Jacob White

Architected and led delivery of an enterprise agentic AI platform (RAG/GraphRAG, multi-agent) that reduced time-to-production ~45% and delivered $10–12M annualized business value while cutting inference costs by 60% for select workloads.

Designed and deployed computer vision and document-intelligence pipelines and MLOps platforms that increased document-processing throughput ~30% and reduced deployment time by ~70%, while improving extraction accuracy and reducing inference costs by 60% for personalization models.

Contributed to architecture and modernization of an enterprise e-commerce platform, reducing page load times by 40% and cutting hosting costs by 80% through migrations and frontend/backend optimizations.

Delivered PHP/Laravel e-commerce and analytics platforms, led frontend SPA development with React/Redux, and implemented ETL workflows that reduced campaign decision turnaround by ~52%.

Designed and developed enterprise ASP.NET MVC applications, improving system stability and reducing recurring production issues by ~30% while optimizing database performance and increasing test coverage.

Worked onsite for DISA developing web applications and test tooling using C++/CLI and ASP.NET, contributing to defense-related testing workflows and tooling reliability.

Developed .NET and Android applications interfacing with RF test equipment and multilateration systems, and maintained custom AOSP ROMs while supporting signal-tracking operations.

Doctoral program in Artificial Intelligence at The University of Texas at Dallas focused on advanced AI research and production-ready ML systems.

Master's degree in Computer Science with coursework and projects in machine learning, NLP, and large-scale systems.

Bachelor of Science in Mathematics and Computer Science with foundation in algorithms, mathematics, and software engineering.

Associate's Degree in Mathematics providing foundational coursework in calculus, discrete math, and statistics.