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I'm a senior AI/ML engineer with 9+ years of delivering end-to-end data science and Generative AI solutions across healthcare and financial services. I design scalable ML pipelines, from data ingestion to model deployment and monitoring, turning complex business requirements into practical AI copilots and automations. I work across LLM orchestration, retrieval-augmented generation, and knowledge graphs to empower enterprise teams with faster decision-making. I thrive in collaborative, Agile environments and prioritize safety, explainability, and regulatory compliance in production systems.…I'm a senior AI/ML engineer with 9+ years of delivering end-to-end data science and Generative AI solutions across healthcare and financial services. I design scalable ML pipelines, from data ingestion to model deployment and monitoring, turning complex business requirements into practical AI copilots and automations. I work across LLM orchestration, retrieval-augmented generation, and knowledge graphs to empower enterprise teams with faster decision-making. I thrive in collaborative, Agile environments and prioritize safety, explainability, and regulatory compliance in production systems.

Nikhitha Reddy

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

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I'm a senior AI/ML engineer with 9+ years of delivering end-to-end data science and Generative AI solutions across healthcare and financial services. I design scalable ML pipelines, from data ingestion to model deployment and monitoring, turning complex business requirements into practical AI copilots and automations. I work across LLM orchestration, retrieval-augmented generation, and knowledge graphs to empower enterprise teams with faster decision-making. I thrive in collaborative, Agile environments and prioritize safety, explainability, and regulatory compliance in production systems.…I'm a senior AI/ML engineer with 9+ years of delivering end-to-end data science and Generative AI solutions across healthcare and financial services. I design scalable ML pipelines, from data ingestion to model deployment and monitoring, turning complex business requirements into practical AI copilots and automations. I work across LLM orchestration, retrieval-augmented generation, and knowledge graphs to empower enterprise teams with faster decision-making. I thrive in collaborative, Agile environments and prioritize safety, explainability, and regulatory compliance in production systems.

Available to hire

I’m a senior AI/ML engineer with 9+ years of delivering end-to-end data science and Generative AI solutions across healthcare and financial services. I design scalable ML pipelines, from data ingestion to model deployment and monitoring, turning complex business requirements into practical AI copilots and automations.

I work across LLM orchestration, retrieval-augmented generation, and knowledge graphs to empower enterprise teams with faster decision-making. I thrive in collaborative, Agile environments and prioritize safety, explainability, and regulatory compliance in production systems.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Work Experience

Generative AI Engineer at Elevance Health

May 1, 2024 - Present

Led a HIPAA-compliant Generative AI solution for clinical documentation and claims summarization using GPT-4o, LLaMA 3, and Mistral. Built a multi-agent LLM orchestration framework (CrewAI, LangChain) with specialized agents for retrieval, policy validation, and clinical reasoning, automating end-to-end prior authorization. Implemented hybrid RAG pipelines with LlamaIndex, ChromaDB, and Neo4j for knowledge retrieval. Fine-tuned models with PEFT (QLoRA) on de-identified clinical data. Implemented three-layer AI safety: PHI masking, content moderation, and audit logging. Deployed serverless LLM inference via AWS Lambda/ECS, with FastAPI endpoints and streaming. Set up continuous evaluation and real-time monitoring, ensuring compliance and quality. Enabled multimodal processing and regulatory validation workflows.

AI/ML Engineer at Wells Fargo

June 1, 2022 - April 1, 2024

Developed end-to-end NLP pipelines for intent classification and NER using BERT/Transformer architectures; built document summarization and sentiment analysis pipelines for customer communications and internal reports. Engineered real-time data processing and feature engineering with PySpark and Azure Databricks for credit risk scoring and churn prediction. Deployed models on Azure (Databricks, Event Hubs, Functions, Azure ML) and AKS; implemented drift detection and monitoring; built REST APIs; applied SHAP/LIME for explainability; established MLflow-based CI/CD and reproducibility.

ML Engineer at State of Virginia

April 1, 2020 - May 1, 2022

Designed end-to-end ML solutions for forecasting and operational analytics across state programs. Built scalable PySpark SQL pipelines, engineered time-series features, and trained models (Random Forest, XGBoost, Gradient Boosting, Logistic Regression). Deployed inference services, built dashboards in Tableau/Power BI, and implemented drift detection with automated alerts. Collaborated with cross-functional teams to translate requirements into scalable ML solutions.

Data Scientist at American Airlines

November 1, 2018 - March 1, 2020

Performed large-scale data extraction/cleaning, and built regression and classification models to optimize route profitability, load factors, and revenue management. Conducted statistical forecasting and A/B testing for pricing and loyalty programs. Automated batch ETL with Airflow and AWS; developed anomaly detection with XGBoost; built executive dashboards; delivered real-time scoring endpoints and integrated data across systems.

Data Analyst at Hexaware

July 1, 2016 - October 1, 2018

Partnered with stakeholders to develop predictive models for churn and sentiment; integrated data from SQL Server, Excel, and Hadoop; designed dashboards and automated ETL with Alteryx; built interactive reports for stakeholders; collaborated with data engineering and analytics teams to ensure data quality and scalable analytics processes.