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Hi, I’m Madhuri Rao, an AI/ML engineer and data scientist with 10+ years of experience building scalable machine learning systems across finance, healthcare, and retail. I specialize in MLOps, cloud-native deployment (AWS, Azure), and Generative AI applications for enterprise use. I thrive on turning research into production-ready tools and aligning technical solutions with business outcomes while collaborating across product, compliance, and engineering teams. Over my career I’ve delivered measurable business value, including $8M+ revenue uplift, 30% fraud reduction, and a 40% decrease in model deployment time. I’m passionate about responsible AI, governance, and enabling cross-functional impact through practical, scalable solutions.…Hi, I’m Madhuri Rao, an AI/ML engineer and data scientist with 10+ years of experience building scalable machine learning systems across finance, healthcare, and retail. I specialize in MLOps, cloud-native deployment (AWS, Azure), and Generative AI applications for enterprise use. I thrive on turning research into production-ready tools and aligning technical solutions with business outcomes while collaborating across product, compliance, and engineering teams. Over my career I’ve delivered measurable business value, including $8M+ revenue uplift, 30% fraud reduction, and a 40% decrease in model deployment time. I’m passionate about responsible AI, governance, and enabling cross-functional impact through practical, scalable solutions.

Madhuri Rao

Data Scientist, AI Engineer, AI Developer, +3

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Hi, I’m Madhuri Rao, an AI/ML engineer and data scientist with 10+ years of experience building scalable machine learning systems across finance, healthcare, and retail. I specialize in MLOps, cloud-native deployment (AWS, Azure), and Generative AI applications for enterprise use. I thrive on turning research into production-ready tools and aligning technical solutions with business outcomes while collaborating across product, compliance, and engineering teams. Over my career I’ve delivered measurable business value, including $8M+ revenue uplift, 30% fraud reduction, and a 40% decrease in model deployment time. I’m passionate about responsible AI, governance, and enabling cross-functional impact through practical, scalable solutions.…Hi, I’m Madhuri Rao, an AI/ML engineer and data scientist with 10+ years of experience building scalable machine learning systems across finance, healthcare, and retail. I specialize in MLOps, cloud-native deployment (AWS, Azure), and Generative AI applications for enterprise use. I thrive on turning research into production-ready tools and aligning technical solutions with business outcomes while collaborating across product, compliance, and engineering teams. Over my career I’ve delivered measurable business value, including $8M+ revenue uplift, 30% fraud reduction, and a 40% decrease in model deployment time. I’m passionate about responsible AI, governance, and enabling cross-functional impact through practical, scalable solutions.

Available to hire

Hi, I’m Madhuri Rao, an AI/ML engineer and data scientist with 10+ years of experience building scalable machine learning systems across finance, healthcare, and retail. I specialize in MLOps, cloud-native deployment (AWS, Azure), and Generative AI applications for enterprise use. I thrive on turning research into production-ready tools and aligning technical solutions with business outcomes while collaborating across product, compliance, and engineering teams.

Over my career I’ve delivered measurable business value, including $8M+ revenue uplift, 30% fraud reduction, and a 40% decrease in model deployment time. I’m passionate about responsible AI, governance, and enabling cross-functional impact through practical, scalable solutions.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Language

English

Fluent

Work Experience

Machine Learning Engineer at Synchrony

June 1, 2024 - Present

Real-time ML models for credit risk scoring and fraud detection across millions of card transactions; SHAP-enabled models compliant with FCRA and ECOA; CI/CD MLOps pipelines with AWS SageMaker, Lambda, and CodePipeline; model monitoring with CloudWatch and custom drift detection; integrated ML scoring endpoints with loan decision APIs; cross-functional collaboration with compliance, product, and engineering teams; retraining pipelines to streamline releases.

Machine Learning Engineer at Amgen

June 30, 2024 - October 22, 2025

Developed deep learning models for optimizing treatment plans; created internal GPT-based assistant summarizing HER data; HIPAA-compliant ETL pipelines using AWS Glue and Lambda; deployed models via SageMaker and FastAPI; AI training sessions for medical and product teams; collaborated across 10+ teams to enhance internal ML tools and governance.

Senior Data Scientist at Kroger

December 31, 2021 - October 22, 2025

Led demand forecasting models increasing inventory accuracy and reducing spoilage; dynamic pricing across 2,000+ locations contributing to $8M+ quarterly revenue uplift via price elasticity modeling; Spark-based auto-retraining pipelines using Azure ML and Databricks; Power BI dashboards for real-time inventory monitoring; standardized feature engineering pipelines; mentorship and cross-functional collaboration with product/merchandising; validated models via A/B testing.

Data Scientist at MetLife

August 31, 2018 - October 22, 2025

Built ML models to predict policy lapses, improve underwriting, and reduce fraud-related losses; used XGBoost and custom features to improve underwriting accuracy; unsupervised anomaly detection using DBSCAN and graph-based analysis to flag coordinated fraud activity; implemented Airflow DAGs to automate risk scoring; visualized outputs for actuaries and claims teams; collaborated with actuarial stakeholders to align variables with business risk logic.

