Available to hire
Hi, I’m Dylan Tankersley, a Senior AI Engineer with 8 years of experience specializing in healthcare and data analytics. I enjoy leading AI and machine learning projects that make a real impact, especially in healthcare revenue-cycle and lab informatics. My expertise spans building scalable ML pipelines, working with modern cloud services, and crafting robust LLM applications.
I take pride in mentoring my peers, collaborating closely with stakeholders, and ensuring AI solutions comply with healthcare regulations. When I’m not coding or architecting ML solutions, I love working on AI-driven customer support chatbots and exploring ways to bring AI safely and effectively into clinical workflows.
Skills
Experience Level
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Language
English
Fluent
Work Experience
Senior AI Engineer at XiFin
June 30, 2025 - July 18, 2025Led end-to-end AI/ML projects in healthcare revenue-cycle and lab informatics, managing the entire pipeline from data ingestion and feature engineering to deployment and monitoring using Python, SQL, and cloud services like AWS/Azure. Architected and optimized LLM pipelines for GenAI workflows, applying prompt engineering, vector databases such as FAISS/Pinecone, and model orchestration with LangChain. Developed production-grade APIs with .NET Core for model inference and integrated React dashboards for ML insights while ensuring secure secret management via Azure Key Vault. Designed scalable, containerized ML solutions using Docker, Kubernetes, Helm charts, and CI/CD pipelines to enable reliable deployments and rapid iteration. Ensured model reliability through automated monitoring, A/B testing, drift detection, and retraining workflows, maintaining real-time performance analytics and compliance. Applied HIPAA-compliant LLM pipelines aligned with FHIR, HL7, and interoperability standa
Machine Learning Engineer II at XiFin
February 28, 2023 - July 18, 2025Designed, trained, and deployed machine learning models both traditional and LLM-based for healthcare and revenue cycle optimization. Built scalable and production-grade ML and GenAI pipelines following MLOps best practices including Docker, Kubernetes, CI/CD, and monitoring, integrated with .NET Core services. Performed feature engineering, data preparation, exploratory data analysis, and prompt engineering on structured and unstructured data. Collaborated with software, data, and domain teams to translate business requirements into AI-driven solutions, ensuring model validation, bias checks, and safety compliance. Contributed to vector database integration (FAISS/Pinecone) and LLM orchestration via LangChain aligned with domain workflows like revenue cycle management. Developed React frontend ML feature interfaces such as dashboards and model previews and served model predictions through .NET Core APIs managing secure secret storage. Monitored model performance in production, retrain
AI Research Scientist at Innovaccer
October 31, 2020 - July 18, 2025Led R&D for AI/ML models powering Innovaccer’s Healthcare Intelligence Cloud to improve care delivery and financial outcomes for health systems and payers. Designed and implemented predictive models for patient risk stratification, population health trends, and cost forecasting using clinical, claims, and social determinant data. Collaborated with data engineers and product teams to deploy scalable ML pipelines supporting value-based care, operational efficiency, and payer-provider collaboration. Applied NLP techniques to extract insights from unstructured EHR data, improving data completeness and real-time decision support. Published internal white papers and contributed to peer-reviewed studies on clinical outcomes modeling, AI explainability, and health economics. Worked closely with clients to translate research into actionable analytics dashboards focused on readmission reduction, care gaps, and revenue optimization. Ensured regulatory and privacy compliance such as HIPAA and ad
Research Data Analyst at Palantir Technologies
October 31, 2018 - July 18, 2025Collaborated across healthcare and finance teams to transform complex data into actionable insights using Palantir Foundry. Analyzed large datasets including patient records, insurance claims, and financial transactions to inform client decisions. Built interactive dashboards and reports to identify trends, risks, and support policy and business strategy. Employed Python, SQL, and Foundry to clean, organize, and analyze data from multiple sources. Partnered with data scientists, engineers, and domain experts to design data workflows answering key business questions. Supported measurement of program impact using statistical analysis and data visualization focusing on data privacy and compliance with sensitive healthcare and financial info. Helped make data accessible and usable for non-technical users across organizations.
Senior AI Engineer at XiFin
June 30, 2025 - July 18, 2025Led end-to-end AI/ML projects in healthcare revenue-cycle and lab informatics, from data ingestion and feature engineering through deployment and monitoring using Python, SQL, and cloud services (AWS/Azure). Architected and optimized LLM pipelines for GenAI workflows using prompt engineering, vector databases, and model orchestration. Built production-grade APIs in .NET Core serving model inferences, integrated React dashboards, and used Azure Key Vault for secure secret management. Designed scalable containerized ML solutions with Docker/Kubernetes and CI/CD pipelines. Ensured model reliability through monitoring, A/B testing, drift detection, and retraining. Applied HIPAA-compliant LLM pipelines aligned with interoperability standards for document triage and data extraction. Mentored data engineers and junior ML peers and collaborated with various healthcare stakeholders to deliver AI solutions tailored to clinical and operational workflows.
Machine Learning Engineer II at XiFin
February 28, 2023 - July 18, 2025Designed, trained, and deployed machine learning models for healthcare and revenue cycle optimizations leveraging Python, scikit-learn, TensorFlow, and PyTorch. Built scalable production-grade ML and GenAI pipelines using MLOps best practices (Docker, Kubernetes, CI/CD, monitoring), integrated with .NET Core services. Conducted feature engineering and prompt engineering on structured and unstructured data. Collaborated across teams to translate business requirements into AI-driven solutions, ensuring model validation, bias checks, and compliance. Contributed to vector database integration and LLM orchestration, aligned with revenue cycle management workflows. Used React for frontend ML interfaces and .NET Core APIs for model serving. Monitored model performance, optimized serving latency, and supported safe GenAI deployments under healthcare regulations.
AI Research Scientist at Innovaccer
October 31, 2020 - July 18, 2025Led research and development of AI/ML models powering Innovaccer’s Healthcare Intelligence Cloud for health systems and payers. Designed predictive models for patient risk stratification, population health trends, and cost forecasting using clinical, claims, and social determinant data. Collaborated with teams to deploy scalable ML pipelines supporting value-based care and operational efficiency. Applied NLP techniques to extract insights from unstructured EHR data. Published research papers on clinical outcomes modeling and AI explainability. Worked closely with clients to translate research into actionable analytics dashboards targeting care improvement and revenue optimization. Ensured models met regulatory and privacy requirements and advocated for responsible AI practices.
Research Data Analyst at Palantir Technologies
October 31, 2018 - July 18, 2025Worked with healthcare and finance teams to analyze complex data using Palantir Foundry. Analyzed patient records, insurance claims, and financial transactions to support informed decision-making. Built interactive dashboards to highlight trends and risks. Used Python, SQL, and Foundry to clean and analyze data sources. Collaborated with data scientists and subject-matter experts to design data workflows answering business questions. Conducted statistical analysis and visualization to measure program impacts, focusing on data privacy and compliance. Facilitated data accessibility for non-technical users across organizations.
Education
Bachelor of Science at University of Texas at San Antonio
January 1, 2011 - December 31, 2017Bachelor of Science at University of Texas at San Antonio
January 1, 2011 - December 31, 2017Qualifications
Industry Experience
Healthcare, Financial Services, Software & Internet, Professional Services, Life Sciences
Skills
Experience Level
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
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