcomes.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Work Experience

Senior Generative AI Engineer at Amazon

May 1, 2025 - Present

Delivered enterprise Generative AI and Agentic AI platforms supporting internal engineering productivity, enterprise knowledge discovery, developer self-service, and operational automation. Built enterprise AI assistants using Bedrock, Claude models, Retrieval-Augmented Generation (RAG), and Bedrock Knowledge Bases to provide conversational access to technical documentation, runbooks, and internal knowledge repositories. Engineered multi-agent workflows with LangGraph and MCP-based integrations enabling secure interactions with Jira, ServiceNow, Salesforce, Confluence, and internal APIs. Designed scalable knowledge retrieval pipelines using OpenSearch, vector/hybrid search, and LLM-based reranking to improve groundedness and relevance. Implemented high-throughput agent orchestration services on Amazon EKS for scalable inference and production deployment. Established enterprise LLMOps and AI Governance frameworks for prompt lifecycle management, evaluation, safety, and Responsible AI. D

Senior AI/ML Engineer at Humana Inc

May 1, 2024 - April 30, 2025

Delivered enterprise AI solutions supporting clinical operations, care management, and population health initiatives. Built an Enterprise Clinical Knowledge Assistant using Azure OpenAI, RAG, Azure AI Search, and LangChain to enable conversational access to clinical policies, care management guidelines, and regulatory documentation. Engineered scalable document ingestion/indexing pipelines with Azure Data Factory, Azure Databricks, and Azure Data Lake Storage Gen2; implemented hybrid retrieval pipelines combining Vector Search, Semantic Search, and metadata filtering for improved relevance and citation accuracy. Developed predictive risk stratification models using XGBoost, LightGBM, and Scikit-learn; created reusable features leveraging claims, pharmacy, clinical, and SDoH data. Established MLOps/LLMOps pipelines using Azure ML, MLflow, GitHub Actions, and AKS to automate model lifecycle, prompt governance, deployment, and monitoring. Built FastAPI-based inference services and enterpr

Senior Data Scientist at U.S. Bank

February 1, 2018 - April 30, 2024

Delivered enterprise-scale AI/ML solutions across Fraud Detection, Customer Intelligence, and Intelligent Document Processing. Engineered real-time fraud detection with Apache Kafka, Spark Streaming, and XGBoost for low-latency scoring and transaction monitoring. Built Customer Intelligence and Next Best Action (NBA) recommendations for personalized experiences across digital channels. Developed intelligent document processing pipelines using AWS Textract and NLP models for automated financial and compliance workflows. Implemented BERT-based NLP models for document classification, NER, and risk signal detection. Built and optimized models (Logistic Regression, Random Forest, XGBoost, LightGBM) for fraud, risk scoring, churn, and propensity modeling. Established enterprise MLOps with MLflow, Airflow, and Kubernetes; automated CI/CD with GitHub Actions and Terraform. Developed real-time inference APIs with FastAPI and AWS API Gateway; integrated SHAP/LIME-based XAI for transparency. Impl

Data Scientist at WellCare Health Plans, Inc

April 1, 2016 - January 31, 2018

Engineered customer segmentation and predictive analytics to optimize care management and marketing. Built unsupervised segmentation using K-Means, PCA, and feature engineering on behavioral, transactional, demographic, and engagement data. Automated ETL workflows consolidating CRM, transaction, support, and engagement data for analytics and reporting. Developed dashboards in Tableau for self-service analysis and decision making. Implemented HIPAA-compliant security controls and collaborated with care management teams to align AI initiatives with clinical objectives. Delivered AI-powered knowledge retrieval and risk scoring to improve care prioritization and operational efficiency.

Data Analyst at DRDO

February 1, 2015 - July 31, 2015

Collected, cleaned, and validated structured experimental and sensor data to support research studies. Performed Exploratory Data Analysis (EDA) and statistical analysis to identify trends and data quality issues. Created visualizations and analytical reports to communicate findings to researchers and engineers. Collaborated with teams to verify data accuracy and support repeatable analysis workflows.