AI engineering leader combining hands-on architecture, production AI systems, secure Edge AI, platform engineering and R&D leadership to turn prototypes into scalable, governed products.
My work sits at the intersection of AI engineering, secure systems, cloud and edge infrastructure, automation and technical leadership. I focus on moving AI from prototype into production: architecture, integration, deployment, monitoring, governance, rollback and operational evidence.
AI without governance becomes risk. Governance without innovation becomes stagnation. The strongest platforms make reliability, security and accountability part of the engineering architecture itself.
Lifecycle-first Edge AI for industrial fleets: optimization, governed deployment, monitoring, rollback and operational evidence.
Executable fail-closed governance for Edge AI releases with two-person approval, risk and drift gates, attestation evidence and MCP tooling.
Production-oriented workflow automation with typed contracts, tool boundaries, business-rule verification, human approval and auditable outcomes.
Production-oriented LLM quality pipeline that turns chatbot behavior into repeatable release gates across relevance, groundedness, reference coverage and policy compliance, with live Hugging Face inference and optional DeepEval semantic judging.
Translate business goals, technical constraints and risk into an executable AI roadmap.
Lead multidisciplinary teams from system architecture through implementation, validation and deployment.
Design for lifecycle operations: deployment, monitoring, governance, rollback and operational evidence.
Turn advanced AI and systems research into capabilities that customers can deploy and operate.
Bridge engineering, customers, researchers, executives, funders and industrial partners.
Make policy, accountability, evidence and recovery part of the platform architecture itself.
Lead AI/Edge AI strategy, R&D execution, platform architecture, technical productization, customer-facing innovation and industrial research programmes.
Applied R&D across AI infrastructure, trusted computing, cybersecurity and industrial systems, translating research into deployable technology.
Supervise graduate research in AI, cybersecurity, distributed systems, LLM security and secure digital infrastructure.
Lead Edge AI SDK architecture, embedded AI workflows, developer tooling and reproducible deployment infrastructure.
Research and teaching in computer architecture, FPGA systems, heterogeneous computing and hardware/software co-design.
I am interested in AI engineering leadership, AI architecture, secure production AI, Edge AI and Director of AI opportunities where deep technical execution and strategic ownership belong together.