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Hi, I’m Bhargav Mannepalli, an AI/ML and GenAI engineer with over 11 years of experience developing intelligent systems across healthcare, finance, and enterprise domains. I specialize in building solutions with Machine Learning, Deep Learning, and Generative AI technologies, including custom large language model applications and advanced NLP implementations. Throughout my career, I have designed scalable ML pipelines, implemented data engineering solutions, and enabled AI adoption through strategic enablement and proof-of-concept deliveries. I enjoy tackling complex challenges by integrating data, AI models, and cloud platforms to drive impactful outcomes. My expertise spans multiple sectors, leveraging cloud services and cutting-edge AI tools to solve real-world problems in areas like claims management, risk analytics, and customer intelligence. I thrive working collaboratively with cross-functional teams, turning business needs into innovative AI solutions with quantifiable results.…Hi, I’m Bhargav Mannepalli, an AI/ML and GenAI engineer with over 11 years of experience developing intelligent systems across healthcare, finance, and enterprise domains. I specialize in building solutions with Machine Learning, Deep Learning, and Generative AI technologies, including custom large language model applications and advanced NLP implementations. Throughout my career, I have designed scalable ML pipelines, implemented data engineering solutions, and enabled AI adoption through strategic enablement and proof-of-concept deliveries. I enjoy tackling complex challenges by integrating data, AI models, and cloud platforms to drive impactful outcomes. My expertise spans multiple sectors, leveraging cloud services and cutting-edge AI tools to solve real-world problems in areas like claims management, risk analytics, and customer intelligence. I thrive working collaboratively with cross-functional teams, turning business needs into innovative AI solutions with quantifiable results.

Bhargav Mannepalli

AI Engineer, Data Scientist, AI Prompt Engineer, +1

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Hi, I’m Bhargav Mannepalli, an AI/ML and GenAI engineer with over 11 years of experience developing intelligent systems across healthcare, finance, and enterprise domains. I specialize in building solutions with Machine Learning, Deep Learning, and Generative AI technologies, including custom large language model applications and advanced NLP implementations. Throughout my career, I have designed scalable ML pipelines, implemented data engineering solutions, and enabled AI adoption through strategic enablement and proof-of-concept deliveries. I enjoy tackling complex challenges by integrating data, AI models, and cloud platforms to drive impactful outcomes. My expertise spans multiple sectors, leveraging cloud services and cutting-edge AI tools to solve real-world problems in areas like claims management, risk analytics, and customer intelligence. I thrive working collaboratively with cross-functional teams, turning business needs into innovative AI solutions with quantifiable results.…Hi, I’m Bhargav Mannepalli, an AI/ML and GenAI engineer with over 11 years of experience developing intelligent systems across healthcare, finance, and enterprise domains. I specialize in building solutions with Machine Learning, Deep Learning, and Generative AI technologies, including custom large language model applications and advanced NLP implementations. Throughout my career, I have designed scalable ML pipelines, implemented data engineering solutions, and enabled AI adoption through strategic enablement and proof-of-concept deliveries. I enjoy tackling complex challenges by integrating data, AI models, and cloud platforms to drive impactful outcomes. My expertise spans multiple sectors, leveraging cloud services and cutting-edge AI tools to solve real-world problems in areas like claims management, risk analytics, and customer intelligence. I thrive working collaboratively with cross-functional teams, turning business needs into innovative AI solutions with quantifiable results.

Available to hire

Hi, I’m Bhargav Mannepalli, an AI/ML and GenAI engineer with over 11 years of experience developing intelligent systems across healthcare, finance, and enterprise domains. I specialize in building solutions with Machine Learning, Deep Learning, and Generative AI technologies, including custom large language model applications and advanced NLP implementations. Throughout my career, I have designed scalable ML pipelines, implemented data engineering solutions, and enabled AI adoption through strategic enablement and proof-of-concept deliveries.

