Logan Gage

- Leading AI/ML program development, validation, and deployment initiatives across mission and enterprise systems. - Establishing enterprise ML pipelines supporting distributed compute and containerized workflows for operational scalability. - Developing model explainability and compliance frameworks to ensure trustworthy operational AI. - Overseeing multi-domain data fusion analytics and promote cross-program algorithm reuse. - Mentoring senior data scientists, fostering technical growth and alignment with organizational standards. - Defining and enforcing AI ethics and governance standards across mission programs. - Guiding R&D integration of advanced algorithms, federated learning, and data fusion analytics for next-generation applications.

One of two GenAI Subject Matter Experts responsible for the enterprise strategy, infrastructure, and adoption of large language models across the organization. Key contributions include: • Operate and maintain dual NVIDIA DGX GPU clusters hosting state-of-the-art open-source LLMs in both classified and unclassified environments • Architect and deploy internal GenAI developer platforms enabling secure employee access to local LLM capabilities • Build and maintain containerized AI infrastructure using Docker, Kubernetes, and GPU orchestration frameworks • Lead multi-year IRAD initiatives delivering AI-powered tools for knowledge management and productivity automation • Design and implement RAG pipelines using Weaviate and Verba for enterprise semantic retrieval systems • Developed LLM-powered structured extraction systems using Pydantic pipelines, reducing analyst workload by ~95% • Author and maintain the organization’s LLM usage policy and AI governance framework • Lead internal training programs covering prompt engineering, agent workflows, and applied LLM development • Mentor engineers and advise leadership on AI adoption and emerging model capabilities

Developed applied machine learning and NLP solutions supporting mission-critical analytics. Key contributions: • Built sentiment analysis pipelines using BERT and spaCy for multilingual social media analysis • Designed unsupervised anomaly detection models using HDBSCAN • Integrated multi-source intelligence data including geospatial, textual, and temporal datasets • Contributed to early AI/ML proof-of-concept systems that later evolved into enterprise AI initiatives

Responsible for contributing to the software project in all stages of the lifecycle: performing requirements analysis, software architecture and design, code implementation, unit test, creating and updating software documentation, and supporting integration and delivery activities.

Supports the day-to-day operation and modification/update of the deployed learning content management system (LCMS), learning management system (LMS), and electronic grade books (EGB) that support the on-site training team. Performs programming analysis such as investigating the feasibility of alternate program design approaches to determine the best balanced solution. Implements the interrelations of files and records within programs which will effectively fit into the overall design of the deployed LCMS, LMS and EGB; working with problems or concepts, develops programs for the solution to meet contract delivery requirements requiring the analysis and development of descriptions of functions to be programmed, and develops occasional special programs. Responsible to the C2 site/courseware manager for timely and accurate submission of all required reports and documentation as required.

Reserve duty at Barksdale AFB, LA as member of Command’s Analysis and Assessments division. Perform operations research and mathematical analysis to solve and to forecast existing and potential issues.

Master of Science in Data Science program designed for current and aspiring data science professionals looking to gain the advanced skills needed to manage, analyze, mine and understand complex data to make strategic decisions in their organizations. Through a combination of interactive coursework, collaborative group activities and online face-to-face classes, students gain the technical, analytical and communication skills needed to make meaningful data-driven decisions across various industries.