AI/ML Engineering Leader with 7+ years building production-grade AI systems across defense and enterprise environments, including 3+ years directly leading and growing engineering teams. Co-founded and led engineering for the Dream AI platform, recruiting and managing a team of AI/software engineers from early-stage build-out through production. Deep hands-on experience with generative AI, multi-agent architectures, and Model Context Protocol (MCP) agents, backed by a track record of turning ambiguous problems into shipped platform capabilities. Comfortable operating at both the roadmap and implementation level, with cross-functional stakeholder experience spanning defense leadership (OUSD(R&E), USAF), industry partners (Nvidia, Epic Games), and internal engineering teams. Fluent in Python and C++, with working knowledge of MLOps, vector databases, and real-time inference pipelines.

Leadership & Collaboration: Cross-Functional Team Leadership, DoD Stakeholder Engagement, Client Scoping & Delivery, Prototype-to-Production Scaling, Technical Roadmapping

AI Architectures: Multi-Agent Systems, RAG, Vision-Language Models (VLM), SLAM, Temporal Memory, Real-Time Inference Pipelines

Languages: Python, C++

Domains: Autonomous Vehicles, Defense AI, Edge Deployment, Human-AI Interaction, Low-Latency Systems, Interactive Production Systems

November 2025 – Present

• Design and integrate custom 3D simulation environments, real-time spatial assets, and embedded multi-agent AI systems for corporate and defense-facing client applications.
• Lead operational evaluations and performance red-teaming on deployed spatial AI tools and LLM agentic workflows to close vulnerabilities and establish client security SOPs.

March 2025 – November 2025

• Led a cross-functional team of AI and UX engineers as engineering lead on Maveric AI, a low-latency race crew chief system processing live telemetry for autonomous Formula-style cars, owning technical direction and delivery.
• Built and refined digital twin environments to validate autonomous vehicle performance ahead of track deployment, accelerating situational-awareness decision loops.
• Represented the team at DoD autonomous agent evaluation events (RAPTER, RDER, BAFB), engaging directly with military stakeholders to refine field usability and translate operator feedback into engineering priorities.

October 2020 – March 2025

• Helped found and scale the Dream AI engineering platform; recruited, hired, and managed a growing team of AI and software engineers, owning performance feedback, coaching, and technical growth.
• Set technical direction and prioritization for the platform roadmap, translating ambiguous product goals into concrete engineering milestones across the team.
• Partnered directly with Nvidia and Epic Games to align software roadmaps, report progress, and secure program-level support — owning cross-organizational stakeholder communication.
• Directed engine and rendering optimization work, including low-level RTOS/Linux/C++ frameworks and Unreal Engine rendering pipelines using dynamic lightmaps and point-cloud rendering.