I enjoy tackling complex challenges by integrating data, AI models, and cloud platforms to drive impactful outcomes. My expertise spans multiple sectors, leveraging cloud services and cutting-edge AI tools to solve real-world problems in areas like claims management, risk analytics, and customer intelligence. I thrive working collaboratively with cross-functional teams, turning business needs into innovative AI solutions with quantifiable results.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Language

English

Fluent

Work Experience

AI Engineer at Nasco Insurance Company

January 1, 2023 - Present

Developed and deployed AI/ML models on Azure Machine Learning Studio to predict patient readmission risk, optimize claims approval, and identify high-risk members in chronic care management programs. Built and fine-tuned NLP models using Azure OpenAI Service and Azure Cognitive Services for extracting sensitive medical data. Designed scalable deep learning solutions leveraging GPU clusters in Azure Databricks. Engineered end-to-end ETL and ML pipelines automating data ingestion from various healthcare sources. Orchestrated real-time workflows using Azure Logic Apps and Functions integrated into CRM tools. Containerized models with Docker and deployed via AKS with API management for endpoint exposure. Created Power BI dashboards for clinical analysts with dynamic model predictions. Ensured data security and compliance with HIPAA using Azure security features. Established CI/CD for ML lifecycle with Azure DevOps. Collaborated with clinical teams to translate operational challenges into s

Data Scientist & Data Engineer at Fannie Mae

December 31, 2022 - August 1, 2025

Developed predictive models for credit risk and loan default probabilities using Azure ML, including logistic regression, XGBoost, and random forest classifiers. Led EDA and feature engineering on mortgage performance datasets to improve model accuracy. Built risk segmentation models with clustering and conducted survival analysis for default predictions. Applied NLP on borrower communications using BERT embeddings for early risk detection. Created explainable AI models with SHAP interpretability dashboards for regulatory compliance. Automated model lifecycle management using Azure ML pipelines and MLflow integration. Built Power BI dashboards visualizing credit model outputs supporting loan pricing strategies. Conducted scenario modeling and A/B testing for credit policy impact assessment. Collaborated with compliance teams on model governance adhering to MRM and SR 11-7 standards.

Data Scientist & Data Engineer at Wells Fargo

June 30, 2021 - August 1, 2025

Developed scalable data pipelines and advanced analytics on financial data supporting predictive modeling and recommendation systems for lending and fraud detection. Improved data acquisition workflows capturing customer behavior signals to enhance loan performance and risk segmentation. Built machine learning models for credit scoring, fraud detection, and cross-sell recommendations deployed via Azure ML. Applied statistical and multivariate analysis to uncover key factors affecting loan defaults. Created SQL stored procedures and views supporting analytics and BI requirements. Developed Tableau dashboards for monitoring account and product trends. Performed data normalization to optimize fraud detection models and conducted hypothesis testing on marketing and underwriting policies. Supported credit risk and governance teams ensuring model documentation and compliance with SR 11-7.

Data Analyst at Verizon, Texas

October 31, 2020 - August 1, 2025

Converted high-level design specifications to detailed technical and functional requirements for Tableau dashboards. Developed report automation processes improving reporting turnaround time. Provided healthcare data expertise supporting product design initiatives. Created and maintained SAS code for analytic studies and data hygiene programs. Analyzed complex healthcare data from multiple sources including claims, pharmacy, and radiology to support large group proposals. Edited data connections and managed metadata within Tableau. Designed worksheets using joins, custom SQL, and source filters. Built diverse chart types based on client needs for effective visualization.

Data Analyst at Capital One, New York

August 31, 2018 - August 1, 2025

Created and optimized T-SQL stored procedures, views, triggers, and UDFs supporting analysis across financial products. Developed data models and ETL workflows using SSIS enforcing data quality. Automated transformations for reporting readiness and tuned queries for performance. Supported early stages of predictive modeling by preparing datasets for risk and compliance analysis. Produced financial and operational reports leveraging SSRS with drill-through and formatting features. Conducted complex data profiling and join operations for ad hoc reporting.

Data Analyst at AIG, New York

May 31, 2016 - August 1, 2025

Designed logical and physical data models to support claims and policy analysis. Created stored procedures, views, and indexes for reporting efficiency. Ingested multi-source data into SQL Server using DTS and SSIS. Developed and tuned complex queries for analytics and dashboard requirements. Delivered OLAP cubes and cross-tab reports for finance and underwriting teams. Supported exploratory data analysis for churn prediction and fraud detection. Conducted data validation, quality checks, and provided 24/7 support for nightly data loads and report refresh cycles.