Senior MLOps / ML Platform Engineer at Public Consulting Group (PCG)

Led development and deployment of enterprise AI/ML solutions, including generative AI platforms and Retrieval-Augmented Generation (RAG) pipelines, with scalable LLM inference on cloud infrastructure. Built end-to-end data pipelines, feature engineering, model training, and monitoring for healthcare analytics, policy analysis, and program management. Implemented Responsible AI, including PII redaction, prompt defenses, and auditable logging to meet healthcare privacy and regulatory requirements. Optimized GPU/CPU utilization, batching, KV-cache, and quantization to reduce latency; designed multi-node, multi-cluster AI architectures and governance frameworks. Established MLOps pipelines for automated training, deployment, versioning, and model monitoring, and integrated copilots with enterprise collaboration tools to boost analyst productivity.

Senior MLOps at Walmart

Analyzed large-scale retail datasets to uncover patterns in demand, customer behavior, and pricing; developed predictive models using XGBoost, Random Forest, SVM, Prophet, and LSTM. Built NLP analytics for customer feedback and product reviews; prototyped semantic search and early retrieval systems. Engineered Spark/Delta feature pipelines and optimized Snowflake data models; automated pipelines with Airflow, enabling cost-effective, scalable analytics. Implemented real-time inference for store operations and dynamic pricing experiments, and delivered NLP-driven product search and recommendations to improve assortment and conversion. Reduced compute costs by leveraging cloud resources and scalable ML workflows.

Data Scientist at CommonSpirit Health

Led end-to-end ML initiatives to predict patient readmissions, length of stay, and clinical risk; built NLP models to extract insights from unstructured notes. Created dashboards and visualizations in Tableau/Power BI to communicate trends to clinical and operations leadership. Ensured HIPAA-compliant data handling, governance, and model monitoring across production systems; collaborated with clinicians to translate analytics into actionable care improvements. Implemented model validation, bias monitoring, and automated retraining to maintain accuracy and reliability.

Data Scientist at State of UT

Directed state-wide data science projects to inform policy decisions and public service optimization. Built predictive models for program demand, budget utilization, and resource allocation; conducted extensive EDA and hypothesis testing to validate policy impact. Developed scalable data pipelines and dashboards using Python, SQL, Tableau/Power BI; established data governance and audit trails to ensure transparency and compliance.