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Carnell Smith@carnellsmith59602
3
Events attended
1
Submissions made
United States
20+ years of experience
About me
**Carnell E. Smith | “CHAMP”** Carnell E. Smith is a cybersecurity professional, technology architect, and founder of **Champtron Systems LLC**, with extensive experience supporting federal, defense, enterprise, and public-sector environments. His background includes cybersecurity operations, Zero Trust architecture, cloud security, incident response, vulnerability management, network security, infrastructure engineering, automation, artificial intelligence, and emerging technologies. He currently supports a **federal client in a cybersecurity capacity**, with a focus on information assurance, security monitoring, vulnerability management, incident investigations, application and infrastructure security, and Zero Trust initiatives. For privacy and operational security, specific client assignments, internal titles, environments, and sensitive program details are intentionally not publicly disclosed. Carnell is also the **Founder and Principal Cybersecurity Consultant of Champtron Systems LLC**, where he develops cybersecurity, AI, cloud, and automation solutions. His work includes projects such as **CHAMP ContainerGuard**, **CHAMP-QN**, **Champ-QuantumShield**, and **ChampAssetIQ**, with research spanning AI infrastructure security, container security, GPU workloads, post-quantum cryptography, automated asset intelligence, and Zero Trust technologies. He holds Associate, Bachelor’s, and Master’s degrees in computer information systems-related disciplines and maintains certifications across cybersecurity, cloud, Linux, and Microsoft technologies, including **Google Professional Cloud Architect, CompTIA CASP+, Security+, Linux+, Cloud+, LPIC-1, and Microsoft certifications**. He has also contributed as a **CompTIA Subject Matter Expert**. His primary areas of interest are **Cybersecurity | AI Security | Zero Trust | Cloud | Automation | Container Security | Quantum-Safe Technology**. **Carnell E. Smith — “CHAMP”** Founder, **Champtron Systems LLC**
🤓 Latest Submissions
CHAMP TableOps: Closed-Loop Physical AI
CHAMP TableOps is a Physical AI prototype that connects local generative AI reasoning with coordinated robotic action. Using Intel OpenVINO GenAI, a natural-language request such as “Set the table for two” is interpreted locally and mapped to a constrained, verified task contract before any motion begins. A MuJoCo simulation then coordinates two independently actuated robotic manipulators to grasp, lift, transfer, and place two plates at their target place settings. The key differentiator is closed-loop recovery. During the showcase, CHAMP TableOps intentionally introduces a 10-centimeter error into the right-hand placement. The system measures the result, recognizes that it is outside tolerance, commands the right manipulator to correct the plate, and verifies the scene again before declaring success. This demonstrates the full Physical AI loop: Perceive → Reason → Plan → Act → Verify → Correct. The AI model does not directly generate joint commands; it selects only from verified controller contracts, preserving a clear safety boundary between language reasoning and robot control. The current release runs OpenVINO reasoning locally on CPU, includes deterministic fallback behavior, supports headless and visual demos, and passes 24 automated tests.
16 Sep 2026
