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I am a seasoned ML engineer and AI leader with over 11 years of experience building and deploying AI solutions at scale in healthcare and financial services. I specialize in cloud-native ML infrastructure, production-grade pipelines, and governance-ready models, driving innovation from data to decision-making. I thrives on turning complex data challenges into scalable AI products and mentoring teams to adopt robust ML governance practices. In my roles at CVS Health and USAA, I architected and deployed enterprise AI platforms, led interpretability and bias auditing efforts, and guided cross-functional teams to productionize ML microservices. I enjoy collaborating with engineering, compliance, and design to ship reliable, compliant AI solutions and to foster data-driven decision making across organizations.…I am a seasoned ML engineer and AI leader with over 11 years of experience building and deploying AI solutions at scale in healthcare and financial services. I specialize in cloud-native ML infrastructure, production-grade pipelines, and governance-ready models, driving innovation from data to decision-making. I thrives on turning complex data challenges into scalable AI products and mentoring teams to adopt robust ML governance practices. In my roles at CVS Health and USAA, I architected and deployed enterprise AI platforms, led interpretability and bias auditing efforts, and guided cross-functional teams to productionize ML microservices. I enjoy collaborating with engineering, compliance, and design to ship reliable, compliant AI solutions and to foster data-driven decision making across organizations.

Samuel Tumlinson

Data Scientist, AI Engineer, AI Developer, +1

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I am a seasoned ML engineer and AI leader with over 11 years of experience building and deploying AI solutions at scale in healthcare and financial services. I specialize in cloud-native ML infrastructure, production-grade pipelines, and governance-ready models, driving innovation from data to decision-making. I thrives on turning complex data challenges into scalable AI products and mentoring teams to adopt robust ML governance practices. In my roles at CVS Health and USAA, I architected and deployed enterprise AI platforms, led interpretability and bias auditing efforts, and guided cross-functional teams to productionize ML microservices. I enjoy collaborating with engineering, compliance, and design to ship reliable, compliant AI solutions and to foster data-driven decision making across organizations.…I am a seasoned ML engineer and AI leader with over 11 years of experience building and deploying AI solutions at scale in healthcare and financial services. I specialize in cloud-native ML infrastructure, production-grade pipelines, and governance-ready models, driving innovation from data to decision-making. I thrives on turning complex data challenges into scalable AI products and mentoring teams to adopt robust ML governance practices. In my roles at CVS Health and USAA, I architected and deployed enterprise AI platforms, led interpretability and bias auditing efforts, and guided cross-functional teams to productionize ML microservices. I enjoy collaborating with engineering, compliance, and design to ship reliable, compliant AI solutions and to foster data-driven decision making across organizations.

Available to hire

I am a seasoned ML engineer and AI leader with over 11 years of experience building and deploying AI solutions at scale in healthcare and financial services. I specialize in cloud-native ML infrastructure, production-grade pipelines, and governance-ready models, driving innovation from data to decision-making. I thrives on turning complex data challenges into scalable AI products and mentoring teams to adopt robust ML governance practices.

In my roles at CVS Health and USAA, I architected and deployed enterprise AI platforms, led interpretability and bias auditing efforts, and guided cross-functional teams to productionize ML microservices. I enjoy collaborating with engineering, compliance, and design to ship reliable, compliant AI solutions and to foster data-driven decision making across organizations.

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Work Experience

Lead Data Scientist / Machine Learning Engineer at CVS Health

May 1, 2022 - November 6, 2025

Developed enterprise ML pipelines for healthcare engagement tools using Python, TensorFlow, and AWS SageMaker, delivering 24/7 personalized patient recommendations. Automated model deployment and monitoring with MLflow and Airflow, enabling CI/CD and reducing deployment time by 60%. Led interpretability initiatives with SHAP and LIME, supporting regulatory-ready models. Collaborated with engineering, compliance, and design to productionize ML microservices with Docker/Kubernetes and FastAPI. Implemented data drift detection and adaptive learning to improve retraining cadence. Explored LLM-based solutions for early-stage health chatbot prototypes. Documented governance artifacts for internal reviews and compliance sign-off.

Lead Data Scientist / AI Engineer at USAA

April 30, 2022 - April 30, 2022

Architected and deployed an AI-powered virtual advisory platform launched in Q4 2021 and granted US Patent No. 11,234,567. Built intelligent agents using decision trees, NLP pipelines, and simulation-based reinforcement logic to mimic human advisory behavior. Created modular ML pipeline templates using Airflow and Docker for standardized experimentation and deployment across teams. Scaled multiple predictive models in fraud detection, claims processing, and customer retention—improving KPIs by 20–30%. Worked closely with model validation and risk teams to satisfy documentation and reproducibility standards. Implemented automated model explainability dashboards using Plotly Dash + SHAP. Provided strategic guidance on data strategy, feature store design, and MLOps frameworks across the analytics organization.

Senior Modeling Analyst at USAA

June 1, 2017 - June 1, 2017

Developed supervised models using logistic regression, decision trees, and random forests for customer lifecycle prediction and marketing optimization. Performed segmentation and uplift modeling for targeted offers, increasing campaign ROI by 22%. Collaborated with IT to transition legacy SAS codebases into Python pipelines for improved automation and maintainability. Led A/B testing strategy development, including sample size estimation, confidence interval reporting, and uplift analysis. Built Tableau dashboards for model performance tracking and business user insights.