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AI/ML Engineer with 8 years of experience across Healthcare, Banking/Financial Services, and Auto/Commercial Insurance, progressing from Python application development into machine learning and Generative AI. Hands-on with Python, SQL, Pandas, NumPy, Scikit-learn, XGBoost, NLP, and production ML workflows. Built end-to-end ML and LLM/RAG pipelines including document processing, semantic/vector search, and FastAPI services. Experienced with Azure (Azure OpenAI, Azure ML, Azure Blob) and AWS (SageMaker, S3, CloudWatch), along with MLOps using MLflow, Docker, Git, CI/CD, monitoring, and data quality/security practices in regulated environments.…AI/ML Engineer with 8 years of experience across Healthcare, Banking/Financial Services, and Auto/Commercial Insurance, progressing from Python application development into machine learning and Generative AI. Hands-on with Python, SQL, Pandas, NumPy, Scikit-learn, XGBoost, NLP, and production ML workflows. Built end-to-end ML and LLM/RAG pipelines including document processing, semantic/vector search, and FastAPI services. Experienced with Azure (Azure OpenAI, Azure ML, Azure Blob) and AWS (SageMaker, S3, CloudWatch), along with MLOps using MLflow, Docker, Git, CI/CD, monitoring, and data quality/security practices in regulated environments.

Pallavi Gaddam

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

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AI/ML Engineer with 8 years of experience across Healthcare, Banking/Financial Services, and Auto/Commercial Insurance, progressing from Python application development into machine learning and Generative AI. Hands-on with Python, SQL, Pandas, NumPy, Scikit-learn, XGBoost, NLP, and production ML workflows. Built end-to-end ML and LLM/RAG pipelines including document processing, semantic/vector search, and FastAPI services. Experienced with Azure (Azure OpenAI, Azure ML, Azure Blob) and AWS (SageMaker, S3, CloudWatch), along with MLOps using MLflow, Docker, Git, CI/CD, monitoring, and data quality/security practices in regulated environments.…AI/ML Engineer with 8 years of experience across Healthcare, Banking/Financial Services, and Auto/Commercial Insurance, progressing from Python application development into machine learning and Generative AI. Hands-on with Python, SQL, Pandas, NumPy, Scikit-learn, XGBoost, NLP, and production ML workflows. Built end-to-end ML and LLM/RAG pipelines including document processing, semantic/vector search, and FastAPI services. Experienced with Azure (Azure OpenAI, Azure ML, Azure Blob) and AWS (SageMaker, S3, CloudWatch), along with MLOps using MLflow, Docker, Git, CI/CD, monitoring, and data quality/security practices in regulated environments.

Available to hire

AI/ML Engineer with 8 years of experience across Healthcare, Banking/Financial Services, and Auto/Commercial Insurance, progressing from Python application development into machine learning and Generative AI. Hands-on with Python, SQL, Pandas, NumPy, Scikit-learn, XGBoost, NLP, and production ML workflows.

Built end-to-end ML and LLM/RAG pipelines including document processing, semantic/vector search, and FastAPI services. Experienced with Azure (Azure OpenAI, Azure ML, Azure Blob) and AWS (SageMaker, S3, CloudWatch), along with MLOps using MLflow, Docker, Git, CI/CD, monitoring, and data quality/security practices in regulated environments.

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Work Experience

AI/ML Engineer at Mayo Clinic

November 1, 2025 - Present

Developed end-to-end AI/ML and NLP pipelines using Python, Pandas, Scikit-learn, and SQL to preprocess healthcare data for classification, predictive analytics, and document-processing use cases. Built Generative AI and RAG applications with LLMs, LangChain, embeddings, and vector databases for semantic search, summarization, and grounded question answering; used Azure OpenAI for selected healthcare knowledge workflows. Implemented NLP workflows for document classification, information extraction, summarization, and entity recognition across structured and unstructured healthcare content. Developed FastAPI-based AI/ML services, containerized with Docker, and tracked model/data workflows using MLflow; supported Azure Machine Learning and Azure Blob Storage for selected workflows. Implemented data-quality checks, evaluation and monitoring for model/RAG outputs, and secure data-handling practices in a HIPAA-aware healthcare environment.

Python ML Engineer at Bank of America

February 1, 2023 - October 1, 2025

Developed machine learning models using Python, Scikit-learn, Random Forest, and XGBoost for transaction analytics, fraud/risk identification, and customer behavior analysis. Performed EDA, feature engineering, preprocessing, class-imbalance handling, and hyperparameter tuning using Pandas, NumPy, and SQL. Evaluated models with precision/recall/F1, ROC-AUC, confusion matrices, and threshold analysis to manage false positives. Built Python/SQL pipelines for transaction ingestion, transformation, validation, and feature preparation using Amazon S3 and AWS SageMaker for selected training/deployment workflows, and integrated predictions via REST APIs. Supported model versioning, deployment, and monitoring using MLflow, Docker, Git, CI/CD, and AWS CloudWatch while collaborating with risk, engineering, development, and QA teams.

Python Developer at Value Momentum | GEICO | Auto & Commercial Insurance

June 1, 2019 - August 1, 2022

Developed backend and data-processing solutions using Python and SQL for auto and commercial insurance workflows including policy, customer, coverage, rating, underwriting, renewals, and claims. Built Python automation scripts and SQL workflows for extraction, transformation, validation, reconciliation, and processing of policy, vehicle, customer, and claims data. Developed and integrated REST APIs with Python services and supported integration with Java enterprise components for exchanging insurance information between systems and databases. Worked with TypeScript components for API integration and policy servicing workflows, supporting debugging, testing, and production issues across layers. Prepared datasets using Pandas/NumPy and gained exposure to Scikit-learn predictive analytics, while working in Git/Jenkins CI/CD with Agile/Scrum delivery.

Python Developer at MetLife

June 1, 2018 - May 1, 2019

Developed Python and SQL-based application and data-processing components to support insurance workflows, operational reporting, and integration across enterprise systems. Built Python automation and ETL pipelines for extracting, transforming, validating, and reconciling policy, customer, claims, and transactional data from multiple sources. Developed and consumed REST APIs using Python/Flask and supported integration with Java backend services and relational databases. Supported TypeScript components for API integration and client-side validation; performed debugging, unit testing, integration testing, and production support. Collaborated with business analysts, developers, QA teams, and stakeholders in Agile/Scrum using Git/Jenkins CI/CD and Jira.