Data Engineer at Windstream Communications

May 31, 2015 - October 22, 2025

Built scalable ETL pipelines for enterprise BI; migrated legacy pipelines to Hadoop (HDFS, Hive); developed Tableau dashboards to track churn, usage, and outages; logistic regression and clustering to segment customers; designed data marts for predictive modeling; automated data validation checks to ensure cross-regional data consistency; contributed to early data platform modernization enabling future ML deployment.

Data Analyst at MicroLogix Systems

January 31, 2013 - October 22, 2025

Created automated Excel dashboards and reporting tools for payroll, HR, and inventory; built Access databases with front-end forms; integrated Excel dashboards with SQL Server via ODBC for real-time reporting; reduced reporting time from days to minutes; co-led development of a SaaS-style reporting product for small clinics, enabling self-service insights.

Machine Learning Engineer at Synchrony

June 1, 2024 - November 6, 2025

Designed and deployed real-time ML models for credit risk scoring and fraud detection across millions of card transactions. Developed SHAP-enabled credit risk models in compliance with FCRA and ECOA, enhancing explainability and reducing audit review time by 30%. Built CI/CD-enabled MLOps pipelines with AWS SageMaker, Lambda, and CodePipeline, decreasing model deployment cycles by 60% and minimizing human error. Developed model monitoring with CloudWatch and drift detection scripts, ensuring ongoing accuracy. Integrated ML scoring endpoints with loan decision APIs, accelerating credit decisions by 25% and increasing throughput under peak traffic. Worked cross-functionally with compliance, product, and engineering teams on fraud mitigation pipelines. Implemented CI/CD pipelines to streamline model retraining, reducing manual effort by 60% and improving release velocity.

Machine Learning Engineer at Amgen

June 1, 2024 - June 1, 2024

Developed deep learning models for optimizing treatment plans, improving patient outcomes in cardiology and oncology. Created an internal GPT-based assistant that summarized HER data for clinical trial reviewers, reducing document review time by 60% and enhancing decision speed without compromising compliance. Engineered HIPAA-compliant ETL pipelines using AWS Glue and Lambda, ensuring data privacy while scaling ingestion for 500K+ patient records. Deployed models using SageMaker and exposed results via FastAPI for clinical dashboards. Led AI training sessions for medical and product teams on responsible AI usage in clinical workflows. Collaborated with engineering to enhance internal ML tools, improving data accessibility and workflow automation across 10+ teams. Led AI documentation for compliance audits and contributed to internal AI governance policy for model deployment within regulated clinical systems.

Senior Data Scientist at Kroger

December 1, 2021 - December 1, 2021

Led the design of demand forecasting models, increasing inventory accuracy by 18% and reducing spoilage. Built and deployed dynamic pricing algorithms across 2,000+ retail locations, directly contributing to an $8M+ quarterly revenue increase through price elasticity modeling. Designed Spark-based auto-retraining pipelines using Azure ML and Databricks, enabling continuous learning from new sales and logistics data. Created Power BI dashboards for regional managers to monitor and adjust inventory in real time. Led the standardization of feature engineering pipelines, reducing time-to-deploy by 40% and enabling consistent model performance. Mentored junior team members in modeling, cloud tools, and business communication. Collaborated with product and merchandising teams to validate model impact via A/B testing.

Data Scientist at MetLife

August 1, 2018 - August 1, 2018

Built ML models to predict policy lapse, improve underwriting, and reduce fraud-related losses. Used XGBoost and custom features to increase underwriting accuracy by 25%. Developed unsupervised anomaly detection models using DBSCAN and graph-based analysis to identify coordinated fraud activity, flagging over $4.2M in suspicious claims. Implemented Airflow DAGs to automate policyholder risk scoring, reducing ETL latency by 40% and increasing model update frequency. Visualized model outputs with Tableau dashboards for actuaries and claims teams. Collaborated with actuarial stakeholders to align predictive variables with business risk logic and guided product development for high-risk customer segments.

Data Engineer at Windstream Communications

May 1, 2015 - May 1, 2015

Built scalable ETL pipelines to support enterprise BI and analytics systems. Migrated legacy BI pipelines to Hadoop (HDFS, Hive), improving batch processing speed by 70% and supporting larger data volumes. Developed custom dashboards in Tableau to track customer churn, usage patterns, and service outages. Built logistic regression and clustering models to segment telecom customers, driving a 22% uplift in upsell campaigns and reducing churn in underperforming segments. Designed data marts for predictive modeling and reporting use cases. Ensured data consistency across regional systems by developing automated data validation checks. Contributed to the early data platform modernization effort that enabled future ML deployment.

Data Analyst at MicroLogix Systems

January 1, 2013 - January 1, 2013

Created automated Excel dashboards and reporting tools for payroll, HR, and inventory. Built Access databases with front-end forms for non-technical users to manage business operations. Integrated Excel dashboards with SQL Server via ODBC, providing automated, real-time reporting for healthcare and logistics clients with no internal IT staff. Reduced reporting time from days to minutes for small healthcare and logistics clients. Translated client needs into technical requirements and delivered custom tools. Provided basic data literacy training to clients transitioning from paper-based systems. Co-led development of a SaaS-style reporting product for small clinics, enabling self-service insights on patient records, inventory, and compliance tracking.