AICIR
Policy-safe AI for real-time cloud attack detection, calibrated confidence scoring, and governed autonomous containment.
Cloud Architect · Independent Researcher
I design enterprise cloud platforms and research practical systems for AI governance, autonomous security, cyber resilience, and sustainable computing.
Selected research
My work connects formal governance models with deployable prototypes, measurable experiments, and enterprise operating constraints.
Policy-safe AI for real-time cloud attack detection, calibrated confidence scoring, and governed autonomous containment.
Trajectory-aware continuous authorization for autonomous AI agents operating under delegated enterprise permissions.
Green AI data centers through causal workload shaping, thermal-aware scheduling, and accountable efficiency decisions.
Evidence-driven cyber recovery research focused on trustworthy restoration, containment, and enterprise-grade validation.
Governed federated learning for multi-institution single-cell data with attack-aware validation and privacy safeguards.
Causal AI-driven change operations designed to prevent cloud failures before high-risk changes reach production.
About
I am a cloud architect and independent researcher with more than 15 years of experience across enterprise infrastructure, cloud security, platform engineering, and large-scale automation.
My research concentrates on systems that can be evaluated, reproduced, and responsibly deployed: secure autonomous agents, real-time cloud defense, causal operations, cyber recovery, sustainable computing, and governed biomedical AI.
Research notes
New Blogger posts appear below. Use them for paper summaries, experimental results, prototype releases, and research commentary.
Connect
For research discussion, peer-review opportunities, speaking, and professional collaboration, contact me directly.