Stephen Sequenzia

Across more than 20 years of hands-on engineering, technical leadership, and business ownership, the focus has remained consistent: building reliable systems, putting them into production, and delivering measurable results. At Lockheed Martin, that work now centers on leading AI/ML architecture and technical strategy for agentic AI systems across classified and unclassified defense programs, guiding multiple engineering teams across 8–10 concurrent efforts, and driving agentic engineering enablement for 500+ software and cyber engineers. The role remains deeply hands-on across context engineering, multi-agent runtimes, custom MCP services, evals, guardrails, MLOps, and distributed data platforms. Previous work includes founding and operating technology consulting and ML R&D businesses, as well as authoring open-source frameworks spanning the machine learning lifecycle, data engineering, and financial modeling. Across these efforts, the focus remains reliable systems and measurable outcomes, including an 85% reduction in ML deployment time and an average reduction of over 94% in deep learning training time.