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Design, build, test, and maintain front-end and server-side applications using JavaScript/TypeScript (React, Node.js). Ensure responsive, high-quality code, debug issues, work across cloud environments and databases, and produce technical documentation.

Designs and deploys scalable data pipelines, preprocessing workflows, feature-engineering services, and machine learning models for secure Department of Defense environments. Develops reproducible, tested, containerized data and ML services using Python, Spark, Databricks, Docker, Terraform, SageMaker, and MLflow. Performs exploratory analysis, visualization, data storytelling, model evaluation, and decision-support development while collaborating with product, software, platform, DevSecOps, data science, and mission teams.

Provides architectural guidance and technical standards for secure, scalable data, analytics, and AI/ML platforms. Designs and operationalizes pipelines, data products, MLOps workflows, integrations, governance, CI/CD, monitoring, and data-quality practices across Databricks and Palantir Foundry. Guides teams in moving prototypes to production, optimizing Spark workloads, implementing secure data sharing, and resolving architecture and performance issues. Collaborates with engineering, data science, security, BI, platform, and mission stakeholders in cleared environments.