Design, implement, and optimize computer-vision and multimodal ML algorithms; acquire and manage truth data; run experiments and rigorous evaluations; use MLOps tools for reproducibility; integrate and transition models to production (cloud, on‑prem, or embedded); track research advancements and analyze field-test data.

Lead technical vision and execution for AI/ML, data management, decision systems, and mission-planning software. Manage multidisciplinary teams, oversee program schedule and budget, cultivate partner relationships, pursue business opportunities, and provide technical oversight and guidance to deliver mission-critical solutions.